System and method for maintaining efficiency of a heat sink

Information

  • Patent Grant
  • 11913737
  • Patent Number
    11,913,737
  • Date Filed
    Monday, March 20, 2023
    a year ago
  • Date Issued
    Tuesday, February 27, 2024
    8 months ago
Abstract
A heatsink comprising a heat exchange device having a plurality of heat exchange elements each having a surface boundary with respect to a heat transfer fluid, having successive elements or regions having varying size scales. According to one embodiment, an accumulation of dust or particles on a surface of the heatsink is reduced by a removal mechanism. The mechanism can be thermal pyrolysis, vibration, blowing, etc. In the case of vibration, adverse effects on the system to be cooled may be minimized by an active or passive vibration suppression system.
Description
FIELD OF THE INVENTION

This invention relates to the field of heatsinks or devices that transfer heat between a concentrated source or sink and a fluid, and systems and methods for maintaining the efficiency of the heatsink and cleaning heatsinks.


BACKGROUND OF THE INVENTION

All references mentioned herein are expressly incorporated by reference in their entirety for all purposes.


A heat sink is a term for a component or assembly that transfers heat generated within a solid material to a fluid or gas medium, such as air or a liquid. A heat sink is typically designed to increase the surface area in contact with the cooling fluid or gas surrounding it, such as the air. Approach air velocity, choice of material, fin (or other protrusion) design and surface treatment are some of the design factors which influence the thermal resistance, i.e. thermal performance, of a heat sink. See, en.wikipedia.org/wiki/Heat_sink.


Heatsinks operate by removing heat from an object to be cooled into the surrounding air, gas or liquid through convection and radiation. Convection occurs when heat is either carried passively from one point to another by fluid motion (forced convection) or when heat itself causes fluid motion (free convection). When forced convection and free convection occur together, the process is termed mixed convection. Radiation occurs when energy, for example in the form of heat, travels through a medium or through space and is ultimately absorbed by another body. Thermal radiation is the process by which the surface of an object radiates its thermal energy in the form of electromagnetic waves. Infrared radiation from a common household radiator or electric heater is an example of thermal radiation, as is the heat and light (IR and visible EM waves) emitted by a glowing incandescent light bulb. Thermal radiation is generated when heat from the movement of charged particles within atoms is converted to electromagnetic radiation.


Heat transfer is the exchange of thermal energy between physical systems. The rate of heat transfer is dependent on the temperatures of the systems and the properties and states of the intervening medium through which the heat is transferred. The three fundamental modes of heat transfer are conduction, convection, and radiation. Heat transfer, the flow of energy in the form of heat, is a process by which a system changes its internal energy. The direction of heat transfer is from a region of high temperature to a region of lower temperature, and is governed by the Second Law of Thermodynamics. Heat transfer changes the internal energy of the respective systems, and occurs in a direction that increases the entropy of the collection of systems. Thermal equilibrium is reached when all involved bodies and the surroundings reach the same temperature. Thermodynamic and mechanical heat transfer is calculated with the heat transfer coefficient, the proportionality between the heat flux and the thermodynamic driving force for the flow of heat. See, Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics (A Work in Progress), Department of Physics, University of California, San Diego, Nov. 14, 2013.


The fundamental modes of heat transfer are: Advection (the transport mechanism of a fluid from one location to another, and is dependent on motion and momentum of that fluid); Conduction or diffusion (the transfer of energy between objects that are in physical contact); Convection (The transfer of energy between an object and its environment, due to fluid motion); and Radiation (The transfer of energy by the emission of electromagnetic radiation in the infrared part of the spectrum).


Heat conduction occurs as hot, rapidly moving or vibrating atoms and molecules interact with neighboring atoms and molecules, transferring some of their energy (heat) to these neighboring particles. Conduction tends to be the most significant means of heat transfer within a solid or between solid objects in thermal contact. Heat transfer between the heat source and heat sink, as well as through the heat sink, are conductive transfer. Advection operates by transferring matter with its thermal energy, over space. Convective heat transfer, or convection, is the transfer of heat from one place to another by the movement of fluids, a process that is essentially the transfer of heat via mass transfer, and usually combines effects of heat conduction within the fluid (diffusion) and heat transference by bulk fluid flow streaming.


Convective cooling is sometimes described as Newton's law of cooling: The rate of heat loss of a body is proportional to the temperature difference between the body and its surroundings, however convective cooling sometimes deviates from this “law”. In general, convection is not linearly dependent on temperature gradients, and in some cases is strongly nonlinear.


radiative transfer between two objects is described by and T is the absolute temperature (in Kelvin or Rankine).


Radiance or spectral radiance is a measure of the quantity of radiation that passes through or is emitted. Radiant barriers are materials that reflect radiation, and therefore reduce the flow of heat from radiation sources. The effectiveness of a radiant barrier is indicated by its reflectivity, which is the fraction of radiation reflected. A material with a high reflectivity (at a given wavelength) has a low emissivity (at that same wavelength), and vice versa. At any specific wavelength, reflectivity=1−emissivity.


A heatsink tends to decrease the maximum temperature of the exposed surface, because the power is transferred to a larger volume. This leads to a possibility of diminishing return on larger heatsinks, since the radiative and convective dissipation tends to be related to the temperature differential between the heatsink surface and the external medium. Therefore, if the heatsink is oversized, the efficiency of heat shedding is poor. If the heatsink is undersized, the object may be insufficiently cooled, the surface of the heatsink dangerously hot, and the heat shedding not much greater than the object itself absent the heatsink.


A heat sink transfers thermal energy from a higher temperature to a lower temperature fluid or gas medium, by a process such as radiation, convection, and diffusion. The fluid medium is frequently air, but can also be water or in the case of heat exchangers, oil, and refrigerants. Fourier's law of heat conduction, simplified to a one-dimensional form in the direction x, shows that when there is a temperature gradient in a body, heat will be transferred from the higher temperature region to the lower temperature region. The rate at which heat is transferred by conduction, qk, is proportional to the product of the temperature gradient and the cross-sectional area through which heat is transferred:










q
k

==

kA



d

T


d

x







(
1
)







where qk is the rate of conduction, k is a constant which depends on the heat-conducting material, A is the surface area through which the heat is conducted, and dT/dx is the temperature gradient, i.e., the rate of change of temperature with respect to distance (for simplicity, the equation is written in one dimension). Thus, according to Fourier's law (which is not the only consideration by any means), heatsinks benefit from having a large surface area exposed to the medium into which the heat is to be transferred.


When dust settles on a heatsink, the area changes (typically increases, but by coating a microstructured surface, the area may decrease), and the constant k will typically decrease, since the dust is not an optimized heat transfer material, and often is a heat insulating material. The result is significant loss of heatsink efficiency.


Consider a heat sink in a duct, where air flows through the duct, and the heat sink base is higher in temperature than the air. Assuming conservation of energy, for steady-state conditions, and applying the convection-cooling law, also known as the Newton's law of cooling, gives the following set of equations.











Q
.

=


m
.




c

p
,

i

n



(


T

air
,
out


-

T

air
,


i

n




)



,





(
2
)














Q
.

=



T

h

s


-

T


a

i

r

,

a

v





R
hs



,




(
3
)














where



T


a

i

r

,

a

v




=



T


a

i

r

,

o

u

t



+

T

air
,

i

n




2


,




(
4
)







and {dot over (Q)} is the first derivative of the thermal energy over time







-

Q
.


=



d

Q


d

t


.





Using the mean air temperature is an assumption that is valid for relatively short heat sinks. When compact heat exchangers are calculated, the logarithmic mean air temperature is used. {dot over (m)} is the first derivative of mass over time, i.e., the air mass flow rate in kg/s.


The above equations show that when the airflow through or around the heat sink decreases, this results in an increase in the average air temperature. This in turn increases the heat sink base temperature. And additionally, the thermal resistance of the heat sink will also increase. The net result is a higher heat sink base temperature. The inlet air temperature relates strongly with the heat sink base temperature. Therefore, if there is no air or fluid flow around the heat sink, the energy dissipated to the air cannot be transferred to the ambient air. Therefore, the heatsink functions poorly.


The fractal or branching architecture may be compelled by the thermal transfer design, or other design constraint. For example, a fractal antenna may also serve as a heatsink, with the fractal features not critically optimized as comparted to other designs with respect to heat shedding. See, Casanova, Joaquin J., Jason A. Taylor, and Jenshan Lin. “Design of a 3-D fractal heatsink antenna.” Antennas and Wireless Propagation Letters, IEEE 9 (2010): 1061-1064. See also, Dannelley, Daniel. Enhancement of extended surface heat transfer using fractal-like geometries. Diss. The University of Alabama TUSCALOOSA, 2013; and Lee, S. R., Li, Z. G., Wang, B. G., Chiou, H. S., 2005, “An application of the Fractal Theory in the Design of Heat Sink for Precision Measurement Instrument,” Key Engineering Materials, 295-296, pp. 717-722.


If a heatsink is initially optimized, the accretion of dust at the surface will de-optimize the air flows and heat conductivity of heatsink fins, and also decrease efficiency on that basis.


Various methods have been proposed for removing dust from heatsink fins, including vibration (See, U.S. 20070058346; 20080121373; 20080121374; 20090272404; 6,544,309; 5,566,377; 8,203,840; 8,400,766), air jets, and the like.


There are various methods to reduce damage to substrates (e.g. semiconductors) while being subjected to vibrations (e.g. ultrasound) for purposes of cleaning (e.g. removing dust etc.). For example, the power intensity of vibration may be lowered using an attenuator, etc. (See, U.S. Pat. No. 6,679,272; US 20060260638; WO2008086479A2.


The frequency of vibrations may be controlled to reduce the effect on nano-dimensioned structures on the substrate (US 20130206165). More generally, the sensitivity of the structure to be protected to vibration as a function of frequency may be determined, and the high sensitivity frequencies may be avoided.


The directionality of waves may be controlled using constructive interference (U.S. Pat. Nos. 6,276,370; 7,614,406). The angle of incidence of the vibrations onto substrate may be controlled (U.S. Pat. No. 7,238,085). That is, vibrations or shock waves from a transducer have a propagation direction, as they travel along a vector path. As a result, the vibrations may be cancelled by either active means, i.e. a second transducer, or passive means, by causing self-interference. In either case, the vibrations at a point may be cancelled, while in other regions, the vibrations may be significant.


It is noted that the vibrations used to facilitate cleaning may have low damage potential for the sensitive structures per se, but could cause damage as a result of resonances and constructive and/or destructive interference (U.S. Pat. No. 5,834,871; US 20050003737). Therefore, the structures may be designed to avoid enhancement of the vibration amplitude at or near sensitive structures, while potentially ensuring resonances and constructive interference at distal structures where the vibration action is intended.


Thermal interfaces that are elastomeric in nature may be used to isolate the sensitive structures from vibrations (U.S. Pat. No. 6,002,588). Similarly, through-holes may be provided within the substrate in order to dampen the vibrations (US 20080017219). More generally, a selective thermally conductive vibration damping structure or material may be provided disposed along the path of vibrations from a source to the thermal emitter.


According to one set of embodiments, a transducer is provided to generate a standing wave field of vibrations. However, the sensitive structure is disposed outside of the standing wave. (US 20130312787). For example, a transducer may be provided to launch standing waves into a bilateral structure, with the heat source provided along an orthogonal axis wherein vibrations from each side of the transducer bypass or destructively interfere at the heat source. The standing wave is intended to cause movement of the fine feature elements of the heatsink, to dislodge debris.


The heatsink may also be cleansed by controlling factors such as pressure, temperature, nature of cleaning fluid (US 20050003737).


Other examples of situations, in which a heat sink has impaired efficiency: (a) pin fins have a lot of surface area, but the pins are so close together that air has a hard time flowing through them; (b) aligning a heat sink so that the fins are not in the direction of flow; (c) aligning the fins horizontally for a natural convection heat sink. Whilst a heat sink is stationary and there are no centrifugal forces and artificial gravity, air that is warmer than the ambient temperature always flows upward, given essentially-still-air surroundings; this is convective cooling.


The most common heat sink material is aluminum. Chemically pure aluminum is not used in the manufacture of heat sinks, but rather aluminum alloys. Aluminum alloy 1050A has one of the higher thermal conductivity values at 229 W/m·K. However, it is not recommended for machining, since it is a relatively soft material. Aluminum alloys 6061 and 6063 are the more commonly used aluminum alloys, with thermal conductivity values of 166 and 201 W/m·K, respectively. The aforementioned values are dependent on the temper of the alloy.


Copper is also used since it has around twice the conductivity of aluminum, but is three times as heavy as aluminum. Copper is also around four to six times more expensive than aluminum, but this is market dependent. Aluminum has the added advantage that it is able to be extruded, while copper cannot. Copper heat sinks are machined and skived. Another method of manufacture is to solder the fins into the heat sink base.


Another heat sink material that can be used is diamond. With a thermal conductivity value of 2000 W/m·K, it exceeds that of copper by a factor of five. In contrast to metals, where heat is conducted by delocalized electrons, lattice vibrations are responsible for diamond's very high thermal conductivity. For thermal management applications, the outstanding thermal conductivity and diffusivity of diamond are essential. CVD diamond may be used as a sub-mount for high-power integrated circuits and laser diodes.


Composite materials also can be used. Examples are a copper-tungsten pseudoalloy, AlSiC (silicon carbide in aluminum matrix), Dymalloy (diamond in copper-silver alloy matrix), and E-Material (beryllium oxide in beryllium matrix). Such materials are often used as substrates for chips, as their thermal expansion coefficient can be matched to ceramics and semiconductors.


Fin efficiency is one of the parameters which make a higher thermal conductivity material important. A fin of a heat sink may be considered to be a flat plate with heat flowing in one end and being dissipated into the surrounding fluid as it travels to the other. As heat flows through the fin, the combination of the thermal resistance of the heat sink impeding the flow and the heat lost due to convection, the temperature of the fin and, therefore, the heat transfer to the fluid, will decrease from the base to the end of the fin. This factor is called the fin efficiency and is defined as the actual heat transferred by the fin, divided by the heat transfer were the fin to be isothermal (hypothetically the fin having infinite thermal conductivity). Equations 5 and 6 are applicable for straight fins.











η
f

=


tanh



(

m


L
c


)



m


L
c




,




(
5
)














m


L
c


=




2


h
f



k


t
f





L
f




,




(
6
)







Where hf is the convection coefficient of the fin (Air: 10 to 100 W/(m2·K), Water: 500 to 10,000 W/(m2·K)); k is the thermal conductivity of the fin material (Aluminum: 120 to 240 W/(m2·K)); Lf is the fin height (m); and tf is the fin thickness (m).


Another parameter that concerns the thermal conductivity of the heat sink material is spreading resistance. Spreading resistance occurs when thermal energy is transferred from a small area to a larger area in a substance with finite thermal conductivity. In a heat sink, this means that heat does not distribute uniformly through the heat sink base. The spreading resistance phenomenon is shown by how the heat travels from the heat source location and causes a large temperature gradient between the heat source and the edges of the heat sink. This means that some fins are at a lower temperature than if the heat source were uniform across the base of the heat sink. This non-uniformity increases the heat sink's effective thermal resistance.


A pin fin heat sink is a heat sink that has pins that extend from its base. The pins can be, for example, cylindrical, elliptical or square/geometric polygonal. A second type of heat sink fin arrangement is the straight fin. These run the entire length of the heat sink. A variation on the straight fin heat sink is a cross cut heat sink. A straight fin heat sink is cut at regular intervals but at a coarser pitch than a pin fin type.


In general, the more surface area a heat sink has, the better it works. However, this is not always true. The concept of a pin fin heat sink is to try to pack as much surface area into a given volume as possible. As well, it works well in any orientation. Kordyban has compared the performance of a pin fin and a straight fin heat sink of similar dimensions. Although the pin fin has 194 cm2 surface area while the straight fin has 58 cm2, the temperature difference between the heat sink base and the ambient air for the pin fin is 50° C. For the straight fin it was 44° C. or 6° C. better than the pin fin. Pin fin heat sink performance is significantly better than straight fins when used in their intended application where the fluid flows axially along the pins rather than only tangentially across the pins. See, Kordyban, T., Hot air rises and heat sinks—Everything you know about cooling electronics is wrong, ASME Press, NY 1998.


Another configuration is the flared fin heat sink; its fins are not parallel to each other, but rather diverge with increasing distance from the base. Flaring the fins decreases flow resistance and makes more air go through the heat sink fin channel; otherwise, more air would bypass the fins. Slanting them keeps the overall dimensions the same, but offers longer fins. Forghan, et al. have published data on tests conducted on pin fin, straight fin and flared fin heat sinks. See, Forghan, F., Goldthwaite, D., Ulinski, M., Metghalchi, M., Experimental and Theoretical Investigation of Thermal Performance of Heat Sinks, ISME, May. 2001. They found that for low approach air velocity, typically around 1 m/s, the thermal performance is at least 20% better than straight fin heat sinks. Lasance and Eggink also found that for the bypass configurations that they tested, the flared heat sink performed better than the other heat sinks tested. See, Lasance, C. J. M and Eggink, H. J., A Method to Rank Heat Sinks in Practice: The Heat Sink Performance Tester, 21st IEEE Semi-Therm Symposium 2001.


The heat transfer from the heatsink is mediated by two effects: conduction via the coolant, and thermal radiation. The surface of the heatsink influences its emissivity; shiny metal absorbs and radiates only a small amount of heat, while matte black is a good radiator. In coolant-mediated heat transfer, the contribution of radiation is generally small. A layer of coating on the heatsink can then be counterproductive, as its thermal resistance can impair heat flow from the fins to the coolant. Finned heatsinks with convective or forced flow will not benefit significantly from being colored. In situations with significant contribution of radiative cooling, e.g. in case of a flat non-finned panel acting as a heatsink with low airflow, the heatsink surface finish can play an important role. Matte-black surfaces will radiate much more efficiently than shiny bare metal. The importance of radiative vs. coolant-mediated heat transfer increases in situations with low ambient air pressure (e.g. high-altitude operations) or in vacuum (e.g. satellites in space). See, Fourier, J. B., 1822, Theorie analytique de la chaleur, Paris; Freeman, A., 1955, translation, Dover Publications, Inc, NY; Kordyban, T., 1998, Hot air rises and heat sinks—Everything you know about cooling electronics is wrong, ASME Press, NY; Anon, Unknown, “Heat sink selection”, Mechanical engineering department, San Jose State University [27 Jan. 2010]; www.engr.sjsu.edu/ndejong/ME %20146%20files/Heat %20Sink.ppt; Sergent, J. and Krum, A., 1998, Thermal management handbook for electronic assemblies, First Edition, McGraw-Hill; Incropera, F. P. and DeWitt, D. P., 1985, Introduction to heat transfer, John Wiley and sons, NY; Forghan, F., Goldthwaite, D., Ulinski, M., Metghalchi, M., 2001, Experimental and Theoretical Investigation of Thermal Performance of Heat Sinks, ISME May; Lasance, C. J. M and Eggink, H. J., 2001, A Method to Rank Heat Sinks in Practice: The Heat Sink Performance Tester, 21st IEEE SEMI-THERM Symposium; ludens.cl/Electron/Thermal.html; Lienard, J. H., IV & V, 2004, A Heat Transfer Textbook, Third edition, MIT; Saint-Gobain, 2004, “Thermal management solutions for electronic equipment” 22 Jul. 2008 www.fff.saint-gobain.com/Media/Documents/S0000000000000001036/ThermaCool %20Brochure.pdf; Jeggels, Y. U., Dobson, R. T., Jeggels, D. H., Comparison of the cooling performance between heat pipe and aluminium conductors for electronic equipment enclosures, Proceedings of the 14th International Heat Pipe Conference, Florianópolis, Brazil, 2007; Prstic, S., Iyengar, M., and Bar-Cohen, A., 2000, Bypass effect in high performance heat sinks, Proceedings of the International Thermal Science Seminar Bled, Slovenia, June 11-14; Mills, A. F., 1999, Heat transfer, Second edition, Prentice Hall; Potter, C. M. and Wiggert, D. C., 2002, Mechanics of fluid, Third Edition, Brooks/Cole; White, F. M., 1999, Fluid mechanics, Fourth edition, McGraw-Hill International; Azar, A, et al., 2009, “Heat sink testing methods and common oversights”, Qpedia Thermal E-Magazine, January 2009 Issue;

    • www.qats.com/cpanel/UploadedPdf/January20092.pdf.


Several structurally complex heatsink designs are discussed in Hernon, US 2009/032104.


The relationship between friction and convention in heatsinks is discussed in Frigus Primore, “A Method for Comparing Heat Sinks Based on Reynolds Analogy,” available at akemalhammar.fr/downloads/Reynolds_analogy_heatsinks.PDF. This article notes that for, plates, parallel plates, and cylinders to be cooled, it is necessary for the velocity of the surrounding fluid to be low in order to minimize mechanical power losses. However, larger surface flow velocities will increase the heat transfer efficiency, especially where the flow near the surface is turbulent, and substantially disrupts a stagnant surface boundary layer. Primore also discusses heatsink fin shapes and notes that no fin shape offers any heat dissipation or weight advantage compared with planar fins, and that straight fins minimize pressure losses while maximizing heat flow. Therefore, the art generally teaches that generally flat and planar surfaces are appropriate for most heatsinks.


Frigus Primore, “Natural Convection and Inclined Parallel Plates,” www.engineeringclicks.com/natural-convection-and-inclined-parallel-plates/, discusses the use of natural convection (i.e., convection due to the thermal expansion of a gas surrounding a solid heatsink in normal operating conditions) to cool electronics. One of the design goals of various heatsinks is to increase the rate of natural convection. Primore suggests using parallel plates to attain this result. Once again, Primore notes that parallel plate heat sinks are the most efficient and attempts to define the optimal spacing and angle (relative to the direction of the fluid flow) of the heat sinks according to the equations in FIG. 1:


Optimum Plate Spacing













S
opt

=





k
s

(

L

d

T


)

0.25

·
cos





(
γ
)


-
0.25













γ
opt

=

a


tan



(


1

H


3

W


)







H
W

<

3








γ
opt

=


π
4

-

0
.508


(

H
W

)


-
1.237









H
W

>

3








(
1
)







Total Heat Dissipation













Q
.

=


k
v

·

k
γ

·

A
c

·

H

0
.
5


·

dT
1.5












k
γ

=


1
+


1
9




(

H
W

)

2









H
W

<

3








k
γ

=


0


.307
·


(

H
W

)


-

0
.
5





+

0


.696
·


(

H
W

)


-
0.5










H
W

>

3








(
2
)







Applied Equation

{dot over (Q)}=ηv·kv·kγ·Ac·H0.5·dTref1.5  (3)

    • dT=Temperature difference (K)
    • Ac=W·D
    • ηv=Volumetric efficiency [— —]
    • Q=Heat dissipation [W]


In another article titled “Natural Convection and Chimneys,” available at akemalhammar.fr/articels2/parallel_pl_Inc.html, discusses the use of parallel plates in chimney heat sinks. One purpose of this type of design is to combine more efficient natural convection with a chimney. Primore notes that the design suffers if there is laminar flow (which creates a re-circulation region in the fluid outlet, thereby completely eliminating the benefit of the chimney) but benefits if there is turbulent flow which allows heat to travel from the parallel plates into the chimney and surrounding fluid.


Batten, Paul, et al. “Sub-Grid Turbulence Modeling for Unsteady Flow with Acoustic Resonance,” available at www.researchgate.net/publication/269068673_Sub-grid_turbulence_modeling_for_unsteady_flow_with_acoustic_resonance, discuss that when a fluid is flowing around an obstacle, localized geometric features, such as concave regions or cavities, create pockets of separated flow which can generate self-sustaining oscillations and acoustic resonance. The concave regions or cavities serve to substantially reduce narrow band acoustic resonance as compared to flat surfaces. This is beneficial to a heat sink in a turbulent flow environment because it allows for the reduction of oscillations and acoustic resonance, and therefore for an increase in the energy available for heat transfer.


Liu, S., et al., “Heat Transfer and Pressure Drop in Fractal Microchannel Heat Sink for Cooling of Electronic Chips,” 44 Heat Mass Transfer 221 (2007), discuss a heatsink with a “fractal-like branching flow network.” Liu's heatsink includes channels through which fluids would flow in order to exchange heat with the heatsink.


Y. J. Lee, “Enhanced Microchannel Heat Sinks Using Oblique Fins,” IPACK 2009-89059, similarly discusses a heat sink comprising a “fractal-shaped microchannel based on the fractal pattern of mammalian circulatory and respiratory system.” Lee's idea, similar to that of Liu, is that there would be channels inside the heatsink through which a fluid could flow to exchange heat with the heatsink. The stated improvement in Lee's heatsink is (1) the disruption of the thermal boundary layer development; and (2) the generation of secondary flows.


Pence, D. V., 2002, “Reduced Pumping Power and Wall Temperature in Microchannel Heat Sinks with Fractal-like Branching Channel Networks”, Microscale Thermophys. Eng. 5, pp. 293-311, mentions heatsinks that have fractal-like channels allowing fluid to enter into the heat sink. The described advantage of Pence's structure is increased exposure of the heat sink to the fluid and lower pressure drops of the fluid while in the heatsink.


In general, a properly designed heatsink system will take advantage of thermally induced convection or forced air (e.g., a fan). In general, a turbulent flow near the surface of the heatsink disturbs a stagnant surface layer, and improves performance. In many cases, the heatsink operates in a non-ideal environment subject to dust or oil; therefore, the heatsink design must accommodate the typical operating conditions, in addition to the as-manufactured state.


Therefore, two factors appear to conflict in optimizing the configuration of an external heat exchange surface: the surface configuration designed to disturb laminar flow patterns, create turbulence, and enhance convective heat transfer, and the desire to efficiently flow large volumes of heat transfer fluid (e.g., air), over the surfaces, which is enhanced by laminar (smooth) flow. Even in passive dissipative device, convective flow may be a significant factor, and reducing air flow volume and velocity by increasing the effective impedance can be counterproductive. On the other hand, in some cases, the amount of energy necessary to move the air is dwarfed by the problem to be solved. In many computing systems, the processors are thermally constrained, that is, the functioning of the processor is limited by the ability to shed heat. In such cases, innovative ways to improve the efficiency of heat transfer may yield significant benefit, even if in some regimes of operation, they impose certain inefficiencies.


Prior art heatsink designs have traditionally concentrated on geometry that is Euclidian, involving structures such as the pin fins, straight fins, and flares discussed above.


N J Ryan, D A Stone, “Application of the FD-TD method to modelling the electromagnetic radiation from heatsinks”, IEEE International Conference on Electromagnetic Compatibility, 1997. 10th (1-3 Sep. 1997), pp: 119-124, discloses a fractal antenna which also serves as a heatsink in a radio frequency transmitter.


Lance Covert, Jenshan Lin, Dan Janning, Thomas Dalrymple, “5.8 GHz orientation-specific extruded-fin heatsink antennas for 3D RF system integration”, 23 Apr. 2008 DOI: 10.1002/mop.23478, Microwave and Optical Technology Letters Volume 50, Issue 7, pages 1826-1831, July 2008 also provide a heatsink which can be used as an antenna.


See, U.S. 20140098542; 20130309778; 20130286666; 20130155687; 20130042893; 20120174650; 20120031272; 20110280019; 20110226460; 20090045967; 20090021270; 20070041159; 20060072289; 8,784,540; 8,764,243; 8,602,599; 8,539,840; 8,506,674; 8,491,683; 7,696,890; 7,113,402; and 5,856,836.


SUMMARY OF THE INVENTION

In a preferred embodiment, a heatsink employed according to the present technology provides a branched 3D network of elements, which have a high surface area and, especially, near the terminal branches, have microstructured surfaces. As a result, dust may accumulate on the surfaces, resulting in decreased surface area as the dust obscures the microstructuring, increased thermal resistance, and deoptimized air flow patterns. Therefore, various technologies may be provided to reduce or eliminate the dust deposition on the surfaces than may occur in real-world environments:

    • vacuum environment;
    • filtering of the incoming air which circulates around the heatsink, e.g., using a HEPA filter;
    • clean liquid heat transfer medium;
    • air jet(s) which operate continuously or periodically to dislodge dust particles;
    • inducing electrostatic charge on the dust particles to repel them from the surface of the heatsink;
    • high voltage electric fields with or without electric discharge to cause the dust particles to move in response to the fields;
    • pyrolizing the dust (or binding factors within the dust that cause sticking to the surfaces), such as by intermittent IR laser emissions, resistive heating of the terminal branches of the heatsink, radiative heating, combustion, or other processes;
    • narrowband vibration over a range of frequencies representing resonances in the branches of the heatsink;
    • impulse vibration (e.g., from a piezoelectric transducer);
    • use of shape memory alloys, and causing a transition through the Curie temperature to induce significant shape change, resulting in surface stresses to dislodge dust.


In various cases, the physical effect sought to be employed to prevent dust accumulation or to dislodge the dust may impair or risk impairing the device being protected by the heatsink. For example, pyrolysis of the dust or its binder requires high temperatures, which would normally diffuse back to the device being protected. However, according to the present technology, this can be prevented by focusing the effect on the terminal branches of the heatsink. For example, a catalytic coating on the tips of the heatsink branches would permit a sub-explosive mixture of a combustible gas to combust at the catalyst, while air flows on other portions of the heatsink could protect the device from overheating. Similarly, use of an infrared (or other wavelength) pulse laser would cause two distinct effects to reduce dust accumulation: first, the laser would heat the immediate region of the heatsink irradiated by the laser, and second, the rapid thermal expansion of the heated material would generate a pressure shock wave that would tend to fracture the aggregated dust material; the amount of heat used need not be significant with respect to the heat load capacity of the heatsink. Therefore, heat-based technologies may acceptably be employed to remove dust.


A current flowing through the branched heatsink would cause heating, with higher temperatures at the narrow terminal branches. The voltages associated with high currents flowing through a metallic heatsink are low, and would generally not cause damage to electronics unless flowing through a forward-biased junction. Therefore, if the heating was performed as periodic pulses, the tips of the branched network would heat, and that heating would tend to reduce binding of the dust and cause a thermal expansion that would cause a strain in the dust layer that would reduce adhesion. Therefore, the dust layer would be disrupted. Similarly, a current passing through a shape memory allow such as Nitinol, would cause mechanical stresses and strains that could disrupt a dust layer, without requiring high temperature excursions beyond the Curie temperature of the material.


The use of vibration, wither continuous or pulsed, may cause damage to the device protected by the heatsink. One way to protect the device is through a liquid or gel-like layer that does not support propagation of shear waves, and exciting the vibrations in a shear mode. As such, the liquid or gel interface, which may be a heat transfer paste, may isolate the device to be protected from the vibration. In some cases, an active vibration suppression technology may be employed, such as a piezoelectric transducer that emits a feedback-controlled vibration to reduce the vibration experienced by the device to be protected.


Vibration is particularly interesting as a physical process to dislodge dust and debris and to maintain cleanliness of the heat exchange surfaces. The process imposes three constraints: first, vibration itself creates heat, which may or may not be a significant factor; second, many systems which generate heat may themselves be sensitive to vibration, for example bond wires of integrated circuits; and third, significant vibration may lead to fracture failure of the heatsink, bearing in mind that the vibration should have sufficient amplitude to generate inertia in the particulates at the surface to overcome the adhesive forces, and the movement may also create turbulence in the surrounding heat exchange media. In order to overcome these issues, a vibration isolator may be provided between the heat source and the source of vibration, which may be, for example, a piezoelectric element or electromagnetic element. The vibration isolator may be, for example, a plastic thermal transfer medium (e.g., a paste), a non-shear transmissive solid, such as a wire bundle (e.g., thin copper wires), an active vibration suppression interface, or the like. Further, the branching or fractal characteristics of the heatsink may be exploited to selectively transmit the vibrations distally from the source, by selecting the frequency or frequency range, vibration mode, etc., to generate significant movement of the distal branches of the heatsink, without unduly stressing the heat source. In another embodiment, the heatsink is “separable” from the heat source over a short period, and during that period, a large impulse is launched in the heatsink, to dislodge dust; the heatsink is thereafter reconnected to the source. In another embodiment, the heatsink is supported on an anisotropic mount (e.g., piston in cylinder), that provides good heat transfer, but does not support transmission of vibrations along at least one axis, which is then used as the axis of excitation for dust removal.


Electrostatic charge may cause damage to semiconductors. In order for electrostatic repulsion to be effective, the dust particles should be charged to a net charge of the same polarity as the heatsink, with an oppositely charged collector in the air flow path to divert the dust. The dust may be charged with a radioisotope, typically a low energy alpha or beta particle emitter, or through induced charge by charged plates, screen, or electron emitting surface. The voltages will typically be in the hundreds or low thousands of Volts, and in an environment that maintains such potential differences, discharge events may be common. If the device being protected or other nearby devices are static or static discharge sensitive, the result may be damage to the sensitive components. One way to reduce this issue is to dielectrically isolate the protected device from the electrically charged heatsink. For example, a high thermal conductivity layer, such as a diamond-like layer, may be provided as an electrical conduction barrier, with the sensitive device-side electrically grounded. This configuration might permit (or in some cases, encourage) dust deposition on the grounded portion of the heatsink and sensitive device; however, the structure of the branched network is such that accumulation of dust at the root of the branching network does not substantially impair heatsink operation.


In a vacuum environment, no dust is present, but convective heat transfer is prevented. Nevertheless, heat transfer through radiation may be sufficient, as fractal structures are known to be extremely efficient antennas for transmitting electromagnetic radiation. If the air passing over the heatsink is filtered with a HEPA filter, the presence of dust is significantly reduced, but the air-movement efficiency is also impaired. Air jets (typically with filtered air) may be aimed at portions of the heatsink and used to blow away accumulated dust. These have low efficiency with respect to the air in the jet being used as a heat transfer medium, but are efficient in removing dust. In some cases, an air jet can consolidate and densify loose dust, and therefore such jets should operate frequently, before significant dust accumulation can occur.


In a vacuum or radiative embodiment, the design of the exterior surface may be optimized to maximize emission (generally by maximizing hot surface area), and minimize recapture of radiated heat, among other constraints. This can generally be met by texturing the surface and avoiding hot parallel surfaces and especially by inclining surfaces with respect to each other. In three dimensions, the optimized radiant heatsink may be fractal, since these can be optimized to have high surface area, and obtuse relative angles. Likewise, more distal portions of the heatsink from the heat source may have more reflective surfaces than proximal portions, which may have greater emissivity. When such devices are subject to convective cooling as well, the recapture may be less of a factor in the overall efficiency, but should not be ignored, especially at the high temperature regions of the heatsink. In the convective case, the fluid may have entrained particles or dust, and this dust may be captured by or adhere to surfaces of the heatsink, reducing its efficiency by changing the shape and surface emissivity characteristics, changing the heat diffusion characteristics within the solid phases, and impairing convection.


A time-varying flow of a fluid, e.g., a heat exchange media, can be provided over the heatsink. This achieves a number of advantages. First, while a high flow rate peak may be an inefficient use of energy in terms of running the fan or pump, the high flow rate may assist in dislodging dust by inertia and turbulence. Second, the changes in flow rate will tend to create time-varying tensor flow patterns that increase the probability that the dust or debris will be at least temporarily dislodged from the surface and available for advective flow in the fluid medium. Third, the time varying flow, especially peak rates, can disrupt surface fluid boundary layers, increasing the advective component of the convective transfer process.


In some cases, non-adhesive particles may be entrained in the stream, to assist in removing surface debris. That is, while normally dust and particulates are sought to be avoided near the heatsink, by intentionally entraining specific particles, dust removal may be facilitated. For example, relatively dense particles entrained in a fluid flow can impact the surfaces of the heatsink, and as a result dislodge adherent dust or particles. While often a minor effect, the particles can themselves participate in conductive and advective heat transfer. Further, the heterogeneous fluid with particles can enhance turbulent flow patterns around the surfaces of the heatsink, enhancing heat flow from the surfaces. The heatsink system is typically a closed system, and therefore the entrained particles may then be recollected, filtered (to remove the undesired dust), and reused. In one embodiment, the particles are magnetic, and can therefore be collected magnetically, relaxing the need for a sealed system. Similarly, electrostatic particle collection technology may be employed. With respect to magnetic particles, the heatsink itself may be periodically magnetized, for cause the cool magnetic particles to stick, and thereafter demagnetized, permitting the heated magnetic particles to become free and entrained in the surrounding fluid, thus enhancing the advective heat transfer process. Similarly, in a vacuum or low pressure environment, transient contact of the particles (magnetic or otherwise) with the heat transfer surfaces may facilitate advective heat transfer as an adjunct to radiative heat transfer, and thus the particles need not be entrained in a fluid.


The result of the fluid flow process, especially under dynamically changing conditions, can be complex. For example, the flow can cause turbulent flow around the heat exchange elements, which induce complex pressure differentials, vibrations, and inertial flow patterns. Dynamically changing the flow rate or flow pattern can help distribute the turbulent dynamics over various regions of the heatsink surface. Thus, the entire surface of the heatsink need not be subject to continual high fluid flow rates, and only a small portion of the surface at any given time might be subject to a “jet” of fluid flow, thus reducing the energy disadvantage. Meanwhile, the jet may be strategically focused on portions of the heatsink intended to achieve particular effects. When the jet (or more generally, high flow rate stream) is focused or directed at the hot portion of the heatsink, higher convective heat transfer will occur. However, discontinuous high flow rates may be advantageous, since a reduced fluid flow on a region will tend to cause a diffusive heat transfer to the heat transfer material underlying the cooled surface, and thus lead to higher efficiency heat transfer when the jet or stream returns. Meanwhile, the jet or stream can be directed to other portions of the heatsink. This, in turn, causes dynamic temperature gradients within the heatsink, which can be controlled to causes pulsatile heating at the periphery of the heatsink, especially in a branched network. Thus, for example, in a fractal branched heatsink, the stream of fluid can be controlled to permit various regions of the heatsink to undergo heating and cooling cycles, such that the hot spots on the heatsink are dynamically controlled to be selectively cooled. While a model of the process may be employed, sensors, such as thermal sensors, thermal cameras, passive infrared sensors, optical camera with thermally responsive coating on the heatsink, or the like, may be used to monitor surface temperatures of the heatsink, and adaptively supply coolant as appropriate. Sensors may also be used to detect surface contamination of the heatsink, and a need for removal of the contamination, which may be by fluid jet, entrained particles, mechanical debris removal, etc.


The fluid flow over the heatsink surface can also cause acoustic resonance, which in the case of a heatsink having a fractal geometry, can be, in the aggregate, a broadband resonance. The flow can be pulsatile, with pulses causing inertial transfer of energy to the debris on the surface, resulting in separation from the underlying heat exchange surface. The flow can also cause stress and strain on the debris coating on the surface, causing separation along the surface plane. In some, the time varying flow can effectively remove the accumulated surface debris. A static flow in some cases could also reduce accumulation, but it is noted that the static flow is presumed to be associated with the accumulation conditions, and maintenance of sufficient continuous flow conditions to remove accumulation may consume excess energy, noise, and abrasion of the heat exchange surfaces.


Liquid heatsinks typically provide for a flow of liquid within a tube or channel or confined space. (In some cases, a spray of a non-volatile fluid over an open heat transfer surface is provided, similar to a machining process). As a result, a relatively large body of heat transfer material is provided with channels provided therein. In such a design, the cross-section area of the channels is relatively constant in the aggregate as the fluid travels through the branched channels. As a result, the linear velocity of the fluid flow will be constant. However, when one considers the logistics of a typical design, the flow channels are either planar or the design is radially symmetric.


In a planar configuration, a base of the heatsink interfaces with the heat source, and the fluid flows through the structure above the heat source to withdraw heat. See, Escher, W., B. Michel, and D. Poulikakos. “Efficiency of optimized bifurcating tree-like and parallel microchannel networks in the cooling of electronics.” International Journal of Heat and Mass Transfer 52.5 (2009): 1421-1430; Wang et al., “Flow and Thermal Characteristics of Offset Branching Network,” 12 Aug. 2009, International Journal of Thermal Science, Vol. 49, Pages 272-280; Yongping, Chen, et al. “Characteristics of Heat and Fluid Flow in Fractal Tree-like Channel Heat Sink [J].” Acta Aeronautica Et Astronautica Sinica 3 (2010): 008; Xu, Peng, et al. “Thermal characteristics of tree-shaped microchannel nets with/without loops.” International Journal of Thermal Sciences 48.11 (2009): 2139-2147; Liu, Shutian, Yongcun Zhang, and Peng Liu. “Heat transfer and pressure drop in fractal microchannel heat sink for cooling of electronic chips.” Heat and Mass Transfer 44.2 (2007): 221-227; Alharbi, Ali Y., Deborah V. Pence, and Rebecca N. Cullion. “Thermal characteristics of microscale fractal-like branching channels.” Journal of Heat Transfer 126.5 (2004): 744-752; Hong, F. J., et al. “Conjugate heat transfer in fractal-shaped microchannel network heat sink for integrated microelectronic cooling application.” International Journal of Heat and Mass Transfer 50.25 (2007): 4986-4998; Lee, Yong-Jiun, Poh-Seng Lee, and Siaw-Kiang Chou. ““Enhanced microchannel heat sinks using oblique fins.” ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability, American Society of Mechanical Engineers, 2009; Senn, S. M., and D. Poulikakos. “Laminar mixing, heat transfer and pressure drop in tree-like microchannel nets and their application for thermal management in polymer electrolyte fuel cells.” Journal of Power Sources 130.1 (2004): 178-191; Xiangqi, Wang. “New approaches to micro-electronic component cooling.” PhD diss., 2007 (National University of Singapore); U.S. Pat. Nos. 6,688,381; 6,333,852; 7,256,751; 2008037927. The temperature gradient within the heatsink having a planar flow plane would generally be decreasing with distance away from the interface, with the bulk material in and near the fluid flow plane largely isothermal.


In a radially symmetric arrangement, typically a constant cross section branched solid heatsink (e.g., extruded), see e.g., U.S. Pat. Nos. 4,715,438; 8,295,046; 2,535,721; 20080080137; 20090050293, may be placed within a shell or confinement, and a contained fluid permitted to contact the exposed surfaces. In this case, the fluid path is not highly constrained, and the operating temperature may be unstable, for example due to nearly adiabatic movement of fluid masses as a result of density and viscosity differences of the heated fluid. An extruded heatsink is generally a suboptimal shape, since the more distal portions of the structure a constant higher surface by lower thermal gradient. Indeed, due to possible adiabatic movement of hot fluid, in some cases the fluid can heat portions of the heatsink.


A “structurally complex” heatsink is provided in US 20090321045, but without branching networks and without optimized regional heterogeneity.


In a closed, vacuum or filtered system, typically no accumulation of dust, debris or precipitate on the heat exchanger surface occurs.


The techniques discussed above may be classified in five schemes: prevention of deposition; mechanical removal of deposition; thermal degradation of typically organic material; shock waves or vibrations to disrupt surface layer debris; and dynamic configuration.


Most heatsinks are designed using a linear or exponential relationship of the heat transfer and dissipating elements. A known geometry which has not generally been employed is fractal geometry. Some fractals are random fractals, which are also termed chaotic or Brownian fractals and include random noise components. In deterministic fractal geometry, a self-similar structure results from the repetition of a design or motif (or “generator”) using a recursive algorithm, on a series of different size scales. As a result, certain types of fractal images or structures appear to have self-similarity over a broad range of scales. On the other hand, no two ranges within the design are identical.


A fractal is defined as “a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole.” Mandelbrot, B. B. (1982). That is, there is a recursive algorithm which describes the structure. The Fractal Geometry of Nature. W.H. Freeman and Company. ISBN 0-7167-1186-9. This property is termed “self-similarity.” For a more detailed discussion of fractals, see the Wikipedia article thereon at en.wikipedia.org/wiki/Fractal. Exemplary images of well-known fractal designs can also be viewed on the Wikipedia page. Due to the fact that fractals involve largely self-repeating patterns, each of which serves to increase the surface area in three-dimensional fractals (perimeter in two-dimensional fractals), three dimensional fractals in theory are characterized by infinite surface area (and two-dimensional fractals are characterized by infinite perimeter). In practical implementations, the scale of the smallest features, which remain true to the generating algorithm, may be 3-25 iterations of the algorithm. Less than three recursions, and the fractal nature is not apparent, while present manufacturing technologies limit the manufacture of objects with a large range of feature scales.


An “approximately” fractal structure is one that, while a true fractal is a result of infinite number of iterations leading sometimes to infinite length of the border (such as Koch snowflake), in reality, any manufactured fractal will be a result of finite number of iterations in the fractal algorithm: 2 or 3, but rarely more than 5 or 6. The approximate fractal design may display various symmetries, and typically has a branched architecture with a tapering cross section from the heat source to the periphery.


Fractal theory is related to chaos theory. See, en.wikipedia.org/wiki/Chaos_theory. See, Sui, Y., Teo, C. J., Lee, P. S., Chew, Y. T., & Shu, C. (2010). Fluid flow and heat transfer in wavy microchannels. International Journal of Heat and Mass Transfer, 53(13), 2760-2772; Garibaldi, Dott Ing Pietro. Single-phase natural circulation loops: effects of geometry and heat sink temperature on dynamic behavior and stability. Diss. Ph. D. Thesis, 2008; Fichera, A., and A. Pagano. “Modelling and control of rectangular natural circulation loops.” International journal of heat and mass transfer 46.13 (2003): 2425-2444; Fichera, Alberto, et al. “A modeling strategy for rectangular thermal convection loops.” World Congress. Vol. 15. No. 1. 2002; Crane, Jackson T. Radial parallel plate flow with mechanical agitation. Diss. Massachusetts Institute of Technology, 2013.


This fractal nature is useful in a heatsink because the rate at which heat is transferred from a surface, either through convection or through radiation, is typically related to, and increasing with, the surface area. Of course, due to limitations in the technology used to build these heatsinks, engineering compromise is expected. However a feature of an embodiment of the designs proposed herein is that vortices induced by fluid flow over a heat transfer surface will be chaotically distributed over various elements of the surface, thus disrupting the stagnant surface boundary layer and increasing the effective surface area available for heat transfer, while avoiding acoustic resonance which may be apparent from a regular array of structures which produce vortices and turbulence.


Further, a large physical surface area to volume ratio, which is generally useful in heatsink design, can still be obtained using the fractal model. In addition, fractal structures provide a plurality of concave regions or cavities, providing pockets of separated flow which can generate self-sustaining oscillations and acoustic resonance. These pockets serve to reduce the acoustic resonance in turbulent flowing fluid (as compared to flat or Euclidian surfaces), thus allowing for more effective heat transfer between the fractal structure and the surrounding fluid, thereby making the fractal structure ideal for a heatsink.


U.S. Pat. No. 7,256,751 (Cohen), discusses fractal antennas. In the background of this patent, Cohen discusses Kraus' research, noting that Euclidian antennas with low area (and therefore low perimeter) exhibit very low radiation resistance and are thus inefficient. Cohen notes that the advantages of fractal antennas, over traditional antennas with Euclidian geometries, is that they can maintain the small area, while having a larger perimeter, allowing for a higher radiation resistance. Also, Cohen's fractal antenna features non-harmonic resonance frequencies, good bandwidth, high efficiency, and an acceptable standing wave ratio.


In the instant invention, this same wave theory may be applied to fractal heatsinks, especially with respect to the interaction of the heat transfer fluid with the heatsink. Thus, while the heat conduction within a solid heatsink is typically not modeled as a wave (though modern thought applies phonon phenomena to graphene heat transport), the fluid surrounding the heating certainly is subject to wave phenomena, complex impedances, and indeed the chaotic nature of fluid eddies may interact with the chaotic surface configuration of the heatsink.


The efficiency of capturing electric waves in a fractal antenna, achieved by Cohen, in some cases can be translated into an efficiency transferring heat out of an object to be cooled in a fractal heatsink as described herein. See, Boris Yakobson, “Acoustic waves may cool microelectronics”, Nano Letters, ACS (2010). Some physics scholars have suggested that heat can be modeled as a set of phonons. Convection and thermal radiation can therefore be modeled as the movement of phonons. A phonon is a quasiparticle characterized by the quantization of the modes of lattice vibration of solid crystal structures. Any vibration by a single phonon is in the normal mode of classical mechanics, meaning that the lattice oscillates in the same frequency. Any other arbitrary lattice vibration can be considered a superposition of these elementary vibrations. Under the phonon model, heat travels in waves, with a wavelength on the order of 1 μm. In most materials, the phonons are incoherent, and, therefore, on macroscopic scales, the wave nature of heat transport is not apparent or exploitable.


The thermodynamic properties of a solid are directly related to its phonon structure. The entire set of all possible phonons combine in what is known as the phonon density of states which determines the heat capacity of a crystal. At absolute zero temperature (0 Kelvin or −273 Celsius), a crystal lattice lies in its ground state, and contains no phonons. A lattice at a non-zero temperature has an energy that is not constant, but fluctuates randomly about some mean value. These energy fluctuations are caused by random lattice vibrations, which can be viewed as a gas-like structure of phonons or thermal phonons. However, unlike the atoms which make up an ordinary gas, thermal phonons can be created and destroyed by random energy fluctuations. In the language of statistical mechanics this means that the chemical potential for adding a phonon is zero. For a more detailed description of phonon theory, see the Wikipedia article thereon available at en.wikipedia.org/wiki/Phonon.


In certain materials, such as graphene, phonon transport phenomena are apparent at macroscopic levels, which make phonon impedance measurable and useful. Thus, if a graphene sheet were formed to resonate at a particular phonon wavelength, the resonant energy would not be emitted. On the other hand, if the graphene sheet were configured using a fractal geometry, the phonon impedance would be well controlled over a broad range of wavelengths, with sharp resonances at none, leading to an efficient energy dissipation device.


One aspect of the technology therefore employs a thermally responsive technology, such as a memory metal or bimetal element actuator (which may be passive or active) (see en.wikipedia.org/wiki/Bimetallic_strip;


www.emsclad.com/fileadmin/Data/Divisions/EMS/Bimetal_Desingers_Guide.pdf), or other active or passive element, to change the configuration of the heatsink under various conditions. It is noted that in an automotive radiator, a thermostat is provided to shunt flow around the radiator when the engine is cool. This is distinguished herein, in various alternate ways. For example, a variable geometry heatsink according to the present technology may have an external surface exposed to an unconstrained heat transfer medium, such as air. See, Baurle, R. A., and D. R. Eklund. “Analysis of dual-mode hydrocarbon scramjet operation at Mach 4-6.5.” Journal of Propulsion and Power 18.5 (2002): 990-1002; Cockrell Jr, Charles E. “Technology Roadmap for Dual-Mode Scramjet Propulsion to Support Space-Access Vision Vehicle Development.” (2002); Boudreau, Albert H. “Hypersonic air-breathing propulsion efforts in the air force research laboratory.” AIAA 3255.1 (2005): 10; Kay, Ira W., W. T. Peschke, and R. N. Guile. “Hydrocarbon-fueled scramjet combustor investigation.” Journal of Propulsion and Power 8.2 (1992): 507-512; Jackson, K., et al. “Calibration of a newly developed direct-connect high-enthalpy supersonic combustion research facility.” AIAA paper (1998): 98-1510; Donbar, J., et al. “Post-test analysis of flush-wall fuel injection experiments in a scramjet”, AIAA Paper 3197 (2001): 2001; Gruber, Mark, et al. “Newly developed direct-connect high-enthalpy supersonic combustion research facility.” Journal of Propulsion and Power 17.6 (2001): 1296-1304; Andrews, Earl H. “Scramjet development and testing in the United States”, AIAA paper 1927 (2001): 2001; Palac, Donald T., Charles J. Trefny, and Joseph M. Roche, Performance Evaluation of the NASA GTX RBCC Flowpath, NASA, Glenn Research Center, 2001; US 20030155110; 20040187861; 20050245659; 20090016019; 20090321047; 20100089549; 20100236236, 20100252648; 20110174462; 20120293952; 20140360699; 4,654,092; 4,931,626; 5,371,753; 5,483,098; 5,548,481; 5,510,598; 6,128,188; 6,330,157; 6,689,486; 7,080,989; 7,778,029; 8,228,671; 8,385,066; JP 03-070162; JP 04-291750; JP 61-098565; JP 63-006915; WO 99/04429.


For example, in one embodiment, a thermodynamic model of the system, encompassing at least the heat source, the heat sink, the thermal transfer medium, and a device to induce thermal transfer medium flow, determines, under each set of conditions, the optimal configuration. For example, at low loads, the heat sink may operate passively, without flows induced by an active device to induce flow in the thermal transfer medium. In such a case, radiative heat transfer may be important, as well as thermally-induced convection. Under high loads, the active device to induce flow in the thermal transfer medium may induce maximum flows, and the heatsink configured for minimal turbulence with laminar flows where possible. In intermediate states, the system may assume a configuration which is optimized according to a cost function, which may involve the effect of heat/temperature on the heat source, energy consumed by the active device to induce flow in the thermal transfer medium, noise resulting from induced flow, etc. This allows efficient use of an “oversized” heatsink, since the heatsink characteristics are variably controlled. In these intermediate states of configuration, efficiency may be improved by allowing the heatsink to assume a variable configuration. Since the optimum heatsink configuration depends on, e.g., ambient temperature, humidity, atmospheric pressure, heat load, air flow rate, gravitational vector with respect to the heatsink, etc., the model should explore the range of combinations of the device to induce thermal transfer medium flow, the variable geometry, and to a lesser extent, control over the heat source. An example of the later is that for a given power dissipation, it may be more efficient to have thermal cycles reaching a maximum temperature than a constant temperature. During the cycles, the geometry may change. Indeed, if the system is not in a static steady state, the geometry may optimally change during or in anticipation of temperature changes. An example here is that as the heat source produces a heat peak, the heat diffuses over time through a solid heatsink material. There is a lag, and so the temperature of the heat source is different that the temperature of the heatsink, and the heatsink itself has variations in temperature at different positions. Typically, there is a single actuator which controls the entire heatsink, though this is not a limitation, and there may be multiple actuators to control different parts of the heatsink independently or semi-independently. The device to induce thermal transfer medium flow may have a variable flow rate, and also may have multiple independently controlled portions. However, as the heat begins to peak, the device to induce thermal transfer medium flow may also increase activity. This, in turn, can reduce the temperature of various portions of the heatsink, depending on the relationship of the device to induce thermal transfer medium flow and the variable geometry heatsink. Thus, the entire system may operate in a phased cyclic or dynamic manner, with asynchronous maxima and minima of the various functions.


In practice, a heatsink may be provided for a microprocessor having multiple cores. Under low load, the device to induce thermal transfer medium flow may be off, or at a low flow rate. The heatsink in this case optimally has the greatest spread for radiative and passive convective cooling. In case of a higher load, the processor itself may have the option of distributing the load over multiple cores, and spatially spreading the heat dissipation, or concentrating the load in a single core which may get hot. Since temperature differentials increase heat flow, the concentrated heat source may selectively transfer heat to sub-portion of the heatsink, and thus that portion may be able to efficiently shed the heat under the passive or low energy cost state. As the load further increases, the processor as a whole typically becomes thermally limited, and as a result, the entire die or processor complex is treated as a unitary source, spreading heat to all elements of the heatsink. Initially, the temperature is low, and the system would seek to operate in the most efficient state of the device to induce thermal transfer medium flow. This may include laminar flow over the heat dissipating elements of the heatsink. In the next regime, the heat increases, and as a result, the device to induce thermal transfer medium flow must increase its flow rate. At this point, a compromise may be made, between minimum energy cost (and thus a minimization of the energy to drive the device to induce thermal transfer medium flow), and effective heat dissipation. In this regime, the heatsink may be configured to induce turbulence in the medium flow around it. This, in turn, increases the resistance to flow, but reduces the boundary layer effect. Advantageously, in this regime, a fractal physical relationship of element of the heatsink may act to reduce peak acoustic emission with respect to frequency. Likewise, by avoiding sharp acoustic resonances, there may be a more effective transfer of heat with lower losses as acoustic energy. Further, the interaction of the elements of the heatsink may be further optimized to achieve higher efficiency. Finally, at maximum heat load, presumably at the limit of the heatsink, the system enters a maximum heat dissipation mode. For example, this mode is one traditionally analyzed as the maximum capacity of the heatsink and device to induce thermal transfer medium flow system, and as such would typically assume or nearly assume a traditional optimized geometry. However, both due to the fact that the system may include fractal geometry elements for other regimes of operation, and because these may be exploited to gain efficiencies over traditional symmetric and regular geometries, the maximum heart dissipation configuration may be somewhat different than a parallel plate heatsink, for example. Note that not all regions of the heatsink need to operate within the same regime at the same time, and even under a steady state heat load, may vary cyclically, randomly or chaotically (over a relevant timescale). In this case, the term “chaotically” is intended to assume its technical meaning under chaos and fractal theory, and not adopt a lay interpretation. On the other hand, “randomly” is intended to encompass true randomness, pseudorandom variations, and deterministic changes that over the relevant timescale have statistical characteristics that model randomness within an acceptable margin of error, the acceptability relating to achieving a suitable regime of operation. For example, because some attributes of turbulent flow are random, even though they are more technically chaotic, the random features may be used to advantage. For example, the device to induce thermal transfer medium flow may be subject to a tinsel type flow disruptor, which in some regimes appears to be a random variation in air flow speed, direction, vortex, etc. While this may increase noise, it also can create persistent disruptions in boundary layers, even on smooth and regular heatsink elements. That is, either the heatsink geometry and the device to induce thermal transfer medium flow, or both, may have fractal or chaotic tendencies.


According to one embodiment, the geometry involves branching elements, to increase surface area of the elements. An actuator may be used to alter angles or even to open and close branches. For example, a heatsink formed of a shape memory alloy (SMA) (such as Nitinol), may be produced by an additive manufacturing process, e.g., a 3D printer or 2.5D printer. Such a device may be thermally processed to have characteristic shape changes at temperature transitions, and indeed, the composition of the alloy may be controlled during fabrication to produce a variety of transition temperatures. Therefore, a 3D heatsink may be provided which inherently changes shape through a series of transitions as the temperature is increased and decreased. In this embodiment, the changes tend to be monotonic with increasing temperature, though by engineering the angles and physical configuration, the actual physical shape and heat dissipation properties may assume a non-monotonic function. Note that in this embodiment, it is generally preferred that only the branch points are formed of SMA, and the bulk be formed of a high thermal conductivity material, such as copper and/or silver, or to a lesser extent, aluminum.


According to another embodiment, actuators, which may be SMA, solenoids, or otherwise, are controlled to change the position of repositionable elements. In this case, independent control can be exercised which is not dependent on temperature, but typically, the number of controlled elements is more constrained due to manufacturing and control feasibility issues. The actuators may alter a spacing, angle, position, or engagement of heat sink elements. When a set of regularly spaced and sized elements are controlled according to a constant or spectrally-defined distribution, this can be controlled to operate within highly predictable regimes. On the other hand, if the elements are not regularly sized and spaced, or are controlled in irregular manner, the resulting fluid dynamics will likely require a statistical flow (e.g., Monte Carlo) analysis, rather than a simplifying presumption of static function. This will especially be the case if the thermal time-constants of the heat flow from the heat source, to the heatsink, and then to the heat transfer fluid, are near or within the range of time-constants of the turbulence or chaotically varying flows of the heat transfer fluid. Typically, the thermal heat transfer time-constants are longer than the turbulent or chaotic variation time-constants, and therefore this meeting this presumption requires either generating low frequency turbulent or chaotic variations of the heat transfer fluid medium, or making the heatsink (and perhaps other elements) with short time-constants, such as using short/thin/small elements, using phonon transport phenomena, or other means.


In another embodiment, the time-constant(s) of the thermal transfer medium flow is much shorter than the relevant thermal time-constants of the heat source and heatsink, and the purpose of the turbulent or chaotic disruption is to alter the convective heat transfer characteristics of the heatsink, such as reducing the boundary layers or making them dynamically changing over time and space.


Another aspect of the technology involves planar heatsinks, such as used in antenna designs. In this case, the present technology may have corresponding effect to that discussed above, especially where a device to induce thermal transfer medium flow is provided to cool a generally planar heatsink system. It is noted that any heatsink in actuality must be considered in three dimensions, and the fact that it may have expanses of a thin uniform thickness layer does not defeat use of three-dimensional analysis to understand its functioning and optimization. In the case of a printed circuit board-type heatsink, a variable geometry is typically infeasible. Similarly, there a planar heatsink structure serves a secondary purpose, such as an antenna, the physical configuration is constrained by this other purpose. However, the device to induce thermal transfer medium flow is typically not so constrained, and therefore provides a controllable variable. Further, in many cases, the requirement for “thinness” of a 2D heatsink does not preclude texturing on an exposed surface, which itself may have a fractal variation.


In some cases, a variable geometry may be achieved by altering flow characteristics of thermal transfer medium flow, and for example, a deflector may be controlled to change a direction of impingement. Advantageously, a surface of a heatsink can have anisotropic features, which respond differently to different flow direction. Thus, the efficiency of the fan can be optimized other than by fan speed alone, to provide another control variable. This may have particular importance where the fan itself is highly constrained, and cannot simply be made oversized, or where energy efficiency is an overriding concern.


The technology is not limited to cooling gas fluids, and may encompass liquids. Typically, cooling liquids are recycled, and therefore operate within a physically closed system. Use of fractal branching fluid networks is known, but various principles discussed above, such as variable geometry, variations in flow rate over different regimes of operation, different directions of flow over surfaces, and intentional induction of chaotic flow patterns may be adopted top advantage.


Many fractal designs are characterized by concave regions or cavities. See, for example, FIGS. 2 and 3. While sets of concavities may be useful in improving aerodynamics and fluid dynamics to increase turbulence, if they are disposed in a regular array, they will likely produce an acoustic resonance, and may have peaks in a fluid impedance function. On the other hand, the multiscale nature of a fractal geometric design will allow the system to benefit from the concavities, while avoiding a narrowly tuned system.


The present technology proposes, according to one embodiment, a fractal-shaped heatsink for the purpose of dissipating heat. Benefits of a fractal heatsink, over a traditional heatsink having a Euclidian geometry may include: (1) the fractal heatsink has a greater surface area, allowing for more exposure of the hot device to the surrounding air or liquid and faster dissipation of heat; and (2) due to the plethora of concave structures or cavities in fractal structures, the fractal heatsink is better able to take advantage of turbulent flow mechanics than a traditional heatsink, resulting in heat entering and exiting the heatsink more quickly (3) acoustic properties, especially in forced convection systems.


The technology provides, according to various embodiments, a heatsink to cool an object through conduction (diffusion), convection and radiation. See, en.wikipedia.org/wiki/Heat_transfer.


With respect to conduction, the present technology observes that when heat energy is conducted by phonon transport, wave phenomena are pertinent, and thus a fractal branching network can advantageously be used to reduce reflections at discontinuities and decrease complex impedance. Further, a fractal geometry may assist in optimizing the cross-section area and surface area (for radiation and convective transfer) under given constraints.


With respect to convection, a fractal geometry may provide acoustic benefits, by distributing acoustic energy across a wide band, and thus ensuring “whiteness” of a noise spectrum and absence of sharp resonances. Further, a fractal geometry may provide high or maximum surface area, and produce turbulent cooling medium flows to reduce boundary later effects. Depending on the constraints imposed, a fractal geometry may also provide chimneys or defined flow paths through a network of elements, and thus control an impedance of coolant flow, though generally, a fractal branching network will produce higher flow impedance than corresponding smooth regular surfaces. In some cases, a textured surface or configuration (as might be achieved by a fractal geometry) can actually increase laminar flow some distance away from the surface, by creating a controlled disturbed intermediate layer.


With respect to radiation, a fractal geometry can avoid parallel surfaces which can limit radiative dissipation. For example, a parallel plate heatsink will radiatively transfer heat between the plates, and thus limit the effectiveness of radiation from the bulk of the surfaces as an effective dissipation mechanism. On the other hand, irregular angles and surface branches may help to avoid reabsorption of thermal radiation by the elements of the heatsink, and thus enhance radiative dissipation.


For the smallest heatsink elements, on the order of 10-100 nm, the focus of the heat transfer may be on radiation rather than convection. Electron emission and ionization may also be relevant. Larger heatsink elements, approximately >1 mm in size, will generally rely on convection as the primary form of heat transfer. In a fractal geometry system, elements spanning these regimes may be provided in a single system.


In one embodiment, the heatsink comprises a heat exchange device with a plurality of heat exchange elements having a fractal variation therebetween. A heat transfer fluid, such as air, water, or another gas or liquid, is induced to flow through the heat exchange device. The heat transfer fluid has turbulent portions. The fractal variation in the plurality of heat exchange elements substantially reduces the narrow band acoustic resonance resulting from fluid flow around the heatsink elements as compared to a heatsink having a linear or Euclidian geometric variation between the plurality heat exchange elements. The turbulent flow also disturbs the stagnant surface boundary layer, leading to more efficient heat transfer, but generally reduced flow rates for the same motive force. Note that, since turbulence dissipates energy, under some conditions, the heat added to the system by inducing the heat transfer fluid flow can be a significant factor.


When a heat transfer fluid (air, gas or liquid) is induced to flow over a surface, there may be turbulence in the fluid. The fractal shape of the heatsink would generally provide a range of physical size parameters, and thus for any given flow rate, would typically induce turbulent flow over some portion of a fractal geometry array. Notably, because the flow for a given heatsink may vary over a range of speeds, and the temperature and viscosity of the fluid varies over a range of conditions, a fractal geometry facilitates optimization over a range of parameters.


In fluid dynamics, turbulence or turbulent flow is a flow regime characterized by chaotic property changes. This includes low momentum diffusion, high momentum convection, and rapid variation of pressure and flow velocity in space and time. See, en.wikipedia.org/wiki/Turbulence; www.scholarpedia.org/article/Turbulence. Flow in which the kinetic energy dies out due to the action of fluid molecular viscosity is called laminar flow. While there is no theorem relating the non-dimensional Reynolds number (Re) to turbulence, flows at Reynolds numbers larger than 5000 are typically (but not necessarily) turbulent, while those at low Reynolds numbers usually remain laminar. In Poiseuille flow, for example, turbulence can first be sustained if the Reynolds number is larger than a critical value of about 2040; moreover, the turbulence is generally interspersed with laminar flow until a larger Reynolds number of about 4000. In turbulent flow, unsteady vortices appear on many scales and interact with each other. Drag due to boundary layer skin friction increases. The structure and location of boundary layer separation often changes, sometimes resulting in a reduction of overall drag. Although laminar-turbulent transition is not governed by Reynolds number, the same transition occurs if the size of the object is gradually increased, or the viscosity of the fluid is decreased, or if the density of the fluid is increased. Turbulence is characterized by the following features: Irregularity: Turbulent flows are always highly irregular. For this reason, turbulence problems are normally treated statistically rather than deterministically. Turbulent flow is chaotic. However, not all chaotic flows are turbulent. Diffusivity: The readily available supply of energy in turbulent flows tends to accelerate the homogenization (mixing) of fluid mixtures. The characteristic which is responsible for the enhanced mixing and increased rates of mass, momentum and energy transports in a flow is called “diffusivity”. Rotationality: Turbulent flows have non-zero vorticity and are characterized by a strong three-dimensional vortex generation mechanism known as vortex stretching. In fluid dynamics, they are essentially vortices subjected to stretching associated with a corresponding increase of the component of vorticity in the stretching direction-due to the conservation of angular momentum. In general, the stretching mechanism implies thinning of the vortices in the direction perpendicular to the stretching direction due to volume conservation of fluid elements. As a result, the radial length scale of the vortices decreases and the larger flow structures break down into smaller structures. The process continues until the small-scale structures are small enough that their kinetic energy can be transformed by the fluid's molecular viscosity into heat, i.e., atomic scale random motion. This is why turbulence is always rotational and three dimensional. Dissipation: To sustain turbulent flow, a persistent source of energy supply is required because turbulence dissipates rapidly as the kinetic energy is converted into internal energy by viscous shear stress. It therefore becomes apparent that, because turbulent flow is chaotic, an optimization of heatsink geometry responsive to chaotic features can achieve efficiencies over a range of operating regimes, and at particular operating regimes.


Turbulence causes the formation of eddies of many different length scales. Most of the kinetic energy of the turbulent motion is contained in the large-scale structures. The energy “cascades” from these large-scale structures to smaller scale structures by an inertial and essentially inviscid mechanism. This process continues, creating smaller and smaller structures which produces a hierarchy of eddies. Eventually this process creates structures that are small enough that molecular diffusion becomes important and viscous dissipation of energy finally takes place. The scale at which this happens is the Kolmogorov length scale.


Via this energy cascade, turbulent flow can be realized as a superposition of a spectrum of flow velocity fluctuations and eddies upon a mean flow. The eddies are loosely defined as coherent patterns of flow velocity, vorticity and pressure. Turbulent flows may be viewed as made of an entire hierarchy of eddies over a wide range of length scales and the hierarchy can be described by the energy spectrum that measures the energy in flow velocity fluctuations for each length scale (wavenumber). The scales in the energy cascade are generally uncontrollable and highly non-symmetric. Nevertheless, based on these length scales these eddies can be divided into three categories.


Integral length scales: Largest scales in the energy spectrum. These eddies obtain energy from the mean flow and also from each other. Thus, these are the energy production eddies which contain most of the energy. They have the large flow velocity fluctuation and are low in frequency. Integral scales are highly anisotropic. The maximum length of these scales is constrained by the characteristic length of the apparatus.


Kolmogorov length scales: Smallest scales in the spectrum that form the viscous sub-layer range. In this range, the energy input from nonlinear interactions and the energy drain from viscous dissipation are in exact balance. The small scales have high frequency, causing turbulence to be locally isotropic and homogeneous.


Taylor microscales: The intermediate scales between the largest and the smallest scales which make the inertial subrange. Taylor microscales are not dissipative scale but pass down the energy from the largest to the smallest. Taylor microscales play a dominant role in energy and momentum transfer in the wavenumber space.


The Russian mathematician Andrey Kolmogorov proposed the first statistical theory of turbulence, based on the aforementioned notion of the energy cascade (an idea originally introduced by Richardson) and the concept of self-similarity (e.g., fractal relationships). For very high Reynolds numbers, the small-scale turbulent motions are statistically isotropic (i.e. no preferential spatial direction could be discerned). In general, the large scales of a flow are not isotropic, since they are determined by the particular geometrical features of the boundaries (the size characterizing the large scales will be denoted as L). Thus, Kolmogorov introduced a second hypothesis: for very high Reynolds numbers the statistics of small scales are universally and uniquely determined by the kinematic viscosity (ν) and the rate of energy dissipation (s). With only these two parameters, the unique length (Kolmogorov length scale) that can be formed by dimensional analysis is






η
=



(


ν
3

ε

)


1
/
4


.





A turbulent flow is characterized by a hierarchy of scales through which the energy cascade takes place. Dissipation of kinetic energy takes place at scales of the order of Kolmogorov length η, while the input of energy into the cascade comes from the decay of the large scales, of order L. These two scales at the extremes of the cascade can differ by several orders of magnitude at high Reynolds numbers. In between there is a range of scales (each one with its own characteristic length r) that has formed at the expense of the energy of the large ones. These scales are very large compared with the Kolmogorov length, but still very small compared with the large scale of the flow (i.e., η<<r<<L). Since eddies in this range are much larger than the dissipative eddies that exist at Kolmogorov scales, kinetic energy is essentially not dissipated in this range, and it is merely transferred to smaller scales until viscous effects become important as the order of the Kolmogorov scale is approached. Within this range inertial effects are still much larger than viscous effects, and it is possible to assume that viscosity does not play a role in their internal dynamics (for this reason this range is called “inertial range”). Kolmogorov theory is at present under revision. The theory implicitly assumes that the turbulence is statistically self-similar at different scales. This essentially means that the statistics are scale-invariant in the inertial range. However, there is evidence that turbulent flows deviate from this idealized behavior. See, Davidson, P. A. (2004). Turbulence: An Introduction for Scientists and Engineers. Oxford University Press. ISBN 978-0-19-852949-1; scholarpedia.org; G. Falkovich, Scholarpedia, “Cascade and scaling”; Jin, Y.; Uth, M. F.; Kuznetsov, A. V.; Herwig, H. (2 Feb. 2015). “Numerical investigation of the possibility of macroscopic turbulence in porous media: a direct numerical simulation study”. Journal of Fluid Mechanics 766: 76-103. Bibcode:2015JFM . . . 766 . . . 76J. doi:10.1017/jfm.2015.9; G Falkovich and K. R. Sreenivasan. Lessons from hydrodynamic turbulence, Physics Today, vol. 59, no. 4, pages 43-49 (April 2006); J. Cardy, G. Falkovich and K. Gawedzki (2008) Non-equilibrium statistical mechanics and turbulence. Cambridge University Press; P. A. Durbin and B. A. Pettersson Reif. Statistical Theory and Modeling for Turbulent Flows. Johns Wiley & Sons, 2001; T. Bohr, M. H. Jensen, G. Paladin and A. Vulpiani. Dynamical Systems Approach to Turbulence, Cambridge University Press, 1998; J. M. McDonough (2007). Introductory Lectures on Turbulence—Physics, Mathematics, and Modeling; Kolmogorov, Andrey Nikolaevich (1941). “The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers”. Proceedings of the USSR Academy of Sciences (in Russian) 30: 299-303, translated into English by V. Levin: Kolmogorov, Andrey Nikolaevich (Jul. 8, 1991). Proceedings of the Royal Society A 434 (1991): 9-13. Bibcode:1991RSPSA.434 . . . 9K. doi:10.1098/rspa.1991.0075; Kolmogorov, Andrey Nikolaevich (1941). “Dissipation of Energy in the Locally Isotropic Turbulence”. Proceedings of the USSR Academy of Sciences (in Russian) 32: 16-18, translated into English by Kolmogorov, Andrey Nikolaevich (Jul. 8, 1991). Proceedings of the Royal Society A 434 (1980): 15-17. Bibcode:1991RSPSA.434 . . . 15K. doi:10.1098/rspa.1991.0076; G. K. Batchelor, The theory of homogeneous turbulence. Cambridge University Press, 1953.


Therefore, the efficiency of heat transfer may be increased as compared to a heat exchange device having a linear or Euclidian geometric variation between several heat exchange elements, at least over certain regimes of operation.


The heat exchange device may include a highly conductive substance whose heat conductivity exceeds 850 W/(m·K). Examples of such superconductors include graphene, diamond, and diamond-like coatings. Alternatively, the heat exchange device may include carbon nanotubes. At such high thermal conductivities, phonon heat transport may be at play.


A heatsink according to the present technology may be manufactured, for example, by additive manufacturing (e.g., 3D print), casting, or subtractive manufacturing (machining). Further, a cast design may be produced by a lost wax or lost foam design from a 3D printed form or template. Thus, in practice, a design is generated on a computer-aided design (CAD) system, which may, for example, employ algorithms to optimize the shape according to various criteria, such as size, weight, heat load, air flow, other convective heat transfer parameters, infrared radiation recapture, and other criteria. The design is then converted, by a computer assisted manufacturing (CAM) system, such as an additive manufacturing “3D” printer or 2.5D printer (layers), into a form. The form, if produced using a metal sintering or ceramic process, may itself be a heatsink, though more typically the form is a polymer, which can then be used to create a mold. The mold, in turn, can be used to create multiple templates, which can be used in a casting process. As a result, relatively complex mechanical designs can be replicated in volume. In some cases, when the heatsink is molded, the metal may be heterogeneous, resulting in a range of properties over different regions of the mold.


The design, in some cases, will result in a fractal shape, which may have branches or multiple levels of branches, with multiple characteristic scales, which may have some symmetries or repetitions, or be absent symmetries and repetitions. A design which lacks symmetries or repetitions, and is self-similar at various scales, is considered “fractal”. A design which adopts some of these characteristics, or functionally emulates some of these characteristics, is considered “fractal-like”. A design representing an array of uniform, repeating elements of the same scale is generally considered non-fractal. In some cases, a branching array having multi-way symmetry may in some cases be considered fractal-like. A multiscale fractal (i.e., with asymmetries within each scale range) with outwardly tapering branches will tend to carry and dissipate heat further from the heat source than a symmetric design, since by nature the larger cross section branches will carry hear further than their smaller, higher surface area per mass cousin branches, and the asymmetry will tend to assure that some branches indeed have larger cross sections; however, this is not the only effect to be obtained. Since the fractal is typically generated by an iterative function system (IFS) responsive to its local environment, the fractal may be optimized by a steering function to steer heat flow to areas with highest convective heat loss, while avoiding heat flow toward branches which do not efficiently shed heat. Similarly, in a vacuum heatsink emitter, the heat loss tends to be radiative, and the optimization can address maximization of net radiative heat loss within the constrained environment.


The present technology, in an ambient atmosphere, may be subject to dust or fiber buildup due to particulates in the flow of cooling air. Filtering of the air to completely remove such particulates is inefficient, since the required filter would require significant energy to operate, and that energy both increases the heat load of the aggregate system to be shed, increases power consumption, and presents a compromise with respect to use of the same energy of more globally, system manufacturing and operating cost, that could be reallocated to a net higher efficiency, such as a heatsink with less susceptibility to dust or fiber deposition and a higher cooling air flow rate. However, the dust deposition may be modelled, and included within a design equation, e.g., an iterative function system, for generating an optimal heatsink which may have resulting fractal or fractal-like features.


As discussed herein, there are a number of strategies available to remove dust that has accumulated on the heatsink surfaces, and the system, including the heat source, heatsink, dust, air flow (e.g., fan) system, as well as the dust abatement system, may be together modelled. This model will typically have a time variance, and the operating point of the aggregate system may change over time, especially if the dust abatement system operates discontinuously. In such a system, the heat flow vectors within the heatsink may change over time in relative magnitude to each other, and the design system therefore typically models the system over its range of operation. In one embodiment, a fan controller (typically the only controllable part of the heatsink) may be controlled based not simply on a temperature and/or temperature rise rate of the heatsink, but also a convective and fluid dynamic model of the system, including measured or estimate dust, fiber, debris, etc. The fan controller may in some cases speed up the fan in an attempt to blow off dust, or create turbulence to disrupt dust, or to create velocity/pressure gradient dependent flow patterns around the heatsink to achieve efficient and/or optimal heat transfer. Maintaining low operating temperatures of the heat source and energy cost are not necessarily the only critical variables, and therefore in some cases, the fan will run at a fan speed which is energy-inefficient with respect to the lowest speed (lowest energy cost) that will achieve the desired cooling of the heat source.


The controller may also implement an acoustic/sonic model, especially where turbulent air flow is intentionally created, and the model may be used to ensure that acoustic emissions are not objectionable or outside of a predetermined or adaptive limit. See, U.S. Pat. No. 6,850,252. Likewise, in some cases, the sounds emitted by the heatsink system may be intentionally timed to external cues.


Various variations on this heatsink will be apparent to skilled persons in the art. For example, the heatsink could include a heat transfer surface that is connected to the heat exchange device and is designed to accept a solid to be cooled. Alternatively, there could be a connector that is designed to connect with a solid to be cooled in at least one point. In another embodiment, there are at least three connectors serving to keep the solid and the heatsink in a fixed position relative to one another. Various connectors will be apparent to persons skilled in the art. For example, the connector could be a point connector, a bus, a wire, a planar connector or a three-dimensional connector. In another embodiment, the heatsink has an aperture or void in the center thereof designed to accept a solid to be cooled. The heatsink may also be integral to the heat source, or attached by other means.


This heatsink is typically intended to be used to cool objects, and may be part of a passive or active system. Modern three-dimensional laser and liquid printers can create objects such as the heatsinks described herein with a resolution of features on the order of about 16 μm, making it feasible for those of skilled in the art to use such fabrication technologies to produce objects with a size below 25 cm. Alternatively, larger heatsinks, such as car radiators, can be manufactured in a traditional manner, designed with an architecture of elements having a fractal configuration. For example, a liquid-to-gas heat exchanger (radiator) may be provided in which segments of fluid flow conduit have a fractal relationship over three levels of recursion, i.e., paths with an average of at least two branches. Other fractal design concepts may be applied concurrently, as may be appropriate.


Yet another embodiment of the invention involves a method of cooling a solid by connecting the solid with a heatsink. The heatsink comprises a heat exchange device having a plurality of heat exchange elements having a fractal variation therebetween. A heat transfer fluid having turbulent portions is induced to flow with respect to the plurality of heat exchange elements. The fractal variation in the plurality of heat exchange elements serves to substantially reduce narrow band resonance as compared to a corresponding heat exchange device having a linear or Euclidean geometric variation between a plurality of heat exchange elements.


A preferred embodiment provides a surface of a solid heatsink, e.g., an internal or external surface, having fluid thermodynamical properties adapted to generate an asymmetric pattern of vortices over the surface over a range of fluid flow rates. For example, the range may comprise a range of natural convective fluid flow rates arising from use of the heatsink to cool a heat-emissive object. The range may also comprise a range of flow rates arising from a forced convective flow (e.g., a fan) over the heatsink.


The heatsink may cool an unconstrained or uncontained fluid, generally over an external surface of a heatsink, or a constrained or contained fluid, generally within an internal surface of a heatsink.


It is therefore an object of the present invention to provide a heatsink system comprising: a base structure configured to interface with a heat source; a heat exchange device configured to receive heat from the base structure, and emit the received heat from a heat exchange surface, into an external surrounding heat exchange medium, the heat exchange surface being subject to accumulation of particles; and a particle dislodging device configured to mechanically disrupt an accumulation of particles on the plurality of heat exchange elements.


It is also an object of the present invention to provide a method of heat transfer, comprising: providing a base structure configured to interface with a heat source; receiving heat from the base structure with a heat exchange device configured to emit the received heat from a heat exchange surface, into an external surrounding heat exchange medium; and reducing an accumulation of particles on the heat exchange surface with at least one of a particle degrading device and a particle dislodging device.


It is a further object of the present invention to provide a heatsink comprising: a base structure configured to interface with a heat source; a heat exchange device configured to receive heat from the base structure, and emit the received heat from a heat exchange surface, into an external surrounding heat exchange medium, the heat exchange surface being subject to accumulation of particles; and a particle degrading device configured to chemically degrade an accumulation of particles on the plurality of heat exchange elements.


It is a still further object of the present invention to provide a system comprising: a fractal heat exchange device comprising: a base structure configured to interface with a heat source; a plurality of heat exchange elements having approximately fractal geometry, the plurality of heat exchange elements attached to the base structure, configured to receive heat from the base structure and emit the heat into an external surrounding through radiation and convection in heat exchange medium; and a pyrolizer to pyrolize dust particles.


Another object of the present invention provides a method of heat transfer comprising providing a base structure configured to interface with a first heat source; receiving heat from the base structure with a fractal heat exchange device configured to emit the received heat from a plurality of heat exchange elements, into an external surrounding heat exchange medium; providing a second heat source distant from the first heat source, the second heat source used to heat dust particles in a vicinity of the first heat source; pyrolyzing dust particles using heat from the second heat source; and dissipating the heat used to pyrolyze dust particles.


A still further object of the present invention provides a fractal heat exchange device comprising: a base structure configured to interface with a heat source; a plurality of heat exchange elements having approximately fractal geometry, the a plurality of heat exchange elements attached to the base structure and configured to receive heat from the base structure and emit the heat into an external surrounding through radiation and convection in heat exchange medium; and a vibrator to vibrate at least a subset of the plurality of heat exchange elements to dislodge dust particles from heat exchange elements, wherein the base structure comprises vibration isolator to prevent vibrations from damaging the heat source. The vibrator may be one of a piezoelectric transducer and electromagnetic transducer. The vibration isolator may be one of a plastic thermal transfer medium, a non-shear transmissive solid and an active vibration suppression interface. The non-shear transmissive solid may be a copper wire bundle. The base structure may further comprise an anisotropic vibration transmissive mount to isolate vibrations from the heat source. The anisotropic vibration transmissive mount may comprise a piston in a cylinder.


Another object of the present invention provides a method of heat exchange comprising: providing a base structure configured to interface with a heat source; receiving heat from the base structure with a heat exchange device configured to emit the received heat from a plurality of heat exchange elements, into an external surrounding heat exchange medium; providing a source of vibration to vibrate the plurality of heat exchange elements; vibrating the plurality of heat exchange elements to dislodge dust particles therefrom; and dissipating vibrations before they reach the heat source.


It is also an object of the present invention to provide a method heat exchange comprising: providing a base structure configured to interface with a heat source; receiving heat from the base structure with a heat exchange device configured to emit the received heat from a plurality of heat exchange elements, into an external surrounding heat exchange medium; providing a time-varying flow of the heat exchange medium over the plurality of heat exchange elements; and dislodging dust particles accumulated on the plurality of heat exchange elements.


It is a still further object of the present invention to provide a fractal heat exchange device comprising: a base structure configured to interface with a heat source; a plurality of heat exchange elements having approximately fractal geometry, the a plurality of heat exchange elements attached to the base structure and being configured to receive heat from the base structure and emit the heat into an external surrounding through radiation and convection in heat exchange medium; an electrostatic charge generator; and an electrostatic discharge device, wherein the electrostatic charge generator is configured to induce static electricity on a surface of at least a portion of the plurality of heat exchange elements to repel dust particles from accumulating thereon.


It is another object of the present invention to provide a method of heat exchange comprising: providing a base structure configured to interface with a heat source; receiving heat from the base structure with a heat exchange device configured to emit the received heat from a plurality of heat exchange elements, into an external surrounding heat exchange medium; inducing a first static electric charge having a polarity on the surface of at least a portion of the a plurality of heat exchange elements; and inducing a second static electric charge on dust particles, the second static electric charge having the same polarity as the polarity of the first static electric charge.


Another object of the present invention is to provide a system comprising: a fractal heat exchange device, the heat exchange device further comprising: a base structure configured to interface with a heat source; a plurality of heat exchange elements having approximately fractal geometry, the plurality of heat exchange elements being attached to the base structure and being configured to receive heat from the base structure and emit the heat into an external surrounding heat transfer medium by radiation and convection; and at least one of a fan and a compressor, configured to induce a time-varying flow of the heat transfer medium over the plurality of heat exchange elements, wherein at least portions of the time varying flow of the heat transfer medium over the plurality of heat exchange elements are turbulent, having a turbulence pattern that changes over time.


The particle-dislodging device may comprise a vibrator configured to vibrate a plurality of heat exchange elements comprising the heat exchange surface. The particle-dislodging device may also comprise at least one of a piezoelectric transducer and an electromagnetic transducer. The particle-dislodging device may also comprise a rotating motor configured to induce a vibration in the plurality of heat exchange elements. The particle-dislodging device may also comprise a fan or pump configured to induce a time-varying flow of heat exchange media over the plurality of heat exchange elements. The time-varying flow of heat exchange media may comprise entrained particles or liquid, e.g., a gas-liquid mixture. The particle-dislodging device may further comprise an electrostatic charge generator. The particle-dislodging device may also comprise an electrostatic discharge device. The particle-dislodging device may comprise at least one shape memory alloy or a bimetal element. The particle dislodging system may comprise an electrical-vibration transducer and an oscillating signal generator, receiving a feedback signal from the feedback transducer, configured to excite the vibration transducer. The particle-dislodging device may comprise a fan or compressor, configured to induce a flow of a gaseous heat transfer medium over a plurality of heat exchange elements of the heat exchange surface. The particle dislodging device may comprise a fan or compressor, configured to induce a flow of a gaseous heat transfer medium over the heat exchange surface along at least one vector, having at least one control input, wherein the at least one vector is altered in dependence on the at least one control input.


The system may further comprise at least one a vibrational transducer, controlled to cancel vibrations at the base structure produced by the particle-dislodging device. A vibration damper may be provided, configured to damp vibrations at the base structure. A feedback transducer may be provided, configured to detect vibrations.


The heat exchange surface may comprise a plurality of heat exchange elements having resonances over a range of frequencies, and the particle-dislodging device comprises an electrical-vibration transducer and an oscillating signal generator, configured to generate vibrations over the range of frequencies, to resonate the plurality of heat exchange elements. The heat exchange surface may also comprise a plurality of heat exchange elements having characteristic dimensions over at least two orders of size scales. The heat exchange surface may comprise a plurality of heat exchange elements, and the particle-dislodging device may comprise an actuator configured to alter at least one spatial relationship of a first of the plurality of heat exchange elements with respect to a second of the plurality of heat exchange elements. The actuator may be a passively activated member responsive to temperature. The actuator may also be actively controlled by an automated electronic processor in dependence on a computational heat exchange model of the heatsink system.


The accumulation of particles on the heat exchange element may be reduced with a particle-degrading device. The particle-degrading device may comprise a pyrolizer, degrading the particles by pyrolysis. The particle-degrading device may also comprise a pump configured to cause a time varying flow of a liquid solvent entrained in a gas heat exchange medium on the heat exchange surface. The particle-degrading device may comprise a laser. The particle-degrading device may comprise an electrical discharge plasma emitter.


The accumulation of particles on the heat exchange surface may be reduced by vibration. The accumulation of particles on the heat exchange surface may be reduced with a piezoelectric transducer. The accumulation of particles on the heat exchange surface may be reduced with an electromagnetic transducer. The accumulation of particles on the heat exchange surface may be reduced with a rotating motor configured to induce a vibration in the plurality of heat exchange elements. The accumulation of particles on the heat exchange surface may be reduced with at least one active system, which induces a time-varying flow of heat exchange media over the heat exchange surface. The time-varying flow of heat exchange media may comprise entrained particles. The time-varying flow of heat exchange media may comprise a liquid mixed with a gas. The method may further comprise inducing a flow of a gaseous heat transfer medium comprising an entrained solvent over the plurality of heat exchange elements. The accumulation of particles on the heat exchange surface may be reduced by generating an electrostatic charge. The accumulation of particles on the heat exchange surface may be reduced by use of an electrostatic discharge generator. The accumulation of particles on the heat exchange surface may be reduced by heating and cooling at least one shape memory alloy or bimetal element. The accumulation of particles on the heat exchange surface may be reduced by selectively activating a laser. The accumulation of particles on the heat exchange surface may be reduced by inducing transient thermal changes proximate to the heat exchange surface. The accumulation of particles on the heat exchange surface may be reduced by selectively generating vibrations with a vibrational transducer, controlled to cancel vibrations at the base structure. The accumulation of particles on the heat exchange surface may be reduced by inducing vibrations in a plurality of heat exchange elements of the heat exchange surface, and damping vibrations at the base structure. The accumulation of particles on the heat exchange surface may be reduced by inducing a flow of a gaseous heat transfer medium over the heat exchange elements along at least one vector, having at least one control input, wherein the at least one vector is altered in dependence on the at least one control input.


The method may further comprise detecting vibrations with a feedback transducer, and generating vibration with an electrical-vibration transducer in dependence on a signal received from the feedback transducer. The heat exchange surface comprises a plurality of heat exchange elements having resonances over a range of frequencies, the method further comprising generating vibrations over the range of frequencies, to resonate the plurality of heat exchange elements.


The heat exchange surface may comprise a plurality of heat exchange elements having characteristic dimensions over at least two orders of size scales. The plurality of heat exchange elements may have fractal-like features, or have fractal-like relationships with each other. The heat exchange surface may comprise a plurality of heat exchange elements, and the accumulation of particles on the heat exchange surface may be reduced by altering at least one spatial relationship of a first of the plurality of heat exchange elements with respect to a second of the plurality of heat exchange elements with an actuator. The actuator may be a passively activated member responsive to temperature. The actuator may be actively controlled by an automated electronic processor in dependence on a computational heat exchange model.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 shows a set of governing equations for a parallel plate heatsink.



FIG. 2 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is placed adjacent to the object to be cooled.



FIG. 3 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is placed either adjacent to or surrounding the object to be cooled.



FIG. 4 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Quadratic Koch Island.



FIG. 5A illustrates the basis for the Quadratic Koch Island.



FIG. 5B illustrates a Quadratic Koch Island obtained after application of one iteration.



FIG. 5C illustrates a Quadratic Koch Island obtained after application of several iterations.



FIG. 6 illustrates the total length of all the fractal segments of a Quadratic Koch Island.



FIG. 7A illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a modified Koch Snowflake.



FIG. 7B illustrates the basis for generating the modified Snowflake.



FIG. 8A illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Sierpinski Carpet.



FIG. 8B illustrates the basis for generating the Sierpinski Carpet.



FIG. 9 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Mandelbox.



FIG. 10 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Sierpinski tetrahedron.



FIG. 11 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Dodecaedron fractal.



FIG. 12 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Icosahedron flake.



FIG. 13 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on an Octahedron flake.



FIG. 14 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a 3D Quadtratic Koch.



FIG. 15 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Jerusalem cube.



FIG. 16 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a von Koch surface.



FIG. 17 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Menger sponge.



FIG. 18 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a 3D H fractal.



FIG. 19 illustrates a fractal heatsink that is an exemplary embodiment of the invention. In this embodiment, the heatsink is based on a Mandelbulb.



FIGS. 20-37 illustrate various heatsink designs and proposals, which may be used in conjunction with various embodiments of the technology.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS


FIG. 2 illustrates a heatsink implementing a first embodiment of this invention. Note that the illustration is in two dimensions, but a three-dimensional embodiment is both possible and preferred. There is a heat transfer surface 100 that allows the heatsink to rest comfortably on a surface, such as the solid to be cooled 190. In the illustrated embodiment, the heat transfer surface 100 is roughly planar, having a closed Euclidian cross-section on the bottom. However, it might also have another shape, for example if the solid to be cooled does not have a planar face. The heat transfer surface may also comprise an anisotropic vibration transfer thermal interface material, such as a braided or straight fine copper wire bundle. Such a bundle advantageously has strands of different length, which, for example, could permit destructive interference of vibrations transmitted along each strand. A fractal-shaped heat exchange device begins at point 110. The base of the fractal-shaped heat exchange device at point 110 may also or alternately include a piston and cylinder, to provide vibrational isolation along the piston movement axis, while also transmitting heat from the heat source to the heatsink along the peripheral wall of the cylinder to the inner wall of the piston. The working fluid within the cylinder may be a heat transfer fluid, and a set of valves may be actuated based on the vibration to induce a flow. The heat transfer fluid may be a phase change fluid, and the gaseous phase may vent from the cylinder through a valve. Note that the heatsink has three branches leaving from point 110—branch 120, branch 140, and branch 160. Also note that the branch structure initiating from point 110 is nearly identical to that at point 122 and 142, even though only point 110 is a true starting point. Thus, the fractal property of self-similarity is present. We call the structure that begins at point 110 the “first motif,” the structure from point 122 the “second motif,” and the structure that begins from point 142 the “third motif.” Note that, in the embodiment illustrated in FIG. 2, the replication from first to second motif and from second to third motif involves a linear displacement (upward) and a change of scale. In branches not going in the same direction as the prior branch, there is also a rotation. Under the limitations for ideal fractals, the second motif and third motif are a smaller, similar copy of the first motif. However, due to the limitations imposed by human-made structures and machines, the fractals designed here are generally finite and the second motif will thus be an inexact copy of the first motif, i.e. if there are N levels starting from the first motif, the second motif level will have N−1 levels, if N is very large, the difference is insignificant. In other words, the self-similarity element required in fractals is not preserved perfectly in the preferred designs due to the limitations of available machinery, other feasibility constraints, and various design issues. In addition, the benefits are achieved without requiring fractal relationships over more than a few “orders” of magnitude (iterations of the fractal recursive algorithm). For example, in the embodiment illustrated in FIG. 2, there are no continuing branch divisions and iterations at point 162, even though an ideal fractal would have them. In an ideal fractal, there would be an infinite number of sub-branches from 110, 122, and 142. However, an imperfect fractal shape, as illustrated in FIG. 2, will serve the purposes of this invention.



FIG. 2 shows various embodiments of the invention, which may be used individually, in combination, or in subcombination. When ambient air flows over a textured surface, such as a branching fractal or fractal-like shape, dust, fibers and/or debris may accumulate. In addition, in some cases, pollutants or oils may deposit. Such depositions tend to reduce the efficiency of heat transfer, and when sufficiently thick, should be removed or disrupted. According to one embodiment, a particle-dislodging device configured to mechanically disrupt an accumulation of particles on the plurality of heat exchange elements is provided, e.g., vibration transducer 126, fan 127, actuator 132, etc.


Thus, for example, the particle-dislodging device may comprise a vibration transducer 126 configured to vibrate a plurality of heat exchange elements comprising the heat exchange surface. The vibration transducer 126 may be, for example, a piezoelectric transducer, an electromagnetic transducer, or a rotating motor. In the case of a vibration transducer, it is preferred that the vibrations be emitted at resonant frequencies of the heat exchange elements; which advantageously span a range due to the fractal or fractal-like disposition. Therefore, vibrational energy can be selectively targeted to certain elements, without resonant vibration of the entire structure. The vibrational energy may be controlled to scan a range of frequencies, or to target specific frequencies corresponding to targeted structures.


The system may further comprise at least one vibrational transducer 130, controlled by a feedback-controlled vibration generator 128 to cancel vibrations at the base structure produced by the particle dislodging device 126, based on a signal from a vibration sensing transducer 131.


A vibration damper may be provided to damp vibrations at the base structure, e.g., near the point 110. This may be an isotropic or anisotropic vibration isolator, and for example may comprise a bundle of wires (e.g., copper), a piston and cylinder, a particle-filled polymeric thermal interface material, copper nanotubes, or the like.


A fan 126 or a heat transfer fluid (which may be gaseous or liquid) pump/compressor may be provided, which in turn may be controlled by e.g., motor speed control 128 to induce a time-varying flow of heat exchange media over the plurality of heat exchange elements. The fan 126 or pump/compressor may be configured to induce a flow of a gaseous heat transfer medium over the heat exchange surface along at least one vector, having at least one control input, wherein the at least one vector is altered in dependence on the at least one control input, by, for example a set of louvers 137. The flow rate may also be controlled over time, in dependence on thermal load, desired turbulence or other convective heat transfer phenomenon, acoustic emissions, or other criteria.


The heat exchange media may comprise entrained particles 125, such as magnetic particles 125, which impinge on the surfaces of the heat exchange elements, and can dislodge surface debris. Advantageously, a magnetic collector can capture the particles for reuse, after mixed debris is separated. The entrained particles 125 may also be liquid droplets in a gas-liquid mixture.


In an alternate embodiment, the particle-dislodging device comprises an electrostatic charge generator and an electrostatic discharge device 129. These cooperate to charge the surfaces of the heat exchanger, which in conjunction with a collection plate/discharge device, induce a force on the surface particles to move from the heat exchange surface to the collection plate.


The particle-dislodging device may also comprise a shape memory alloy 132 or bimetal element, which for example is passively controlled by a temperature, or actively controlled by control 133 to change the configuration of the heatsink. The control 133 may include an automated electronic processor in dependence on a computational heat exchange model of the heatsink system. Other types of actuator configured to alter at least one spatial relationship of a first portion of the heat exchange elements with respect to a second portion of the heat exchange elements are possible.


In an alternate embodiment, the particle-degrading device is configured to chemically degrade an accumulation of particles on the plurality of heat exchange elements. For example, the particle-degrading device may be a pyrolizer 134, discharge plasma emitter 136, solvent wash (solvent as entrained particles 125), etc. These chemical degradation effects need not be constant, and can thus vary in intensity, duty cycle, etc. over time.


A laser 135 may be provided to ablate or disrupt the accumulation. The laser may be, for example, controlled by electronically controlled mirrors. On some cases, a continuous scanning is desired, and the control may be a simple area scan of a pulsed laser beam.


The fractal heatsink has a much larger surface area than the heat transfer surface alone, or a regular array of heatsink because all of the “branches” and “leaves” of the fern-like fractal shape serve to increase the surface area. In addition, if a heat transfer fluid is induced to flow above the heat transfer surface 100, the turbulent portions of the heat transfer fluid near the surface will be increased by the textures inherent in the fractal variation in the heat exchange element 110. Because the fractal patterns is itself non-identically repeating within the fractal design, this will serve to substantially reduce narrow band acoustic resonance as compared to a corresponding heat exchange device having a repeating design, e.g., a linear or geometric variation between several heat exchange elements, thereby further aiding in the heat transfer process.


In a preferred embodiment, the heat transfer surface 100 and the roughly fractal-shaped heat exchange element 110 are all made out of an efficient heat conductor, such as copper or aluminum, or more preferably, having a portion whose heat conductivity exceeds 850 W/(m*K), such as graphene with a heat conductivity of between 4840 and 5300 W/(m*K) or diamond with a heat conductivity between 900 and 2320 W/(m*K). This would allow heat to quickly enter the heatsink from the solid and for heat to quickly exit the heatsink through the branches and leaves of the fern-like fractal 110. In another embodiment, the heatsink is formed, at least in part, of carbon nanotubes, which display anisotropic heat conduction, with an efficient heat transfer along the long axis of the tube. Carbon nanotubes are submicroscopic hollow tubes made of a chicken-wire-like or lattice of carbon atoms. These tubes have a diameter of just a few nanometers and are highly heat conductive, transferring heat much faster than diamond, and in some cases comparable to graphene. See news.mit.edu/2010/thermopower-waves-0308.


Also note that this exemplary embodiment provides a plethora of openings, e.g. 124 and 126, between the branches or fractal sub-elements to ensure that all of the branches are exposed to the surrounding air, gas or liquid and to allow the heat to escape from the heatsink into the surroundings. In one embodiment of the invention, at least two of these openings are congruent, as are openings 124 and 126 illustrated here. An embodiment of the invention allows the openings to be filled with the air or liquid from the surrounding medium. Due to the limitation imposed by the solid's flat shape, it is not possible to increase the exposure of the fern-like fractal to the solid. However, the air or liquid outside of the solid are perfect for the fractal's exposure.


Under the phonon model of heat exchange, applicable to carbon nanotubes, graphene materials, and perhaps others, the fractal shape is advantageous to ensure the escape of the phonons into the surrounding fluid medium because the fractal configuration may avoid peaked internal reflection of waves, and provide high surface exposure to the fluid heat transfer medium. Skilled persons in the art will realize that this could be achieved through many known structures. For example, graphene, which is one-atom-thick carbon and highly heat conductive, would be an advantageous material to use to build a 2D implementation of the fractal heatsink herein described.


When a turbulently flowing fluid passes around an obstacle, concave regions or cavities in the obstacle create pockets of separated flow which generates self-sustaining oscillations and acoustic resonance. Convex regions may also be provided. These regions may be provided in a fractal arrangement. In this aspect of the technology, fractal is meant to signify self-similar but with differences in scale and optionally another attribute. The regions may produce substantially reduced narrow band acoustic resonance as compared to regularly spaced and arranged disruptions in the flow pattern. Likewise, the presence of disruptions disturbs the surface layer and may enhance convective heat transfer.



FIG. 3 illustrates another embodiment of the invention. A solid to be cooled that has an arbitrary shape 290 is located inside (illustrated) or outside (not illustrated) a two-dimensional or three-dimensional roughly fractal shaped 210 heatsink. In one embodiment, the heatsink 210 has an aperture 270 designed to hold the solid. Note that, as in FIG. 2, the fractal heat exchange element has multiple motifs, starting with the large triangle at 210, to progressively smaller triangles at 220 and 230. However, note that the fractal does not keep extending infinitely and there are no triangles smaller than the one at 230. In other words, the fractal heatsink 210 has multiple recursive fractal iterations 220 and 230, but the fractal iterations stop at level 230 for simplicity of design and manufacturability. Also note that the fractal submotifs 220 and 230 are of different dimensional sizes from the original fractal motif 210 and protrude from the original fractal shape 210. Here, the first motif is a large triangle, and the latter motifs are smaller triangles, which involve a rotation, linear displacement, and change of scale of the prior motif. In one embodiment, the fractal shape has some apertures in it (not illustrated) to allow the solid to be cooled to connect with other elements. Also, the solid to be cooled is connected to the fractal shape at point connector 240 and through bus wires at 250 and 260. The solid should be connected to the fractal heatsink in at least one point, either through a point connection, a bus wire connection, or some other connection. If it is desired that the solid be fixed inside the heatsink, there may be at least three connection points, as illustrated. However, only one connection point is necessary for conduction between the solid to be cooled and the heatsink. Preferably, the point or bus wire connection is built using a strong heat conductor, such as carbon nanotubes or a diamond-like coating.


Note that, as in FIG. 1, the fractal structure 210 in FIG. 2 has multiple concave regions or cavities. When a turbulently flowing fluid passes around this fractal heatsink, the concave regions or cavities substantially reduce the narrow band acoustic resonance as compared to a flat or Euclidian structure. This allows for more energy to be available to for heat transfer.


In yet another embodiment of the invention, the heatsink 210 in FIG. 3 could be constructed without the connections at points 240, 250, and 260. In one embodiment, a liquid or gas would fill the aperture 270 with the intent that the liquid or gas surround the solid to be cooled, hold it in place, or suspend it. Preferably, the liquid or gas surrounding the solid would conduct heat from the solid to the heatsink, which would then cause the heat to exit.


In another embodiment of the invention, the heatsink comprises a heat exchange device which is structurally configured based on a Quadratic Koch Island as illustrated in FIG. 4.



FIG. 5A illustrates a square with dimension x0 that forms the basis for the Quadratic Koch Island. FIG. 5B illustrates a Quadratic Koch Island obtained after application of one fractal on the square. The fractal with section lengths of l is applied to each side of the square in the first iteration. Similarly, after several such iterations, a Quadratic Koch Island as illustrated in FIG. 5C may be obtained.



FIG. 6 illustrates the length of the fractal lf which is the total length of all the fractal segments. The length of each fractal section, l(n), decreases with each iteration of the fractal. The fractal section length is described by eq. 7.

l(n)=(¼)nx0  (7)

    • where,
    • x0 is the length of the side of the original square,
    • n is the number of iterations


As can be seen from eq. 7, the fractal section length decreases after each iteration. When the number of iterations becomes increasingly large, the section length tends towards being negligible.


Further, it may be mathematically shown that the overall length L of the fractal may be obtained from eq. 8.










L

(
n
)

=


x
0

(

1
+


2
3



(

1
-

1

4
n



)



)





(
8
)









    • where,

    • x0 is the length of the side of the original square,

    • n is the number of iterations





Similarly, it may be shown that the circumference C of the Quadratic Koch Island can be obtained from eq. 9.

C=4(2″x0)  (9)

    • where,
    • x0 is the length of the side of the original square,
    • n is the number of iterations


It is evident that with each iteration, the circumference C increases. However, the cross-sectional area remains constant at x02 since when a fractal area is added the same area is subtracted elsewhere.


In one embodiment, the number of iterations corresponding to the Quadratic Koch Island may be greater than 5. Consequently, the heat exchange device functions as a compact heat exchanger. In other words, the heat exchange device has a large heat transfer area per unit exchanger volume. As a result, several advantages are obtained such as, but not limited to, reduction in space, weight, power requirements and costs. In another embodiment, the number of iterations corresponding to the Quadratic Koch Island may be less than or equal to 5. Consequently, the heat exchange device may function as a non-compact heat exchanger.


It may be shown with heat transfer analysis that heat transfer and heat transfer coefficient increase independently of each other with every application of the fractal. Further, the increase may be double, or greater, with every fractal iteration. In general, the increase in heat transfer follows a trend of 2″. Moreover, pumping power increases at almost one and a half the rate. Pumping power is the power needed to pump the heat transfer fluid through the heat exchange device.


In yet another embodiment of the invention, the heatsink comprises a heat exchange device which is structurally configured based on a modified Koch Snowflake as illustrated in FIG. 7A. The basis for generating the modified Snowflake is an equilateral triangle of width w as illustrated in FIG. 7B. In the first iteration, two smaller equilateral triangles of width ⅓ of the base width w are added onto two sides of the base triangle. Similarly, by applying a second and a third iteration, the modified Koch Snowflakes as illustrated in FIG. 7A may be obtained.


The surface area, As(n), of the modified Koch Snowflake may be obtained from eq. 10.











A
s

(
n
)

=


2


(


w

t

+



3

4



w
2



)


+







1
n

[




(

w

3
n


)

2



(


3

2

)


+


(

w

3
n


)


t


]



2


2

n

-
1








(
10
)









    • where,

    • w is the width of the base triangle

    • n is the number of iterations

    • t is the thickness of the modified Koch Snowflake





It is evident that the surface area of the modified Koch Snowflake increases with each iteration. More specifically, it may be observed that after 5 iterations there is an increase in surface area of about 58%.


Further, the mass of the modified Koch Snowflake may be obtained using eq. 11.










m

(
n
)

=


{




3

4



w
2


+







1
n

[



(

w

3
n


)

2



(


3

4

)


]



2

2

n

0

1




}


ρ

t





(
11
)







where, w, n, and t are as above, and p is the density of the material making up the modified Koch Snowflake.


It may be observed that the change in surface area with respect to the baseline case (i.e., n=0) is a function of width (w) and thickness (t). However, the change in mass with respect to the baseline is dependent on the fractal geometry chosen. The mass of the modified Koch Snowflake increases with each iteration. However, it converges to a maximum value of mass increase of approximately 40%.


A heat transfer effectiveness (ε) of the modified Koch Snowflake may be defined as the ratio of heat transfer achieved to heat transfer that would occur if the modified Koch Snowflake was not present. ε may be calculated from eq. 13.









ε
=


Q
c


h



A
b

(


T
b

-

T



)







(
13
)









    • where,

    • Q is the heat rate

    • h is the heat transfer co-efficient

    • A is the area

    • T is the temperature





Further, a heat transfer efficiency (η) of the modified Koch Snowflake may be defined as the ratio of heat transfer achieved to the heat transfer that would occur if the entire modified Koch Snowflake was at the base temperature. η may be calculated from eq. 12.









η
=


Q
c


h



A
S

(


T
b

-

T



)







(
12
)









    • where, Q, h, A, and T are as above.





The heat transfer effectiveness (ε) increases with each iteration. In an embodiment, the modified Koch Snowflake corresponding to three iterations may be used to form the heat exchange device. Accordingly, in this case, the heat transfer effectiveness (ε) may increase by up to 44.8%. Further, the increase in heat transfer effectiveness (ε) per mass may be up to 6%. In one embodiment, the material used to make the modified Koch Snowflake may be aluminum. Consequently, heat transfer effectiveness (ε) per mass of approximately two times larger than that obtained using copper may be achieved.


Further, the heat transfer effectiveness (ε) per mass depends on the thickness of the modified Koch Snowflake. In an embodiment, the ratio of width (w) to thickness (t) corresponding to the modified Koch Snowflake may be 8. Accordingly, an increase in heat transfer effectiveness (ε) per mass of up to 303% may be achieved at the fourth iteration.


In yet another embodiment of the invention, the heatsink comprises a heat exchange device which is structurally configured based on a Sierpinski Carpet as illustrated in FIG. 8A. The Sierpinski Carpet is formed by iteratively removing material from a base geometry such as, but not limited to, a square as illustrated in FIG. 8B. In the first iteration, a square with ⅓ of the base width (w) is removed. Similarly, by performing second and third iterations, the Sierpinski Carpets as illustrated in FIG. 8A may be obtained.


The surface area, As(n), of the Sierpinski Carpet may be obtained from eq. 13.











A
s

(
n
)

=


2


w
2


+

3

w

t

-






1
n




8

n
-
1


[


2



(

w

3
n


)

2


-

4


(

w

3
n


)


t


]







(
13
)









    • where,

    • w is the width of the base square

    • n is the number of iterations

    • t is the thickness of the Sierpinski Carpet





Starting from n=0, with each subsequent iteration, the surface area of the Sierpinski carpet initially reduces before reaching a minimum. However, after reaching the minimum, the surface area increases with each subsequent iteration. For example, at a width (w) of 0.0508 m an increase in surface area of 117% may be obtained after five iterations. Similarly, at a width (w) of 0.0254 m, a surface area increase of 265% may be obtained after five iterations.


Further, the mass of the Sierpinski Carpet may be obtained using eq. 14.










m

(
n
)

=


{


w
2

-






1
n

[


8

n
-
1





(

w

3
n


)

2


]


}


ρ

t





(
14
)







where w, n, and t are as above, and p is the density of the material making up the Sierpinski carpet


It may be seen from eq. 11 that with each iteration, the mass of the Sierpinski carpet decreases. For example, after five iterations, there is a reduction of 45% of mass of the Sierpinski carpet.


The heat transfer effectiveness (ε) corresponding to the Sierpinski carpet increases with each iteration. In an embodiment, the Sierpinski carpet corresponding to three iterations may be used to form the heat exchange device. Accordingly, in this case, the heat transfer effectiveness (ε) may increase by up to 11.4%. Further, the increase in heat transfer effectiveness (ε) per mass corresponding to the Sierpinski carpet may be up to 59%. In one embodiment, the material used to make the Sierpinski carpet may be aluminum. Consequently, heat transfer effectiveness (ε) per mass of approximately two times larger than that obtained using copper may be achieved.


Further, the heat transfer effectiveness (ε) per mass corresponding to the Sierpinski carpet depends on the thickness of the corresponding to the Sierpinski carpet. In an embodiment, the ratio of width (w) to thickness (t) corresponding to the corresponding to the Sierpinski carpet may be 8. Accordingly, an increase in heat transfer effectiveness (ε) per mass of up to 303% may be achieved at the fourth iteration.


In other embodiments, the heatsink may comprise a heat exchange device which is structurally configured based on, but not limited to, one or more fractals selected from the group comprising: A “scale 2” and “scale 3” Mandelbox; Sierpinski tetrahedron; Fractal pyramid; Dodecahedron fractal; 3D quadratic Koch surface (type 1); 3D quadratic Koch surface (type 2); Jerusalem cube; Icosahedron fractal; Octahedron fractal; Von Koch surface; Menger sponge; 3D H-fractal; and Mandelbulb.


In accordance with an embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a Mandelbox as exemplarily illustrated in FIG. 9. A Mandelbox is a box-like fractal object that has similar properties as that of the Mandelbrot set. It may be considered as a map of continuous, locally shape preserving Julia sets. Accordingly, the Mandelbox varies at different locations, since each area uses a Julia set fractal with a unique formula. The Mandelbox may be obtained by applying eq. 15 repeatedly to every point in space. That point ν is part of the Mandelbox if it does not escape to infinity.

ν=s*ballFold(r,f*boxFold(ν))+c  (15)

    • where boxFold(ν) means for each axis a:
      • if ν[a]>1 ν[a]=2−ν[a]
      • else if ν[a]<−1 ν[a]−2−ν[a]
    • and ballFold(r, ν) means for ν's magnitude m:
      • if m<r m=m/r2
      • else if m<1 m=1/m


In an instance, using the values of s=2, r=0.5 and f=1 in eq. 12, the standard Mandelbox may be obtained.


In accordance, with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a Sierpinski tetrahedron. The Sierpinski tetrahedron, also called as tetrix, is a three-dimensional analogue of the Sierpinski triangle. The Sierpinski tetrahedron may be formed by repeatedly shrinking a regular tetrahedron to one half its original height, putting together four copies of this tetrahedron with corners touching, and then repeating the process. This is illustrated in FIG. 10 for the first four iterations. The Sierpinski tetrahedron constructed from an initial tetrahedron of side-length L has the property that the total surface area remains constant with each iteration.


The initial surface area of the (iteration-0) tetrahedron of side-length L is L2√3. At the next iteration, the side-length is halved and there are 4 such smaller tetrahedra. Therefore, the total surface area after the first iteration may be calculated by eq. 16.









4



(



(

L
2

)

2



3


)

=


4



L
2

4



3


=


L
2



3








(
16
)







This remains the case after each iteration. Though the surface area of each subsequent tetrahedron is ¼ that of the tetrahedron in the previous iteration, there are 4 times as many thus maintaining a constant total surface area. However, the total enclosed volume of the Sierpinski tetrahedron decreases geometrically, with a factor of 0.5, with each iteration and asymptotically approaches 0 as the number of iterations increases.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a dodecahedron fractal. The dodecahedron fractal, also called as dodecahedron flake, may be formed by successive flakes of twenty regular dodecahedrons, as exemplarily illustrated in FIG. 11 for second iteration. Each flake is formed by placing a dodecahedron scaled by 1/(2+φ) in each corner, wherein φ=(1+√5)/2.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on an icosahedron flake, also called as a Sierpinski icosahedron. The icosahedron flake may be formed by successive flakes of twelve regular icosahedrons, as exemplarily illustrated in FIG. 12 for third iteration. Each flake may be formed by placing an icosahedron scaled by 1/(2+φ) in each corner, wherein φ=(1+√5)/2.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on an octahedron flake. The octahedron flake, or Sierpinski octahedron, may be formed by successive flakes of six regular octahedrons, as exemplarily illustrated in FIG. 13 for third iteration. Each flake may be formed by placing an octahedron scaled by ½ in each corner.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a 3D Quadtratic Koch. As exemplarily illustrated in FIG. 14, the 3D Quadratic Koch may be obtained by growing a scaled down version of a triangular pyramid onto the faces of the larger triangular pyramid with each iteration. FIG. 14 illustrates the first four iterations.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a Jerusalem cube, as exemplarily illustrated in FIG. 15. The Jerusalem cube may be obtained by recursively drilling Greek cross-shaped holes into a cube. The Jerusalem Cube may be constructed as follows:

    • 1. Start with a cube.
    • 2. Cut a cross through each side of the cube, leaving eight cubes (of rank +1) at the corners of the original cube, as well as twelve smaller cubes (of rank +2) centered on the edges of the original cube between cubes of rank +1.
    • 3. Repeat the process on the cubes of rank 1 and 2.


Each iteration adds eight cubes of rank one and twelve cubes of rank two, a twenty-fold increase.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a von Koch surface, as exemplarily illustrated in FIG. 16. The von Koch surface may be constructed by starting from an equilateral triangular surface. In the first iteration, the midpoints of each side of the equilateral triangular surface are joined together to form an equilateral triangular base of a hollow triangular pyramid. This process is repeated with each iteration.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a Menger sponge, as exemplarily illustrated in FIG. 17. The Menger sponge may be constructed as follows:

    • 1. Begin with a cube (first image).
    • 2. Divide every face of the cube into 9 squares, like a Rubik's Cube. This will sub-divide the cube into 27 smaller cubes.
    • 3. Remove the smaller cube in the middle of each face, and remove the smaller cube in the very center of the larger cube, leaving 20 smaller cubes (second image). This is a level-1 Menger sponge (resembling a Void Cube).
    • 4. Repeat steps 2 and 3 for each of the remaining smaller cubes, and continue to iterate ad infinitum.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a 3D H fractal, as exemplarily illustrated in FIG. 18. The 3D H fractal is based on an H-tree which may be constructed by starting with a line segment of arbitrary length, drawing two shorter segments at right angles to the first through its endpoints, and continuing in the same vein, reducing (dividing) the length of the line segments drawn at each stage by √2. Further, by adding line segments on the direction perpendicular to the H tree plane, the 3D H fractal may be obtained.


In accordance with another embodiment, the heatsink may comprise a heat exchange device which is structurally configured based on a Mandelbulb, as exemplarily illustrated in FIG. 19. The Mandelbulb is a three-dimensional analogue of the Mandelbrot set. The Mandelbulb may be defined as the set of those C in custom character3, for which the orbit of <0, 0, 0> under the iteration νcustom characterνn+c is bounded, where the “nth power” of the vector ν=custom characterx, y, zcustom character in custom character3 is given by eq. 17.

νn:=rncustom charactersin (nθ) cos (nϕ, sin (nθ) sin (nϕ), cos (nθ)custom character  (17)

    • Where custom character
    • r=√{square root over (x2+y2+z2)},
    • ϕ=arctan(y/x)=arg(x+yi), and
    • θ=arctan(√{square root over (x2+y2)}/z)=arccos(z/r).


In accordance with another embodiment of the invention disclosed herein, the heatsink comprises a heat exchange device having a plurality of heat exchange elements which are perforated. As a result, an enhanced heat transfer may be achieved. Additionally, use of perforations may increase heat transfer by up to a factor of two per pumping power. Further, in a specific embodiment, the plurality of heat exchange elements may be hollow. The combination of hollow heat exchange elements with perforations can result in increases in heat transfer greater than that of a solid heat exchange element of the same diameter. Additionally, increases in heat transfer per pumping power of up to 20% could be achieved by varying the inclination angle and diameter of the perforations in aligned arrays of the plurality of heat exchange elements. Furthermore, one or more of the number of perforations and shape of perforations may be configured in order to control the heat transfer. For instance, under natural convection, heat transfer is directly proportional to the number of square perforations. In another instance, circular and square perforations may be used to obtain higher Nusselt number. Since heat transfer is proportional to Nusselt number, greater heat transfer may be achieved with such an arrangement. In yet another instance, the Nusselt number corresponding to the plurality of heat exchange elements may be varied based on one or more of a pitch, a hole diameter, a surface area and flow velocity. In particular, by modifying the pitch of the perforations, the Nusselt number and hence heat transfer may be increased.


In an embodiment, the heat transfer effectiveness of the plurality of heat exchange elements may be greater than or equal to a minimum value such that addition of the plurality of heat exchange elements is justified. As a non-limiting example, the minimum value may be ten.


In another embodiment, a spacing between the plurality of heat exchange elements is determined based on a height of the plurality of heat exchange elements. In a specific embodiment, for a given heat rate, an optimal spacing between the plurality of heat exchange elements may decrease with an increase in height of the plurality of heat exchange elements.


In yet another embodiment, a shape corresponding to the plurality of heat exchange elements may be configured to provide enhanced heat transfer. For instance, the plurality of heat exchange elements may be fluted. As a result, an increase in heat transfer by up to 9% may be achieved. In another instance, the plurality of heat exchange elements may be wavy providing an increase in heat transfer by up to 6%. In one embodiment, the shape corresponding to the plurality of heat exchange elements may be triangular, circular, elliptical, rectangular and trapezoidal. For instance, the plurality of heat exchange elements may be elliptically annular. Further, an elliptical aspect ratio corresponding to the plurality of heat exchange elements may be varied in order to obtain greater heat transfer efficiency. As a non-limiting example, the elliptical aspect ratio may be increased in order to obtain higher heat transfer efficiency. In another instance, the plurality of heat exchange elements may be trapezoidal with an optimal aspect number of 1.5. In yet another instance, the plurality of heat exchange elements may be diamond shaped pin fins. Further, the pitch corresponding to the plurality of heat exchange elements may be varied to obtain enhanced heat transfer. For example, the pitch may be varied in proportion to the required heat transfer coefficient. As a result, increase in heat transfer up to 340% beyond that of flat pin fins may be achieved.


In other embodiments of the invention, the surface geometry of the plurality of heat exchange elements may be varied in order to provide enhanced heat transfer. For instance, square ribs along the plurality of heat exchange elements may be used. As a result, thermal performance may increase by up to 30%. In another instance, diamond shaped surface protrusions may be provided over the plurality of heat exchange elements. Consequently, thermal performance may be increased by up to 38% while also leading to better flow distribution. In yet another instance, grooves may be created on the surfaces of the plurality of heat exchange elements. As a result, heat transfer could increase by up to 25%. In a further instance, dimples may be placed on the flat base of the plurality of heat exchange elements forming a pin fin. Consequently, an increase in heat transfer by up to 8% may be achieved while also reducing the friction factor by up to 18%. Further, in an instance, convex shaped dimples may be used to obtain greater heat transfer.


In some other embodiments, an orientation of the plurality of heat exchange elements may be varied in order to enhance heat transfer. For instance, in case the number of the plurality of heat exchange elements is large, the plurality of heat exchange elements may be oriented vertically with respect to the flat base of the plurality of heat exchange elements. In another instance, in case the plurality of heat exchange elements are short with a finning factor of less than 2.7, a horizontal orientation may be used in order to provide better heat transfer.


In other embodiments, the plurality of heat exchange elements may be configured in order to control an amount of heat transfer by radiation. For example, the height of the plurality of heat exchange elements may be maintained short. As a result, up to 55% of the heat transfer may take place by radiation. On the other hand, the height of the plurality of heat exchange elements may be increased in order to reduce the amount of heat transfer by radiation. As another example, the plurality of heat exchange elements may be circular around an annular heat pipe. Further, a ratio of spacing between the plurality of heat exchange elements and diameter of the plurality of heat exchange elements may be controlled in order to vary the amount of heat transfer by radiation. For instance, the ratio may be decreased in order to decrease the amount of heat transfer by radiation. Similarly, the ratio may be increased in order to increase the amount of heat transfer by radiation.


In an embodiment, the number of iterations corresponding to the fractal variation between respective branches of the plurality of heat exchange elements may be configured in order to control heat transfer. For instance, the number of iterations may be increased in order to obtain greater heat transfer. However, beyond a certain limit, heat transfer may not be directly proportional to the number of iterations. Additionally, varying the number of iterations may also control diffusion rate across the surfaces of the plurality of heat exchange elements based on the fact that diffusion rate is directly proportional to the number of iterations. However, a certain number of iterations such as, but not limited to, four to five iterations, the diffusion rate may converge.


In another embodiment, a dimension corresponding to the fractal variation between respective branches of the plurality of heat exchange elements may be configured in order to control heat transfer. In general, the heat transfer is directly proportional to the fractal dimension. However, this relationship is valid only till a limited number of iterations.


In yet another embodiment, the number of branches corresponding to the plurality of heat exchange elements may be configured to control the heat transfer. Under natural convection, heat transfer effectiveness is found to be directly proportional to the number of branches. However, after a certain number of branch generations, heat transfer effectiveness saturates. Further, a branching ratio may be configured in order to obtain minimum resistance to heat conduction and hence greater heat transfer. In a non-limiting example, a branching ratio of 0.707 or 0.7937 may be used.


In another embodiment, heat transfer may be controlled based on the velocity of fluidic heat exchange medium flowing over the plurality of heat exchange elements. In general, the heat transfer is directly proportional to the velocity of fluidic heat exchange medium under forced convection. Additionally, the optimal number of branches required to maximize heat transfer has been found to reduce with increase in velocity of fluidic heat exchange medium. Accordingly, under forced convection with higher velocity, a smaller number of branches may be required to achieve a required amount of heat transfer. In another embodiment, heat transfer by the plurality of heat exchange elements in the form of an array of perforated fins may be controlled by varying a pumping power. In this case, the heat transfer can be inversely proportional to the pumping power with small increase for turbulent cross-flow but significant increase for parallel flow.


In accordance with embodiments disclosed herein, the heat sink may be manufactured using manufacturing techniques such as, but not limited to, injection molding, die casting, extrusion, forging, gravitational molding, CNC milling, CNC punching, stamping, wire cut machine and wire cut Electrical Discharge Machining (EDM), additive manufacturing (e.g., 3D printing, 2.5D printing, etc.


In a particular embodiment, the heatsink may be manufactured by a machining processing employing cutting tools and controlled slicing techniques to construct the plurality of heat exchange elements from a solid block of material such as, but not limited to, copper or aluminum. This technique is preferable to construct the plurality of heat exchange elements with smaller thickness than is possible by other techniques such as extrusion. Advantages of the heatsink manufactured using this technique include high aspect ratio, thin fin, low tooling cost, easy and inexpensive to prototype, unidirectional flow and single piece construction.


In another embodiment, the heatsink may be manufactured by bending sheets made of, but not limited to, copper or aluminum into fins to form the plurality of heat exchange elements. The fins are then bonded to the flat base of the heatsink. This technique allows the flat base and the fins to be made of different materials. Advantages of this manufacturing technique include light weight of fins, lower tooling cost and differing materials for the flat base and the fins.


In yet another embodiment, the heatsink may be manufactured from sheets of material such as, but not limited to, copper or aluminum bonded onto the flat base using one or more of epoxy, soldering and brazing. This technique of manufacturing is suitable for high power application with low thermal resistance and where forced air cooling is available.


In a further embodiment, the heatsink may be manufactured using die casting. In this technique, material such as, but not limited to, liquid aluminum is forced under high pressure into re-usable steel molds. This technique is especially suited when the plurality of heat exchange elements are of complex shapes.


Those skilled in the art will recognize many ways to fabricate the heatsinks described herein. For example, modern three-dimensional laser and liquid printers can create objects such as the heatsinks described herein with a resolution of features on the order of 16 μm. Also, it is possible to grow a crystal structure using a recursive growth algorithm or through crystal growth techniques. For example, US 2006/0037177, describes a method of controlling crystal growth to produce fractals or other structures through the use of spectral energy patterns by adjusting the temperature, pressure, and electromagnetic energy to which the crystal is exposed. This method might be used to fabricate the heatsinks described herein. For larger heatsinks, such as those intended to be used in car radiators, traditional manufacturing methods for large equipment can be adapted to create the fractal structures described herein.



FIGS. 20-37 illustrate various heatsink designs and proposals, which may be used in conjunction with various embodiments of the technology. In general, these provide heat transfer surfaces with large surface area, and in many cases, small terminal features, which can accumulate or trap dust or particles. According to the present technology, the accumulation or dust and/or particles may be reduced by the various means disclosed herein.


In a typical prior heatsink, the energy cost of a fan is considered high (and the penalty of noise also considered high), and therefore low pressure and modest flow rates are provided, with the flow tending to be linear over a set of plates or vanes. Such flow conditions tend to promote particulate deposition on the heat exchange surfaces. On the other hand, in some cases, the energy cost of the fan and/or noise are not the critical variables to be minimized. In such cases, high flow rates such as to cause turbulent flow are desirable, since these disrupt the boundary layer and provide a higher heat transfer coefficient, while also reducing particulate deposition on the heat exchange surfaces. As shown e.g., in FIG. 36, a spatial-filled fractal or fractal-like object has surfaces with characteristic sizes over a broad range. In these architectures, a heat dissipative structure may be provided in or near the geometric center. (The structure may be split approximately in half, and the structure mounted over a heat dissipative structure on a surface). A source of compressed air may be provided blowing in a void near the heat dissipative structure, with the air flow exiting the structure through the fractal like object. According to another embodiment, a relatively small compressor pressurizes a plenum, which is periodically exhausted through one or more nozzles, toward heat transfer surfaces subject to fouling. The compressor may act in parallel to a fan, i.e., both run concurrently, and the compressor may be run from the same motor as the fan. The compressor may have at least two modes of operation, one employed when the heat dissipation load permits the heat to be shed based on the fan or convective flows, and therefore permitting the plenum to be charged to relatively high pressures, and thus produce a high impulse to dislodge dust and debris, and another mode assumed when heat load is high, and a more continuous flow of lower pressure air from the compressor assist in heatsink operation. In this way, maximum air flow is available at peak heat dissipation requirement times, and a lower air flow with high peak flow rates is available at low heat dissipation times. Further, it is noted that vibration of the heat exchange elements of the structure may assist in heat dissipation, especially if movements are macroscopic, and thus are associated with pressure gradients and air flows around the elements.


This document describes in detail illustrative examples of the inventive apparatus, methods, and articles of manufacture for making and using fractal heatsinks, along with systems and methods for removing dust and particles from their surfaces. Neither the specific embodiments of the invention as a whole, nor those of its features necessarily limit the general principles underlying the invention. The specific features described herein may be used in some embodiments, but not in others, in the various combinations and permutations, without departure from the spirit and scope of the invention as set forth herein. Various physical arrangements of components and various step sequences also fall within the intended scope of the invention. Many additional modifications are intended in the foregoing disclosure, and it will be appreciated by those of ordinary skill in the art that in some instances some features of the invention will be employed in the absence of a corresponding use of other features. The illustrative examples therefore do not limit the metes and bounds of the invention and the legal protection afforded the invention, which function is carried out by current and future claims and their equivalents.

Claims
  • 1. A heatsink, comprising: a base structure configured to interface with a heat source; anda heat exchange device configured to: receive heat from the base structure, andemit the received heat from a heat exchange surface of a plurality of heat exchange elements, into an external surrounding heat exchange medium,wherein the heat exchange surface comprises a plurality of branched heat exchange elements having a plurality of resonant frequencies over a frequency range, and the branched heat exchange elements are configured to induce a turbulence pattern that changes over time in a flow of the heat transfer medium.
  • 2. The heatsink according to claim 1, wherein the plurality of heat exchange elements are arranged in a fractal branched arrangement.
  • 3. The heatsink according to claim 1, wherein the plurality of heat exchange elements have a fractal branching pattern comprising at least two branching nodes.
  • 4. The heatsink according to claim 1, wherein the plurality of heat exchange elements have a three dimensional fractal branching pattern comprising at least two branching nodes over at least two orders of scale, that have a mechanical configuration that changes.
  • 5. The heatsink according to claim 1, wherein the heat exchange medium comprises a liquid.
  • 6. The heatsink according to claim 1, wherein the heat exchange device is configured to emit the received heat from the heat exchange surface of the plurality of heart exchange elements, into the external surrounding heat exchange medium comprising a gas-liquid mixture.
  • 7. The heatsink according to claim 6, further comprising a compressor configured to compress the heat exchange medium.
  • 8. The heatsink according to claim 1, wherein the induced turbulence pattern that changes over time in the flow of the heat transfer medium is adapted to remove particulate deposits from the heat exchange surface.
  • 9. A method of dissipating heat from a heat source, comprising: transferring heat from the heat source through an interface to a heatsink;conducting heat within a body of the heatsink to heat exchange surfaces of a plurality of branched heat exchange elements, into an external surrounding heat exchange medium;the heatsink having a plurality of resonant frequencies over a frequency range; andinducing a turbulence pattern that changes over time in a flow of the heat transfer medium over the heat exchange medium.
  • 10. The method according to claim 9, wherein the plurality of heat exchange elements are arranged in a fractal branched arrangement.
  • 11. The method according to claim 9, wherein the plurality of heat exchange elements have a fractal branching pattern comprising at least two branching nodes.
  • 12. The method according to claim 9, wherein the heat exchange medium comprises a liquid.
  • 13. The methods according to claim 9, wherein the heat exchange device emits the received heat into the external surrounding heat exchange medium comprising a gas-liquid mixture.
  • 14. The method according to claim 9, further comprising compressing the heat exchange medium with a compressor.
  • 15. The method according to claim 9, further comprising removing particular deposits from the heat exchange surfaces with the induced turbulence pattern that changes over time in the flow of the heat transfer medium.
  • 16. A heat dissipation system, comprising: a heat source;a heat sink comprising a plurality of branched heat exchange elements having heat exchange surfaces extending into an external surrounding heat exchange medium configured to emit the received heat from the heat exchange surfaces into the external surrounding heat exchange medium and induce a turbulence pattern that changes over time in a flow of the heat transfer medium, having a plurality of resonant frequencies over a frequency range; andan interface between the heat source and the heat sink, configured to conduct heat from the heat source to the heat sink.
  • 17. The heat dissipation system according to claim 16, wherein the plurality of heat exchange elements are arranged in a fractal branched pattern comprising at least two branching nodes.
  • 18. The heat dissipation system according to claim 16, wherein the heat exchange medium comprises a liquid mixed with a gas.
  • 19. The heat dissipation system according to claim 16, further comprising a compressor configured to compress the heat exchange medium.
  • 20. The heat dissipation system according to claim 16, wherein the induced turbulence pattern that changes over time in the flow of the heat transfer medium is adapted to remove particulate deposits from the heat exchange surface.
CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a Continuation of U.S. patent application Ser. No. 17/828,011, filed May 30, 2022, now U.S. Pat. No. 11,609,053, issued Mar. 21, 2023, which is a Continuation of U.S. patent application Ser. No. 17/093,307, filed Nov. 9, 2020, now U.S. Pat. No. 11,346,620, issued May 31, 2022, which is a Continuation of U.S. patent application Ser. No. 15/648,065, filed Jul. 12, 2017, now U.S. Pat. No. 10,830,545, issued Nov. 10, 2020, which is a Non-provisional of, and claims benefit of priority under 35 U.S.C. § 119(e) from U.S. Provisional Patent Application No. 62/361,253, filed Jul. 12, 2016, the entirety of which are expressly incorporated herein by reference.

US Referenced Citations (1103)
Number Name Date Kind
2535721 Chausson Dec 1950 A
4654092 Melton Mar 1987 A
4715438 Gabuzda et al. Dec 1987 A
4769644 Frazier Sep 1988 A
4819200 Chua et al. Apr 1989 A
4904073 Lawton et al. Feb 1990 A
4931626 Shikama et al. Jun 1990 A
5134685 Rosenbluth Jul 1992 A
5224663 Criswell Jul 1993 A
5354017 Levich Oct 1994 A
5371753 Adsett Dec 1994 A
5396413 Kaneko et al. Mar 1995 A
5443727 Gagnon Aug 1995 A
5453844 George et al. Sep 1995 A
5471991 Shinnar Dec 1995 A
5483098 Joiner, Jr. Jan 1996 A
5510598 Kawam et al. Apr 1996 A
5548481 Salisbury et al. Aug 1996 A
5549795 Gregoire et al. Aug 1996 A
5566377 Lee Oct 1996 A
5600073 Hill Feb 1997 A
5616246 Gagnon et al. Apr 1997 A
5649507 Gregoire et al. Jul 1997 A
5655210 Gregoire et al. Aug 1997 A
5714691 Hill Feb 1998 A
5774357 Hoffberg et al. Jun 1998 A
5781460 Nguyen et al. Jul 1998 A
5792062 Poon et al. Aug 1998 A
5797736 Menguc et al. Aug 1998 A
5803301 Sato et al. Sep 1998 A
5822721 Johnson et al. Oct 1998 A
5834871 Puskas Nov 1998 A
5839080 Muller et al. Nov 1998 A
5841911 Kopeika et al. Nov 1998 A
5842937 Dalton et al. Dec 1998 A
5843301 Esztergar et al. Dec 1998 A
5846394 Burlatsky et al. Dec 1998 A
5856836 Silverbrook Jan 1999 A
5867386 Hoffberg et al. Feb 1999 A
5870284 Stewart et al. Feb 1999 A
5872443 Williamson Feb 1999 A
5875108 Hoffberg et al. Feb 1999 A
5901246 Hoffberg et al. May 1999 A
5903454 Hoffberg et al. May 1999 A
5920477 Hoffberg et al. Jul 1999 A
5921679 Muzzio et al. Jul 1999 A
5928726 Butler et al. Jul 1999 A
5938333 Kearney Aug 1999 A
5938594 Poon et al. Aug 1999 A
5973770 Carter et al. Oct 1999 A
6002588 Vos et al. Dec 1999 A
6015008 Kogure et al. Jan 2000 A
6048313 Stonger Apr 2000 A
6051075 Kochergin et al. Apr 2000 A
6081750 Hoffberg et al. Jun 2000 A
6088634 Muller et al. Jul 2000 A
6092009 Glover Jul 2000 A
6122570 Muller et al. Sep 2000 A
6128188 Hanners Oct 2000 A
6138060 Conner et al. Oct 2000 A
6164458 Mandrin et al. Dec 2000 A
6219592 Muller et al. Apr 2001 B1
6248399 Hehmann Jun 2001 B1
6259516 Carter et al. Jul 2001 B1
6276370 Fisch et al. Aug 2001 B1
6277522 Omaru et al. Aug 2001 B1
6292721 Conner et al. Sep 2001 B1
6292830 Taylor et al. Sep 2001 B1
6330157 Bezama et al. Dec 2001 B1
6333019 Coppens Dec 2001 B1
6333852 Lin Dec 2001 B1
6347263 Johnson et al. Feb 2002 B1
6398736 Seward Jun 2002 B1
6400996 Hoffberg et al. Jun 2002 B1
6418424 Hoffberg et al. Jul 2002 B1
6422998 Vo-Dinh et al. Jul 2002 B1
6433749 Thompson Aug 2002 B1
6484132 Hively et al. Nov 2002 B1
6487442 Wood Nov 2002 B1
6502067 Hegger et al. Dec 2002 B1
6512996 Praskovsky et al. Jan 2003 B1
6544187 Seward Apr 2003 B2
6544309 Hoefer et al. Apr 2003 B1
6570078 Ludwig May 2003 B2
6581008 Intriligator et al. Jun 2003 B2
6597906 Van Leeuwen et al. Jul 2003 B1
6606034 Muller et al. Aug 2003 B1
6608716 Armstrong et al. Aug 2003 B1
6610917 Ludwig Aug 2003 B2
6616327 Kearney et al. Sep 2003 B1
6640145 Hoffberg et al. Oct 2003 B2
6641471 Pinheiro et al. Nov 2003 B1
6641796 Micco et al. Nov 2003 B2
6679272 Bran et al. Jan 2004 B2
6688381 Pence et al. Feb 2004 B2
6689486 Ho et al. Feb 2004 B2
6689947 Ludwig Feb 2004 B2
6691004 Johnson et al. Feb 2004 B2
6707837 Muller Mar 2004 B1
6710723 Muller et al. Mar 2004 B2
6716557 Omaru et al. Apr 2004 B2
6717661 Bernstein et al. Apr 2004 B1
6721572 Smith et al. Apr 2004 B1
6736195 Busch et al. May 2004 B2
6742924 Kearney Jun 2004 B2
6781690 Armstrong et al. Aug 2004 B2
6816786 Intriligator et al. Nov 2004 B2
6849795 Ludwig Feb 2005 B2
6850252 Hoffberg Feb 2005 B1
6852919 Ludwig Feb 2005 B2
6865083 Liu Mar 2005 B2
6876320 Puente Baliarda Apr 2005 B2
6895375 Malah et al. May 2005 B2
6898216 Kleinschmidt May 2005 B1
6905595 Gebauer Jun 2005 B2
6906296 Centanni et al. Jun 2005 B2
6909198 Ragwitz et al. Jun 2005 B2
6937473 Cheng et al. Aug 2005 B2
6941973 Hehmann Sep 2005 B2
6942767 Fazzina et al. Sep 2005 B1
6945094 Eggen et al. Sep 2005 B2
6967315 Centanni et al. Nov 2005 B2
6969327 Aoyama et al. Nov 2005 B2
6971383 Hickey et al. Dec 2005 B2
6980092 Turnbull et al. Dec 2005 B2
6986739 Warren et al. Jan 2006 B2
6988066 Malah Jan 2006 B2
6993377 Flick et al. Jan 2006 B2
6994045 Paszkowski Feb 2006 B2
7001521 Paananen et al. Feb 2006 B2
7006881 Hoffberg et al. Feb 2006 B1
7018418 Amrich et al. Mar 2006 B2
7038123 Ludwig May 2006 B2
7050605 Gerson et al. May 2006 B2
7080989 Gates Jul 2006 B2
7096121 Intriligator et al. Aug 2006 B2
7103480 Intriligator et al. Sep 2006 B2
7113402 Rutledge et al. Sep 2006 B2
7117108 Rapp et al. Oct 2006 B2
7117131 Binnig Oct 2006 B2
7123359 Armstrong et al. Oct 2006 B2
7128833 Jumppanen et al. Oct 2006 B2
7129091 Ismagilov et al. Oct 2006 B2
7136710 Hoffberg et al. Nov 2006 B1
7177282 Gilbert et al. Feb 2007 B1
7178941 Roberge et al. Feb 2007 B2
7195058 Wolford et al. Mar 2007 B2
7216074 Malah et al. May 2007 B2
7217878 Ludwig May 2007 B2
7226539 Dong et al. Jun 2007 B2
7238085 Montierth et al. Jul 2007 B2
7242988 Hoffberg et al. Jul 2007 B1
7256751 Cohen Aug 2007 B2
7258632 Aoyama et al. Aug 2007 B2
7263130 Mitlin Aug 2007 B1
7265826 Mottin Sep 2007 B2
7272599 Gilbert et al. Sep 2007 B1
7273456 May et al. Sep 2007 B2
7276026 Skinner Oct 2007 B2
7296014 Gilbert et al. Nov 2007 B1
7303491 Nardacci et al. Dec 2007 B2
7303682 Paananen et al. Dec 2007 B2
7309828 Ludwig Dec 2007 B2
7309829 Ludwig Dec 2007 B1
7327226 Turnbull et al. Feb 2008 B2
7351360 Hougham et al. Apr 2008 B2
7376553 Quinn May 2008 B2
7390408 Kearney et al. Jun 2008 B2
7407586 Jumppanen et al. Aug 2008 B2
7408108 Ludwig Aug 2008 B2
7411791 Chang et al. Aug 2008 B2
7416903 Sklar et al. Aug 2008 B2
7417954 Gilbert et al. Aug 2008 B1
7422910 Fitzgerald et al. Sep 2008 B2
7442360 Tonkovich et al. Oct 2008 B2
7451005 Hoffberg et al. Nov 2008 B2
7485343 Branson et al. Feb 2009 B1
7495671 Chemel et al. Feb 2009 B2
7496000 Vosburgh et al. Feb 2009 B2
7502034 Chemel et al. Mar 2009 B2
7507380 Chang et al. Mar 2009 B2
7507902 Ludwig Mar 2009 B2
7513839 Nardacci et al. Apr 2009 B2
7539533 Tran May 2009 B2
7551519 Slater Jun 2009 B2
7554511 Fager et al. Jun 2009 B2
7558622 Tran Jul 2009 B2
7569354 Okano et al. Aug 2009 B2
7588505 Hebert et al. Sep 2009 B2
7589742 Street et al. Sep 2009 B2
7590589 Hoffberg Sep 2009 B2
7604956 Drukier Oct 2009 B2
7613604 Malah et al. Nov 2009 B1
7614406 Bran Nov 2009 B2
7630931 Rachev et al. Dec 2009 B1
7638704 Ludwig Dec 2009 B2
7641865 Tonkovich et al. Jan 2010 B2
7646029 Mueller et al. Jan 2010 B2
7646607 Gallina et al. Jan 2010 B2
7650319 Hoffberg et al. Jan 2010 B2
7652208 Ludwig Jan 2010 B1
7655341 Strobel et al. Feb 2010 B2
7689283 Schecter Mar 2010 B1
7696890 Bandholz et al. Apr 2010 B2
7710424 Hutchins et al. May 2010 B1
7724258 Ebert et al. May 2010 B2
7727746 Foody et al. Jun 2010 B2
7728837 Szymanski et al. Jun 2010 B2
7733224 Tran Jun 2010 B2
7744855 Staniforth et al. Jun 2010 B2
7757866 McCutchen Jul 2010 B2
7759571 Ludwig Jul 2010 B2
7767902 Ludwig Aug 2010 B2
7769782 Gilbert et al. Aug 2010 B1
7772966 Turnbull et al. Aug 2010 B2
7778029 Ueno Aug 2010 B2
7782459 Holve Aug 2010 B2
7786370 Ludwig Aug 2010 B2
7804186 Freda Sep 2010 B2
7813822 Hoffberg Oct 2010 B1
7850862 Amrich et al. Dec 2010 B2
7856154 Young Dec 2010 B2
7857756 Warren et al. Dec 2010 B2
7871578 Schmidt Jan 2011 B2
7901939 Ismagliov et al. Mar 2011 B2
7904187 Hoffberg et al. Mar 2011 B2
7955504 Jovanovic et al. Jun 2011 B1
7959880 Tonkovich et al. Jun 2011 B2
7960640 Ludwig Jun 2011 B2
7965643 Gilbert et al. Jun 2011 B1
7966078 Hoffberg et al. Jun 2011 B2
7974714 Hoffberg Jul 2011 B2
7987003 Hoffberg et al. Jul 2011 B2
7987677 McCutchen Aug 2011 B2
8014150 Campbell et al. Sep 2011 B2
8025801 McCutchen Sep 2011 B2
8030565 Ludwig Oct 2011 B2
8030566 Ludwig Oct 2011 B2
8030567 Ludwig Oct 2011 B2
8030818 Nelson et al. Oct 2011 B2
8031060 Hoffberg et al. Oct 2011 B2
8032477 Hoffberg et al. Oct 2011 B1
8033933 Sullivan et al. Oct 2011 B2
8035024 Ludwig Oct 2011 B2
8037927 Schuette Oct 2011 B2
8040508 Holve Oct 2011 B2
8046313 Hoffberg et al. Oct 2011 B2
RE42882 Kearney Nov 2011 E
8069038 Malah et al. Nov 2011 B2
8080819 Mueller et al. Dec 2011 B2
8089173 Freda Jan 2012 B2
8101160 Staniforth et al. Jan 2012 B2
8103333 Tran Jan 2012 B2
8108036 Tran Jan 2012 B2
8110103 Mormino et al. Feb 2012 B2
8111261 Perlin Feb 2012 B1
8114438 Pipkin et al. Feb 2012 B2
8116024 Erden Feb 2012 B2
8116841 Bly et al. Feb 2012 B2
8137216 Sullivan et al. Mar 2012 B2
8137554 Jovanovic et al. Mar 2012 B2
8165916 Hoffberg et al. Apr 2012 B2
8167826 Oohashi et al. May 2012 B2
8178990 Freda May 2012 B2
8182573 Stark et al. May 2012 B2
8203840 Lin et al. Jun 2012 B2
8207821 Roberge et al. Jun 2012 B2
8208698 Bogdan Jun 2012 B2
8210171 Denny et al. Jul 2012 B2
8223062 Bunch et al. Jul 2012 B2
8228671 Ikeda Jul 2012 B2
8249686 Libbus et al. Aug 2012 B2
8258206 Kanagasabapathy et al. Sep 2012 B2
8262909 Angelescu et al. Sep 2012 B2
8268136 McCutchen et al. Sep 2012 B2
8273245 Jovanovic et al. Sep 2012 B2
8273330 York et al. Sep 2012 B2
8273573 Ismagilov et al. Sep 2012 B2
8280641 Pellionisz Oct 2012 B1
8285356 Bly et al. Oct 2012 B2
8289710 Spearing et al. Oct 2012 B2
8295046 St. Rock et al. Oct 2012 B2
8304193 Ismagilov et al. Nov 2012 B2
8323188 Tran Dec 2012 B2
8329407 Ismagilov et al. Dec 2012 B2
8352400 Hoffberg et al. Jan 2013 B2
8361622 Gottschalk-Gaudig et al. Jan 2013 B2
8364136 Hoffberg et al. Jan 2013 B2
8369967 Hoffberg et al. Feb 2013 B2
8371291 Haroutunian Feb 2013 B2
8374688 Libbus et al. Feb 2013 B2
8385066 Chang et al. Feb 2013 B2
8388401 Lanahan Mar 2013 B2
8395276 Freda Mar 2013 B2
8395629 Kilpatrick et al. Mar 2013 B1
8396700 Chakrabarty et al. Mar 2013 B2
8400766 Kim Mar 2013 B2
8402490 Hoffberg-Borghesani et al. Mar 2013 B2
8409807 Neely et al. Apr 2013 B2
8412317 Mazar Apr 2013 B2
8414182 Paul et al. Apr 2013 B2
8416297 Finn et al. Apr 2013 B2
8449471 Tran May 2013 B2
8460126 Sullivan et al. Jun 2013 B2
8460189 Libbus et al. Jun 2013 B2
8474264 McCutchen Jul 2013 B2
8475616 McCutchen Jul 2013 B2
8482146 Freda Jul 2013 B2
8484000 Gulati Jul 2013 B2
8491683 Brown-Fitzpatrick et al. Jul 2013 B1
8492164 Fitzgerald et al. Jul 2013 B2
8506674 Brown-Fitzpatrick et al. Aug 2013 B1
8506799 Jorden et al. Aug 2013 B2
8516266 Hoffberg et al. Aug 2013 B2
8519250 Ludwig Aug 2013 B2
8525673 Tran Sep 2013 B2
8525687 Tran Sep 2013 B2
8531291 Tran Sep 2013 B2
8539840 Ariessohn et al. Sep 2013 B2
8547519 Streefkerk et al. Oct 2013 B2
8568330 Mollicone et al. Oct 2013 B2
8577184 Young Nov 2013 B2
8578494 Engler et al. Nov 2013 B1
8583263 Hoffberg et al. Nov 2013 B2
8591430 Amurthur et al. Nov 2013 B2
8595001 Malah et al. Nov 2013 B2
8598730 Freda Dec 2013 B2
8600830 Hoffberg Dec 2013 B2
8602599 Zimmer et al. Dec 2013 B2
8608838 Wong et al. Dec 2013 B2
8621867 Galbraith Jan 2014 B2
8623212 Irvin, Sr. et al. Jan 2014 B2
8633437 Dantus et al. Jan 2014 B2
8634056 Streefkerk et al. Jan 2014 B2
8636910 Irvin, Sr. et al. Jan 2014 B2
8641194 Primeau et al. Feb 2014 B2
8666196 Young Mar 2014 B2
8680991 Tran Mar 2014 B2
8684900 Tran Apr 2014 B2
8684925 Manicka et al. Apr 2014 B2
8695431 Pearce Apr 2014 B2
8707729 Schmidt et al. Apr 2014 B2
8718752 Libbus et al. May 2014 B2
8725676 Engler et al. May 2014 B1
8725677 Engler et al. May 2014 B1
8750971 Tran Jun 2014 B2
8764243 Zimmer et al. Jul 2014 B2
8764651 Tran Jul 2014 B2
8771499 McCutchen et al. Jul 2014 B2
8784540 Rubit et al. Jul 2014 B2
8790257 Libbus et al. Jul 2014 B2
8790259 Katra et al. Jul 2014 B2
8794927 Vassilicos Aug 2014 B2
8808113 Aoyama et al. Aug 2014 B2
8822148 Ismagliov et al. Sep 2014 B2
8839527 Ben-Shmuel et al. Sep 2014 B2
8859876 Ludwig Oct 2014 B2
8861075 Dantus et al. Oct 2014 B2
8873168 Boone Oct 2014 B2
8874477 Hoffberg Oct 2014 B2
8877072 Sahai et al. Nov 2014 B2
8882552 Lambert Nov 2014 B2
8883423 Neely Nov 2014 B2
8889083 Ismagilov et al. Nov 2014 B2
8892495 Hoffberg et al. Nov 2014 B2
8897868 Mazar et al. Nov 2014 B2
8937399 Freda Jan 2015 B2
8939081 Smith et al. Jan 2015 B1
8940361 Smith et al. Jan 2015 B2
8947430 Green et al. Feb 2015 B1
8948253 Reckwerdt et al. Feb 2015 B2
8961667 McCutchen et al. Feb 2015 B2
8965498 Katra et al. Feb 2015 B2
8968585 Malik et al. Mar 2015 B2
8977588 Engler et al. Mar 2015 B1
9011646 McCutchen et al. Apr 2015 B2
9023216 Kochergin et al. May 2015 B2
9028405 Tran May 2015 B2
9045651 Chen et al. Jun 2015 B2
9046493 Neely et al. Jun 2015 B2
9061267 Gottschall et al. Jun 2015 B2
9062263 Sevastyanov Jun 2015 B2
9067821 Bleecher et al. Jun 2015 B2
9085019 Zhang et al. Jul 2015 B2
9090890 Malik et al. Jul 2015 B2
9090891 Madero et al. Jul 2015 B2
9091865 Hofmann et al. Jul 2015 B2
9098889 Zhao et al. Aug 2015 B2
9107586 Tran Aug 2015 B2
9121801 Clark et al. Sep 2015 B2
9125566 Libbus et al. Sep 2015 B2
9125574 Zia et al. Sep 2015 B2
9134079 Tonkovich et al. Sep 2015 B2
9134622 Streefkerk et al. Sep 2015 B2
9134623 Streefkerk et al. Sep 2015 B2
9137548 Li et al. Sep 2015 B2
9138699 Kulkarni et al. Sep 2015 B2
9155849 Haroutunian Oct 2015 B2
9165717 Yializis et al. Oct 2015 B1
9167633 Ben-Shmuel et al. Oct 2015 B2
9169014 Elson et al. Oct 2015 B2
9173615 Katra et al. Nov 2015 B2
9186089 Mazar et al. Nov 2015 B2
9197904 Li et al. Nov 2015 B2
9204796 Tran Dec 2015 B2
9207341 Pearce Dec 2015 B2
9228785 Poltorak Jan 2016 B2
9233862 Bose et al. Jan 2016 B2
9239951 Hoffberg et al. Jan 2016 B2
9248501 Johannes et al. Feb 2016 B1
9254496 Dhiman et al. Feb 2016 B2
9256001 Pearce Feb 2016 B2
9262723 Luvalle Feb 2016 B2
9278362 Wells et al. Mar 2016 B2
9278374 Wohl, Jr. et al. Mar 2016 B2
9279073 Bleecher et al. Mar 2016 B2
9284520 Malik et al. Mar 2016 B2
9292916 Rowe Mar 2016 B2
9309162 Azimi et al. Apr 2016 B2
9311670 Hoffberg Apr 2016 B2
9314181 Brockway et al. Apr 2016 B2
9320443 Libbus et al. Apr 2016 B2
9326697 Linker May 2016 B2
9329107 Ismagilov et al. May 2016 B2
9339459 York et al. May 2016 B2
9339616 Denny et al. May 2016 B2
9340802 Trevethick May 2016 B2
9351928 Staniforth et al. May 2016 B2
9355774 Mathieu et al. May 2016 B2
9360457 Neely et al. Jun 2016 B2
9371173 Smith et al. Jun 2016 B2
9381528 Dhiman et al. Jul 2016 B2
9389204 Cloutier et al. Jul 2016 B2
9411936 Landrum et al. Aug 2016 B2
9416343 Malik et al. Aug 2016 B2
9427676 Howard Aug 2016 B2
9427679 Mahmoudi et al. Aug 2016 B2
9430869 Kilpatrick et al. Aug 2016 B1
9440171 McCutchen Sep 2016 B2
9451897 Mazar et al. Sep 2016 B2
9458399 Wei et al. Oct 2016 B2
9469553 Irvin, Sr. Oct 2016 B2
9475026 Fitzgerald et al. Oct 2016 B2
9488648 Neely et al. Nov 2016 B2
9498934 Paxson et al. Nov 2016 B2
9500855 Rossbach Nov 2016 B2
9503696 Tillotson Nov 2016 B2
9518291 Malik et al. Dec 2016 B2
9535563 Hoffberg et al. Jan 2017 B2
9538960 Mazar et al. Jan 2017 B2
9549691 Tran Jan 2017 B2
RE46310 Hoffberg et al. Feb 2017 E
9579020 Libbus et al. Feb 2017 B2
9579622 Ismagilov et al. Feb 2017 B2
9580742 Kelley et al. Feb 2017 B2
9585757 Slocum, Jr. et al. Mar 2017 B2
9592506 Ismagilov et al. Mar 2017 B2
9599269 Malik Mar 2017 B2
9611556 McCutchen et al. Apr 2017 B2
9618438 Jorden Apr 2017 B2
9625075 Smith et al. Apr 2017 B2
9643877 Sekhar et al. May 2017 B2
9648313 Henry et al. May 2017 B1
9650661 Witcher et al. May 2017 B2
9675270 Sarkar Jun 2017 B2
9676684 Duerr et al. Jun 2017 B2
9682225 Rubinson et al. Jun 2017 B2
9683756 Barmore Jun 2017 B2
9684011 Barille Jun 2017 B2
9700529 York et al. Jul 2017 B2
9702852 Lowery, Jr. et al. Jul 2017 B2
9706956 Brockway et al. Jul 2017 B2
9709028 Freda Jul 2017 B2
9713431 Brockway et al. Jul 2017 B2
9714940 Lowery, Jr. et al. Jul 2017 B2
9727042 Hoffberg-Borghesani et al. Aug 2017 B2
9738046 Parker et al. Aug 2017 B2
9748628 Hiller Aug 2017 B1
9770182 Bly et al. Sep 2017 B2
9775520 Tran Oct 2017 B2
9775694 Tutak Oct 2017 B2
9791170 Van Der Merwe Oct 2017 B2
9800323 Auricchio, Jr. et al. Oct 2017 B2
9803623 Burkle Oct 2017 B2
9816705 Martin et al. Nov 2017 B2
9818136 Hoffberg Nov 2017 B1
9820658 Tran Nov 2017 B2
9827963 Fletcher et al. Nov 2017 B2
9834464 Hawthorne Dec 2017 B1
9836667 Dickrell, III et al. Dec 2017 B2
9839893 Ismagilov et al. Dec 2017 B2
9851145 McCutchen et al. Dec 2017 B2
9855752 Williams et al. Jan 2018 B2
9868108 Gottschall et al. Jan 2018 B2
9872345 Ben-Shmuel et al. Jan 2018 B2
9889446 Ismagilov et al. Feb 2018 B2
9901252 Tran Feb 2018 B2
9907473 Tran Mar 2018 B2
9926478 Bleecher et al. Mar 2018 B2
9938390 Storti et al. Apr 2018 B2
9947481 Solomon et al. Apr 2018 B2
9952148 Georgakoudi et al. Apr 2018 B2
9952515 Streefkerk et al. Apr 2018 B2
9961812 Suorsa May 2018 B2
9968933 Ismagilov et al. May 2018 B2
9975064 Mahmoudi et al. May 2018 B2
9993948 Zhang et al. Jun 2018 B2
20010031238 Omaru et al. Oct 2001 A1
20010032814 Kearney et al. Oct 2001 A1
20010053741 Micco et al. Dec 2001 A1
20010056316 Johnson et al. Dec 2001 A1
20020005108 Ludwig Jan 2002 A1
20020010710 Binnig Jan 2002 A1
20020032510 Turnbull et al. Mar 2002 A1
20020056358 Ludwig May 2002 A1
20020058469 Pinheiro et al. May 2002 A1
20020080563 Pence et al. Jun 2002 A1
20020015150 Armstrong et al. Jul 2002 A1
20020107638 Intriligator et al. Aug 2002 A1
20020113719 Muller et al. Aug 2002 A1
20020128554 Seward Sep 2002 A1
20020151992 Hoffberg et al. Oct 2002 A1
20020196706 Kearney Dec 2002 A1
20030041801 Hehmann Mar 2003 A1
20030050219 Micco et al. Mar 2003 A1
20030065401 Amrich et al. Apr 2003 A1
20030093278 Malah May 2003 A1
20030093279 Malah et al. May 2003 A1
20030094141 Davis May 2003 A1
20030100824 Warren et al. May 2003 A1
20030137442 Baliarda Jul 2003 A1
20030155110 Joshi et al. Aug 2003 A1
20030156738 Gerson et al. Aug 2003 A1
20030160457 Ragwitz et al. Aug 2003 A1
20030162835 Staniforth et al. Aug 2003 A1
20030165436 Staniforth et al. Sep 2003 A1
20030171667 Seward Sep 2003 A1
20030182246 Johnson et al. Sep 2003 A1
20030183368 Paradis et al. Oct 2003 A1
20030184450 Muller et al. Oct 2003 A1
20030207338 Sklar et al. Nov 2003 A1
20030220740 Intriligator et al. Nov 2003 A1
20030232020 York et al. Dec 2003 A1
20040006566 Taylor et al. Jan 2004 A1
20040065187 Ludwig Apr 2004 A1
20040069125 Ludwig Apr 2004 A1
20040069126 Ludwig Apr 2004 A1
20040069127 Ludwig Apr 2004 A1
20040069128 Ludwig Apr 2004 A1
20040069129 Ludwig Apr 2004 A1
20040069131 Ludwig Apr 2004 A1
20040074379 Ludwig Apr 2004 A1
20040078219 Kaylor et al. Apr 2004 A1
20040094021 Ludwig May 2004 A1
20040099127 Ludwig May 2004 A1
20040099128 Ludwig May 2004 A1
20040099129 Ludwig May 2004 A1
20040099131 Ludwig May 2004 A1
20040104934 Fager et al. Jun 2004 A1
20040118268 Ludwig Jun 2004 A1
20040123864 Hickey et al. Jul 2004 A1
20040129641 Paananen et al. Jul 2004 A1
20040131688 Dov et al. Jul 2004 A1
20040140252 Gebauer Jul 2004 A1
20040150666 Fager et al. Aug 2004 A1
20040150818 Armstrong et al. Aug 2004 A1
20040163528 Ludwig Aug 2004 A1
20040166414 Omaru et al. Aug 2004 A1
20040171939 May et al. Sep 2004 A1
20040182855 Centanni Sep 2004 A1
20040187861 Harrison et al. Sep 2004 A1
20040213084 Kearney Oct 2004 A1
20040217011 Strobel et al. Nov 2004 A1
20040243328 Rapp et al. Dec 2004 A1
20040253365 Warren et al. Dec 2004 A1
20050000879 Kearney et al. Jan 2005 A1
20050003737 Montierth et al. Jan 2005 A1
20050008179 Quinn Jan 2005 A1
20050011829 Dong et al. Jan 2005 A1
20050061221 Paszkowski Mar 2005 A1
20050077227 Kirker Apr 2005 A1
20050087122 Ismagliov et al. Apr 2005 A1
20050087767 Fitzgerald et al. Apr 2005 A1
20050095168 Centanni et al. May 2005 A1
20050101841 Kaylor et al. May 2005 A9
20050106310 Green et al. May 2005 A1
20050116336 Chopra et al. Jun 2005 A1
20050120870 Ludwig Jun 2005 A1
20050126373 Ludwig Jun 2005 A1
20050126374 Ludwig Jun 2005 A1
20050128751 Roberge et al. Jun 2005 A1
20050131089 Kocon et al. Jun 2005 A1
20050137032 Aoyama et al. Jun 2005 A1
20050159894 Intriligator et al. Jul 2005 A1
20050174473 Morgan et al. Aug 2005 A1
20050187759 Malah et al. Aug 2005 A1
20050220681 Chang et al. Oct 2005 A1
20050245659 Chen Nov 2005 A1
20050248299 Chemel et al. Nov 2005 A1
20050265915 Tonkovich et al. Dec 2005 A1
20050267685 Intriligator et al. Dec 2005 A1
20050272110 Drukier Dec 2005 A1
20050272159 Ismagilov et al. Dec 2005 A1
20050275626 Mueller et al. Dec 2005 A1
20060002110 Dowling et al. Jan 2006 A1
20060011326 Yuval Jan 2006 A1
20060022214 Morgan et al. Feb 2006 A1
20060024435 Holunga et al. Feb 2006 A1
20060025245 Aoyama et al. Feb 2006 A1
20060032364 Ludwig Feb 2006 A1
20060037177 Blum et al. Feb 2006 A1
20060072289 Rutledge et al. Apr 2006 A1
20060087509 Ebert et al. Apr 2006 A1
20060090632 Ludwig May 2006 A1
20060097855 Turnbull et al. May 2006 A1
20060113065 Wolford et al. Jun 2006 A1
20060124550 Paananen et al. Jun 2006 A1
20060129161 Amrich et al. Jun 2006 A1
20060148591 Hebert et al. Jul 2006 A1
20060154352 Foody et al. Jul 2006 A1
20060155398 Hoffberg et al. Jul 2006 A1
20060165898 Kodas et al. Jul 2006 A1
20060167784 Hoffberg Jul 2006 A1
20060172824 Nardacci et al. Aug 2006 A1
20060191534 Hickey et al. Aug 2006 A1
20060200253 Hoffberg et al. Sep 2006 A1
20060200258 Hoffberg et al. Sep 2006 A1
20060200259 Hoffberg et al. Sep 2006 A1
20060200260 Hoffberg et al. Sep 2006 A1
20060237178 Katoh et al. Oct 2006 A1
20060245987 Schmidt Nov 2006 A1
20060260638 Fani et al. Nov 2006 A1
20060262876 LaDue Nov 2006 A1
20060275185 Tonkovich et al. Dec 2006 A1
20070016476 Hoffberg et al. Jan 2007 A1
20070032733 Burton Feb 2007 A1
20070041159 Bate Feb 2007 A1
20070053513 Hoffberg Mar 2007 A1
20070055151 Shertukde et al. Mar 2007 A1
20070058346 Yeh Mar 2007 A1
20070059763 Okano et al. Mar 2007 A1
20070061022 Hoffberg-Borghesani et al. Mar 2007 A1
20070061023 Hoffberg et al. Mar 2007 A1
20070061735 Hoffberg et al. Mar 2007 A1
20070070038 Hoffberg et al. Mar 2007 A1
20070087756 Hoffberg Apr 2007 A1
20070145915 Roberge et al. Jun 2007 A1
20070172954 Ismagilov et al. Jul 2007 A1
20070175472 Pipkin et al. Aug 2007 A1
20070189026 Chemel et al. Aug 2007 A1
20070191740 Shertukde et al. Aug 2007 A1
20070206016 Szymanski et al. Sep 2007 A1
20070206023 Street et al. Sep 2007 A1
20070221218 Warden et al. Sep 2007 A1
20070230135 Feger et al. Oct 2007 A1
20070236406 Wen et al. Oct 2007 A1
20070239003 Shertukde et al. Oct 2007 A1
20070242955 Kavehrad Oct 2007 A1
20070258329 Winey Nov 2007 A1
20070273504 Tran Nov 2007 A1
20070276270 Tran Nov 2007 A1
20070297285 Cross et al. Dec 2007 A1
20070299292 Cross et al. Dec 2007 A1
20080001735 Tran Jan 2008 A1
20080004904 Tran Jan 2008 A1
20080013747 Tran Jan 2008 A1
20080017219 Franklin Jan 2008 A1
20080024923 Tomimoto et al. Jan 2008 A1
20080040749 Hoffberg et al. Feb 2008 A1
20080043029 Nardacci et al. Feb 2008 A1
20080080137 Otsuki et al. Apr 2008 A1
20080103655 Turnbull et al. May 2008 A1
20080108122 Paul et al. May 2008 A1
20080115916 Schuette May 2008 A1
20080121373 Wang et al. May 2008 A1
20080121374 Wang et al. May 2008 A1
20080135211 Yassour Jun 2008 A1
20080145633 Kodas et al. Jun 2008 A1
20080149304 Slaughter Jun 2008 A1
20080151694 Slater Jun 2008 A1
20080168987 Denny et al. Jul 2008 A1
20080173059 Gautreau et al. Jul 2008 A1
20080192576 Vosburgh et al. Aug 2008 A1
20080233356 Loher et al. Sep 2008 A1
20080268246 Stark et al. Oct 2008 A1
20080281238 Oohashi et al. Nov 2008 A1
20080294019 Tran Nov 2008 A1
20090004074 Tonkovich et al. Jan 2009 A1
20090016019 Bandholz et al. Jan 2009 A1
20090017941 Sullivan et al. Jan 2009 A1
20090021270 Bandholz et al. Jan 2009 A1
20090021513 Joshi et al. Jan 2009 A1
20090032104 Lee et al. Feb 2009 A1
20090042200 Okano et al. Feb 2009 A1
20090042739 Okano et al. Feb 2009 A1
20090045967 Bandholz et al. Feb 2009 A1
20090050293 Kuo Feb 2009 A1
20090071624 Zhang et al. Mar 2009 A1
20090074627 Fitzgerald et al. Mar 2009 A1
20090079981 Holve Mar 2009 A1
20090135042 Umishita et al. May 2009 A1
20090146435 Freda Jun 2009 A1
20090159461 McCutchen et al. Jun 2009 A1
20090161312 Spearing et al. Jun 2009 A1
20090162853 Clark et al. Jun 2009 A1
20090162920 Vanhoutte et al. Jun 2009 A1
20090166273 Mormino et al. Jul 2009 A1
20090181805 Sullivan et al. Jul 2009 A1
20090200176 McCutchen et al. Aug 2009 A1
20090207087 Fang et al. Aug 2009 A1
20090208582 Johnston et al. Aug 2009 A1
20090217691 Schmidt et al. Sep 2009 A1
20090227876 Tran Sep 2009 A1
20090236333 Ben-Shmuel et al. Sep 2009 A1
20090236334 Ben-Shmuel et al. Sep 2009 A1
20090236335 Ben-Shmuel et al. Sep 2009 A1
20090241545 McCutchen Oct 2009 A1
20090245017 Paul et al. Oct 2009 A1
20090272404 Kim Nov 2009 A1
20090274549 Mitchell et al. Nov 2009 A1
20090318779 Tran Dec 2009 A1
20090321045 Hernon et al. Dec 2009 A1
20090321047 Chen Dec 2009 A1
20090325215 Okano et al. Dec 2009 A1
20100012586 Angelescu et al. Jan 2010 A1
20100016568 Okano et al. Jan 2010 A1
20100016569 Okano et al. Jan 2010 A1
20100018862 Okano et al. Jan 2010 A1
20100021634 Kodas et al. Jan 2010 A1
20100021725 Gottschalk-Gaudig Jan 2010 A1
20100021933 Okano et al. Jan 2010 A1
20100042408 Malah et al. Feb 2010 A1
20100063393 Moradi et al. Mar 2010 A1
20100073477 Finn et al. Mar 2010 A1
20100076642 Hoffberg et al. Mar 2010 A1
20100085713 Balandin et al. Apr 2010 A1
20100089549 Su et al. Apr 2010 A1
20100094152 Semmlow Apr 2010 A1
20100100328 Moore et al. Apr 2010 A1
20100101181 Hamm-Dubischar Apr 2010 A1
20100110826 D'herde May 2010 A1
20100115785 Ben-Shmuel et al. May 2010 A1
20100115947 Galbraith May 2010 A1
20100136676 Vanhoutte et al. Jun 2010 A1
20100150718 Freda Jun 2010 A1
20100151267 Kodas et al. Jun 2010 A1
20100171145 Morgan et al. Jul 2010 A1
20100195868 Lu Aug 2010 A1
20100196811 Gottschalk-Gaudig et al. Aug 2010 A1
20100202071 Preumont et al. Aug 2010 A1
20100208065 Heiner et al. Aug 2010 A1
20100219296 Shelman-Cohen Sep 2010 A1
20100221343 Johnston et al. Sep 2010 A1
20100221819 Foody et al. Sep 2010 A1
20100226202 Vassilicos et al. Sep 2010 A1
20100233026 Ismagliov et al. Sep 2010 A1
20100235285 Hoffberg Sep 2010 A1
20100236236 Mankame et al. Sep 2010 A1
20100252648 Robinson Oct 2010 A1
20100258198 Tonkovich et al. Oct 2010 A1
20100277733 Holve Nov 2010 A1
20100285142 Staniforth et al. Nov 2010 A1
20100287822 Wei et al. Nov 2010 A1
20100302093 Bunch et al. Dec 2010 A1
20100307665 McCutchen Dec 2010 A1
20100317420 Hoffberg Dec 2010 A1
20110004513 Hoffberg Jan 2011 A1
20110029922 Hoffberg et al. Feb 2011 A1
20110031236 Ben-Shmuel et al. Feb 2011 A1
20110032632 Erden Feb 2011 A1
20110039078 Brennan Fournet et al. Feb 2011 A1
20110049904 Freda Mar 2011 A1
20110060533 Jorden et al. Mar 2011 A1
20110075903 Turiel Martinez Mar 2011 A1
20110080802 Vassilicos et al. Apr 2011 A1
20110092817 Cloutier et al. Apr 2011 A1
20110109910 Georgakoudi et al. May 2011 A1
20110115624 Tran May 2011 A1
20110142734 Ismagliov et al. Jun 2011 A1
20110152729 Oohashi et al. Jun 2011 A1
20110156896 Hoffberg et al. Jun 2011 A1
20110167110 Hoffberg et al. Jul 2011 A1
20110174462 Arik et al. Jul 2011 A1
20110174622 Ismagilov et al. Jul 2011 A1
20110176966 Ismagilov et al. Jul 2011 A1
20110177494 Ismagilov et al. Jul 2011 A1
20110177586 Ismagilov et al. Jul 2011 A1
20110177609 Ismagilov et al. Jul 2011 A1
20110179950 Wong et al. Jul 2011 A1
20110181422 Tran Jul 2011 A1
20110226460 Sommer Sep 2011 A1
20110253629 Jovanovic et al. Oct 2011 A1
20110265480 McCutchen Nov 2011 A1
20110280019 Zimmer et al. Nov 2011 A1
20110311769 Chen et al. Dec 2011 A1
20120009668 Hass Jan 2012 A1
20120017232 Hoffberg et al. Jan 2012 A1
20120026506 Primeau et al. Feb 2012 A1
20120031272 Rubit et al. Feb 2012 A1
20120035767 Runkana et al. Feb 2012 A1
20120036016 Hoffberg et al. Feb 2012 A1
20120040778 Aoyama et al. Feb 2012 A1
20120043037 Polat et al. Feb 2012 A1
20120057974 Freda Mar 2012 A1
20120064243 Akay et al. Mar 2012 A1
20120074051 Gebauer et al. Mar 2012 A1
20120074062 Jovanovic et al. Mar 2012 A1
20120088608 Sullivan et al. Apr 2012 A1
20120092157 Tran Apr 2012 A1
20120095352 Tran Apr 2012 A1
20120097591 Berthold et al. Apr 2012 A1
20120114709 Staniforth et al. May 2012 A1
20120116769 Malah et al. May 2012 A1
20120142814 Kanagasabapathy et al. Jun 2012 A1
20120150651 Hoffberg et al. Jun 2012 A1
20120160030 Pearce Jun 2012 A1
20120161580 Pearce Jun 2012 A1
20120163119 Pearce Jun 2012 A1
20120163120 Pearce Jun 2012 A1
20120164184 Pipkin et al. Jun 2012 A1
20120164644 Neely et al. Jun 2012 A1
20120168389 Kochergin et al. Jul 2012 A1
20120174650 Ariessohn et al. Jul 2012 A1
20120193221 McCutchen et al. Aug 2012 A1
20120193923 Freda Aug 2012 A1
20120196336 McCutchen et al. Aug 2012 A1
20120255548 Denny et al. Oct 2012 A1
20120261514 Boone Oct 2012 A1
20120285660 Poltorak Nov 2012 A1
20120292246 Jovanovic et al. Nov 2012 A1
20120293952 Herring et al. Nov 2012 A1
20120298037 Paul et al. Nov 2012 A1
20120301888 Neely et al. Nov 2012 A1
20120318671 McCutchen et al. Dec 2012 A1
20120329171 Ismagliov et al. Dec 2012 A1
20120330109 Tran Dec 2012 A1
20130001090 Rubinson et al. Jan 2013 A1
20130009783 Tran Jan 2013 A1
20130010257 Primeau et al. Jan 2013 A1
20130029345 Neely et al. Jan 2013 A1
20130042893 Ariessohn et al. Feb 2013 A1
20130056460 Ben-Shmuel et al. Mar 2013 A1
20130095494 Neely Apr 2013 A1
20130101995 Rustem et al. Apr 2013 A1
20130147598 Hoffberg et al. Jun 2013 A1
20130155687 Zimmer et al. Jun 2013 A1
20130156091 Li et al. Jun 2013 A1
20130156092 Li et al. Jun 2013 A1
20130156095 Li et al. Jun 2013 A1
20130167441 Sevastyanov Jul 2013 A1
20130170999 Vassilicos Jul 2013 A1
20130172691 Tran Jul 2013 A1
20130182214 Hofmann et al. Jul 2013 A1
20130197105 Pipkin et al. Aug 2013 A1
20130202182 Rowe Aug 2013 A1
20130206165 Busnaina et al. Aug 2013 A1
20130208560 Kulkarni et al. Aug 2013 A1
20130214539 Freda Aug 2013 A1
20130231574 Tran Sep 2013 A1
20130231906 Luvalle Sep 2013 A1
20130244238 Neely et al. Sep 2013 A1
20130252373 Siau et al. Sep 2013 A1
20130252848 Okano et al. Sep 2013 A1
20130260367 Lowery, Jr. et al. Oct 2013 A1
20130266944 Neely et al. Oct 2013 A1
20130273522 Lowery, Jr. et al. Oct 2013 A1
20130273523 Neely et al. Oct 2013 A1
20130274712 Schecter Oct 2013 A1
20130284830 Wells et al. Oct 2013 A1
20130286666 Bakk Oct 2013 A1
20130299148 Hernon et al. Nov 2013 A1
20130299415 McCutchen Nov 2013 A1
20130309778 Lowe et al. Nov 2013 A1
20130312638 Parker et al. Nov 2013 A1
20130312787 Suzuki Nov 2013 A1
20130322471 Rossbach Dec 2013 A1
20130334824 Freda Dec 2013 A1
20130335731 Jorden Dec 2013 A1
20130339216 Lambert Dec 2013 A1
20140005364 Gottschall et al. Jan 2014 A1
20140021288 Elson et al. Jan 2014 A1
20140037958 Gerber Feb 2014 A1
20140046023 Gottschall et al. Feb 2014 A1
20140057210 Malik et al. Feb 2014 A1
20140057277 Malik et al. Feb 2014 A1
20140057278 Madero et al. Feb 2014 A1
20140057279 Malik et al. Feb 2014 A1
20140077946 Tran Mar 2014 A1
20140079782 York et al. Mar 2014 A1
20140089241 Hoffberg et al. Mar 2014 A1
20140096763 Barmore Apr 2014 A1
20140098542 Zimmer et al. Apr 2014 A1
20140111671 Cao et al. Apr 2014 A1
20140120523 Lowery, Jr. et al. May 2014 A1
20140127790 Malik et al. May 2014 A1
20140127796 Malik et al. May 2014 A1
20140134678 Foody et al. May 2014 A1
20140143064 Tran May 2014 A1
20140163425 Tran Jun 2014 A1
20140166575 Bose et al. Jun 2014 A1
20140170646 Kelley et al. Jun 2014 A1
20140173452 Hoffberg et al. Jun 2014 A1
20140180153 Zia et al. Jun 2014 A1
20140207463 Nakanishi Jul 2014 A1
20140212006 Zhao et al. Jul 2014 A1
20140217331 Hata et al. Aug 2014 A1
20140235965 Tran Aug 2014 A1
20140238012 Miller Aug 2014 A1
20140249429 Tran Sep 2014 A1
20140255205 Shelman-Cohen Sep 2014 A1
20140267123 Ludwig Sep 2014 A1
20140278158 Miller Sep 2014 A1
20140322515 Parker et al. Oct 2014 A1
20140325866 McCutchen et al. Nov 2014 A1
20140326277 Nettesheim et al. Nov 2014 A1
20140332081 Fitzgerald et al. Nov 2014 A1
20140336953 Johnson et al. Nov 2014 A1
20140338895 Paulsen Nov 2014 A1
20140345152 Ben-Shmuel et al. Nov 2014 A1
20140346055 McCutchen et al. Nov 2014 A1
20140360607 Fletcher et al. Dec 2014 A1
20140360699 van Schoor et al. Dec 2014 A1
20140362660 Pearce Dec 2014 A1
20140377826 Trevethick Dec 2014 A1
20150015869 Smith et al. Jan 2015 A1
20150068069 Tran et al. Mar 2015 A1
20150094914 Abreu Apr 2015 A1
20150099264 Ismagilov et al. Apr 2015 A1
20150105687 Abreu Apr 2015 A1
20150110599 Freda Apr 2015 A1
20150138355 Tillotson May 2015 A1
20150181685 Sekhar et al. Jun 2015 A1
20150183520 Elson Jul 2015 A1
20150203822 Tremolada et al. Jul 2015 A1
20150204559 Hoffberg et al. Jul 2015 A1
20150231635 Okano et al. Aug 2015 A1
20150251217 Wohl, Jr. et al. Sep 2015 A1
20150287141 Parker, Jr. Oct 2015 A1
20150291760 Storti et al. Oct 2015 A1
20150293140 Barille Oct 2015 A1
20150328601 Vassilicos Nov 2015 A1
20150342093 Poltorak Nov 2015 A1
20150353880 Clark et al. Dec 2015 A1
20150359467 Tran Dec 2015 A1
20150366006 Ben-Shmuel et al. Dec 2015 A1
20150377831 Wheeler et al. Dec 2015 A1
20160001108 Zhou et al. Jan 2016 A1
20160010778 Malik Jan 2016 A1
20160034422 Brandt Feb 2016 A1
20160051960 Ismagilov et al. Feb 2016 A1
20160129361 Howard May 2016 A1
20160138805 Martin et al. May 2016 A1
20160140834 Tran May 2016 A1
20160145397 Kornfield et al. May 2016 A1
20160154126 Pearce Jun 2016 A1
20160157978 Tutak Jun 2016 A1
20160160795 Miller Jun 2016 A1
20160215411 Ismagilov et al. Jul 2016 A1
20160243039 Staniforth et al. Aug 2016 A1
20160256059 Volkov et al. Sep 2016 A1
20160269099 Auricchio, Jr. et al. Sep 2016 A1
20160274271 Lukas et al. Sep 2016 A1
20160287166 Tran Oct 2016 A1
20160288124 Ismagilov et al. Oct 2016 A1
20160310031 Sarkar Oct 2016 A1
20160319110 Matheu et al. Nov 2016 A1
20160320149 Poltorak Nov 2016 A1
20160324806 York et al. Nov 2016 A1
20160328366 Elarian Nov 2016 A1
20160328620 Elarian Nov 2016 A1
20160333295 Baker et al. Nov 2016 A1
20160350920 Kassab Dec 2016 A1
20160360965 Tran Dec 2016 A1
20160367186 Freeman et al. Dec 2016 A1
20160375370 Howard Dec 2016 A1
20170009274 Abate et al. Jan 2017 A1
20170016414 Fletcher et al. Jan 2017 A1
20170024886 Dickrell et al. Jan 2017 A1
20170029111 Elson Feb 2017 A1
20170029730 Wei et al. Feb 2017 A1
20170036152 Li et al. Feb 2017 A1
20170045613 Wang Feb 2017 A1
20170056532 Freeman et al. Mar 2017 A1
20170081466 Kornfield et al. Mar 2017 A1
20170086672 Tran Mar 2017 A1
20170097197 Poltorak Apr 2017 A1
20170100817 Ganapathiappan et al. Apr 2017 A1
20170104426 Mills Apr 2017 A1
20170106349 Gottschall et al. Apr 2017 A1
20170106463 Sekhar Apr 2017 A1
20170136445 Ostraat et al. May 2017 A1
20170136603 Ganapathiappan et al. May 2017 A1
20170158047 Walkowski Jun 2017 A1
20170173957 Williams et al. Jun 2017 A1
20170175711 Burkle Jun 2017 A1
20170183955 Peacock et al. Jun 2017 A1
20170198401 Phillips Jul 2017 A1
20170203408 Ganapathiappan et al. Jul 2017 A1
20170228607 Elarian Aug 2017 A1
20170229375 Haj-Hariri et al. Aug 2017 A1
20170232440 Ismagilov et al. Aug 2017 A1
20170233668 Kornfield et al. Aug 2017 A1
20170233798 Neely et al. Aug 2017 A1
20170246510 Sullivan et al. Aug 2017 A1
20170251931 Prakash et al. Sep 2017 A1
20170251985 Howard Sep 2017 A1
20170253912 Kelley et al. Sep 2017 A1
20170273920 York et al. Sep 2017 A1
20170284359 Burkle Oct 2017 A1
20170347886 Tran Dec 2017 A1
20170354903 Kochergin et al. Dec 2017 A1
20170361321 Ismagilov et al. Dec 2017 A1
20170368551 Ismagilov et al. Dec 2017 A1
20170370387 Nino et al. Dec 2017 A1
20180000160 Taschner et al. Jan 2018 A1
20180002995 Dotson et al. Jan 2018 A1
20180003045 Dotson et al. Jan 2018 A1
20180017345 Poltorak Jan 2018 A1
20180019595 Bandi Jan 2018 A1
20180024264 Dotson et al. Jan 2018 A1
20180043875 Fletcher et al. Feb 2018 A1
20180055772 Staniforth et al. Mar 2018 A1
20180058595 Grayson et al. Mar 2018 A1
20180066232 Tremolada et al. Mar 2018 A1
20180068358 Hoffberg Mar 2018 A1
20180080567 Hampton et al. Mar 2018 A1
20180087443 Adriany et al. Mar 2018 A1
20180087701 Adriany et al. Mar 2018 A1
20180089905 Solenthaler et al. Mar 2018 A1
20180094214 Labib et al. Apr 2018 A1
20180098739 Freeman et al. Apr 2018 A1
20180107370 Ludwig Apr 2018 A1
20180118337 Viel May 2018 A1
20180119040 Waanders et al. May 2018 A1
20180119950 Martin et al. May 2018 A1
20180120269 Sinha et al. May 2018 A1
20180128240 Freda May 2018 A1
20180154362 Ismagilov et al. Jun 2018 A1
20180168459 Tran Jun 2018 A1
20180184907 Tran Jul 2018 A1
20180193837 Ismagilov et al. Jul 2018 A1
20180193838 Ismagilov et al. Jul 2018 A1
20180198517 Auricchio et al. Jul 2018 A1
20180206730 Abreu Jul 2018 A1
20180207863 Porter et al. Jul 2018 A1
20180216160 Abate et al. Aug 2018 A1
20180258773 Zuniga Sep 2018 A1
20180268085 Vassilicos et al. Sep 2018 A1
20180272351 Ismagilov et al. Sep 2018 A1
20180272352 Ismagilov et al. Sep 2018 A1
20180272426 Martin et al. Sep 2018 A1
20180280646 Freeman et al. Oct 2018 A1
20180284005 Oberreit Oct 2018 A1
20180298762 Shelman-Cohen Oct 2018 A1
20180298882 Burkle Oct 2018 A1
20180300569 Elarian Oct 2018 A1
20180300570 Elarian Oct 2018 A1
20180304268 Ismagilov et al. Oct 2018 A1
20180319951 Fruh et al. Nov 2018 A1
20180340743 Poltorak Nov 2018 A1
20180360999 Freeman et al. Dec 2018 A1
20190008552 Levin Jan 2019 A1
20190016859 Kornfield et al. Jan 2019 A1
20190021186 Poltorak Jan 2019 A1
20190030538 Ismagilov et al. Jan 2019 A1
20190038133 Tran Feb 2019 A1
20190041505 Moradi et al. Feb 2019 A1
20190054449 Bukhovko et al. Feb 2019 A1
20190076257 Dee et al. Mar 2019 A1
20190079905 Elarian Mar 2019 A1
20190085381 Neely et al. Mar 2019 A1
20190086154 Adriany et al. Mar 2019 A1
20190099641 Sullivan et al. Apr 2019 A1
20190110413 Li et al. Apr 2019 A1
20190114310 Elarian Apr 2019 A1
20190114557 Ashrafi Apr 2019 A1
20190117087 Yasunaga et al. Apr 2019 A1
20190117088 Nomura et al. Apr 2019 A1
20190117089 Nomura et al. Apr 2019 A1
20190117090 Ishii et al. Apr 2019 A1
20190117181 Ishii et al. Apr 2019 A1
20190117557 Johnston et al. Apr 2019 A1
20190125192 Kusu et al. May 2019 A1
20190125193 Saito et al. May 2019 A1
20190125194 Sekine et al. May 2019 A1
20190125287 Itou et al. May 2019 A1
20190144807 Baker et al. May 2019 A1
20190150867 Itou et al. May 2019 A1
20190153247 Velev et al. May 2019 A1
20190154854 Pearce May 2019 A1
20190202024 Ganapathiappan et al. Jul 2019 A1
20190209974 Zadaka-Amir et al. Jul 2019 A1
20190219025 Burkle Jul 2019 A1
20190234914 Williams et al. Aug 2019 A1
20190249115 Labib et al. Aug 2019 A1
20190255519 Ostraat et al. Aug 2019 A1
20190256070 Fletcher et al. Aug 2019 A1
20190270655 Jorden et al. Sep 2019 A1
20190299112 Howard Oct 2019 A1
20190307328 Tran Oct 2019 A1
20190337117 Ganapathiappan et al. Nov 2019 A1
20190344091 Fischer Nov 2019 A1
20190350880 York et al. Nov 2019 A1
Non-Patent Literature Citations (172)
Entry
U.S. Appl. No. 10/001,015, filed Jun. 19, 2018, Shelman-Cohen.
U.S. Appl. No. 10/010,870, filed Jul. 3, 2018, Ostraat et al.
U.S. Appl. No. 10/011,910, filed Jul. 3, 2018, Phillips.
U.S. Appl. No. 10/018,712, filed Jul. 10, 2018, Moradi et al.
U.S. Appl. No. 10/028,699, filed Jul. 24, 2018, Libbus et al.
U.S. Appl. No. 10/031,040, filed Jul. 24, 2018, Smith et al.
U.S. Appl. No. 10/041,005, filed Aug. 7, 2018, Van Der Merwe et al.
U.S. Appl. No. 10/041,745, filed Aug. 7, 2018, Poltorak.
U.S. Appl. No. 10/055,659, filed Aug. 21, 2018, Elarian.
U.S. Appl. No. 10/059,196, filed Aug. 28, 2018, Walkowski.
U.S. Appl. No. 10/059,977, filed Aug. 28, 2018, Witcher et al.
U.S. Appl. No. 10/080,264, filed Sep. 18, 2018, Ben-Shmuel et al.
U.S. Appl. No. 10/083,362, filed Sep. 25, 2018, Elarian.
U.S. Appl. No. 10/084,239, filed Sep. 25, 2018, Shaver et al.
U.S. Appl. No. 10/086,092, filed Oct. 2, 2018, Freeman et al.
U.S. Appl. No. 10/092,512, filed Oct. 9, 2018, Johnston et al.
U.S. Appl. No. 10/098,561, filed Oct. 16, 2018, Brockway et al.
U.S. Appl. No. 10/105,703, filed Oct. 23, 2018, Ismagilov et al.
U.S. Appl. No. 10/107,081, filed Oct. 23, 2018, Paulsen.
U.S. Appl. No. 10/117,940, filed Nov. 6, 2018, Pipkin et al.
U.S. Appl. No. 10/118,140, filed Nov. 6, 2018, Vassilicos.
U.S. Appl. No. 10/118,174, filed Nov. 6, 2018, Ismagilov et al.
U.S. Appl. No. 10/119,084, filed Nov. 6, 2018, Kornfield et al.
U.S. Appl. No. 10/140,262, filed Nov. 27, 2018, Elarian.
U.S. Appl. No. 10/143,893, filed Dec. 4, 2018, Sullivan et al.
U.S. Appl. No. 10/155,179, filed Dec. 18, 2018, Mahmoudi et al.
U.S. Appl. No. 10/164,704, filed Dec. 25, 2018, Auricchio et al.
U.S. Appl. No. 10/179,896, filed Jan. 15, 2019, Baker et al.
U.S. Appl. No. 10/185,882, filed Jan. 22, 2019, Elarian.
U.S. Appl. No. 10/188,614, filed Jan. 29, 2019, York et al.
U.S. Appl. No. 10/217,220, filed Feb. 26, 2019, Kassab.
U.S. Appl. No. 10/217,692, filed Feb. 26, 2019, Haj-Hariri et al.
U.S. Appl. No. 10/221,808, filed Mar. 5, 2019, Miller.
U.S. Appl. No. 10/223,786, filed Mar. 5, 2019, Dickrell, III et al.
U.S. Appl. No. 10/226,717, filed Mar. 12, 2019, Van Der Merwe et al.
U.S. Appl. No. 10/227,063, filed Mar. 12, 2019, Abreu.
U.S. Appl. No. 10/229,215, filed Mar. 12, 2019, Solenthaler et al.
U.S. Appl. No. 10/241,220, filed Mar. 26, 2019, Pearce.
U.S. Appl. No. 10/242,276, filed Mar. 26, 2019, Elarian.
U.S. Appl. No. 10/253,746, filed Apr. 9, 2019, Burkle.
U.S. Appl. No. 10/254,499, filed Apr. 9, 2019, Cohen et al.
U.S. Appl. No. 10/260,334, filed Apr. 16, 2019, Peacock et al.
U.S. Appl. No. 10/266,793, filed Apr. 23, 2019, Labib et al.
U.S. Appl. No. 10/267,515, filed Apr. 23, 2019, Adriany et al.
U.S. Appl. No. 10/282,841, filed May 7, 2019, Parsons-Wingerter et al.
U.S. Appl. No. 10/285,312, filed May 7, 2019, Suorsa.
U.S. Appl. No. 10/301,666, filed May 28, 2019, Kelley et al.
U.S. Appl. No. 10/307,060, filed Jun. 4, 2019, Tran.
U.S. Appl. No. 10/323,761, filed Jun. 18, 2019, Grayson et al.
U.S. Appl. No. 10/335,618, filed Jul. 2, 2019, Zhou et al.
U.S. Appl. No. 10/336,305, filed Jul. 2, 2019, Fletcher et al.
U.S. Appl. No. 10/338,631, filed Jul. 2, 2019, Jorden et al.
U.S. Appl. No. 10/345,712, filed Jul. 9, 2019, Streefkerk et al.
U.S. Appl. No. 10/352,171, filed Jul. 16, 2019, Shelman-Cohen.
U.S. Appl. No. 10/352,303, filed Jul. 16, 2019, Burkle.
U.S. Appl. No. 10/361,802, filed Jul. 23, 2019, Hoffberg-Borghesani et al.
U.S. Appl. No. 10/362,940, filed Jul. 30, 2019, Tran.
U.S. Appl. No. 10/365,200, filed Jul. 30, 2019, Liu et al.
U.S. Appl. No. 10/371,462, filed Aug. 6, 2019, Vos et al.
U.S. Appl. No. 10/387,583, filed Aug. 20, 2019, Tetzlaff et al.
U.S. Appl. No. 10/391,605, filed Aug. 27, 2019, Ganapathiappan et al.
U.S. Appl. No. 10/399,201, filed Sep. 3, 2019, Ganapathiappan et al.
U.S. Appl. No. 10/400,186, filed Sep. 3, 2019, Wei et al.
U.S. Appl. No. 10/405,809, filed Sep. 10, 2019, Manicka et al.
U.S. Appl. No. 10/407,790, filed Sep. 10, 2019, Johannes et al.
U.S. Appl. No. 10/408,064, filed Sep. 10, 2019, Zuniga.
U.S. Appl. No. 10/408,189, filed Sep. 10, 2019, Freda.
U.S. Appl. No. 10/422,351, filed Sep. 24, 2019, Fletcher et al.
U.S. Appl. No. 10/428,286, filed Oct. 1, 2019, Kornfield et al.
U.S. Appl. No. 10/432,871, filed Oct. 1, 2019, Cao et al.
U.S. Appl. No. 10/434,062, filed Oct. 8, 2019, Johnston et al.
U.S. Appl. No. 10/443,139, filed Oct. 15, 2019, Mills.
U.S. Appl. No. 10/451,761, filed Oct. 22, 2019, Dotson et al.
U.S. Appl. No. 10/452,752, filed Oct. 22, 2019, Elarian.
U.S. Appl. No. 10/461,018, filed Oct. 29, 2019, Vos et al.
U.S. Appl. No. 10/461,519, filed Oct. 29, 2019, Miller.
U.S. Appl. No. 10/467,330, filed Nov. 5, 2019, Elarian.
U.S. Appl. No. 10/472,470, filed Nov. 12, 2019, Kornfield et al.
U.S. Appl. No. 10/478,911, filed Nov. 19, 2019, Sekhar.
U.S. Appl. No. 10/480,481, filed Nov. 19, 2019, Burkle.
U.S. Appl. No. 10/492,247, filed Nov. 26, 2019, Ben-Shmuel et al.
Alharbi, Ali Y., Deborah V. Pence, and Rebecca N. Cullion. “Thermal characteristics of microscale fractal-like branching channels.” Journal of Heat Transfer 126.5 (2004): 744-752.
Andrews, Earl H. “Scramjet development and testing in the United States”, AIAA paper 1927 (2001): 2001.
Arovas, Daniel, Lecture Notes on Thermodynamics and Statistical Mechanics (A Work in Progress), Department of Physics, University of California, San Diego, Nov. 14, 2013.
Azar, A, et al., 2009, “Heat sink testing methods and common oversights”, Qpedia Thermal E-Magazine, Jan. 2009.
Balasubramania, K. et al, Pressure Drop Characteristics and Instabilities During Flow Boiling in Parallel and Oblique Finned Microchannels—A Comparative Study, 2012.
Batchelor, G. K., The theory of homogeneous turbulence. Cambridge University Press, 1953.
Batten, Paul, et al. “Sub-Grid Turbulence Modeling for Unsteady Flow with Acoustic Resonance,” available at www.researchgate.net/publication/269068673_Sub-grid_turbulence_modeling_for_unsteady_flow_with_acoustic_resonance.
Baurle, R. A., and D. R. Eklund. “Analysis of dual-mode hydrocarbon scramjet operation at Mach 4-6.5.” Journal of Propulsion and Power 18.5 (2002): 990-1002.
Bohr, T., M.H. Jensen, G. Paladin and A. Vulpiani. Dynamical Systems Approach to Turbulence, Cambridge University Press, 1998.
Boming Yu et al., Fractal-Like Tree Networks Reducing the Thermal Conductivity, 2006 The American Physical Society.
Bonetto, F., et al, Fourier Law, Atlanta, GA 20006.
Boudreau, Albert H. “Hypersonic air-breathing propulsion efforts in the air force research laboratory.” AIAA 3255.1 (2005): 10.
Cardy, J., G. Falkovich and K. Gawedzki (2008) Non-equilibrium statistical mechanics and turbulence. Cambridge University Press.
Casanova, Joaquin J., Jason A. Taylor, and Jenshan Lin. “Design of a 3-D fractal heatsink antenna.” Antennas and Wireless Propagation Letters, IEEE 9 (2010): 1061-1064.
Chen Yongping et al, Characteristics of Heat and Fluid Flow in Fractal Tree-Like Channel Heat Sink, 2009.
Cockrell Jr, Charles E. “Technology Roadrnap for Dual-Mode Scramjet Propulsion to Support Space-Access Vision Vehicle Development.” (2002).
Covert, Lance, Jenshan Lin, Dan Janning, Thomas Dalrymple, “5.8 GHz orientation-specific extruded-fin heatsink antennas for 3D RF system integration”, Apr. 23, 2008 DOI: 10.1002/mop.23478, Microwave and Optical Technology Letters vol. 50, Issue 7, pp. 1826-1831, Jul. 2008.
Crane, Jackson T. Radial parallel plate flow with mechanical agitation. Diss. Massachusetts Institute of Technology, 2013.
Dannelley, Daniel. Enhancement of extended surface heat transfer using fractal-like geometries. Diss. The University of Alabama Tuscaloosa, 2013.
Davidson, P. A. (2004). Turbulence: An Introduction for Scientists and Engineers. Oxford University Press. ISBN 978-0-19-852949-1.
Donbar, J., et al. “Post-test analysis of flush-wall fuel injection experiments in a scramjet”, AIAA Paper 3197 (2001): 2001.
Durbin P. A., and B. A. Pettersson Reif. Statistical Theory and Modeling for Turbulent Flows. Johns Wiley & Sons, 2001.
en.wikipedia.org/wiki/Bimetallic_strip.
en.wikipedia.org/wiki/Chaos_theory.
en.wikipedia.org/wiki/Fractal.
en.wikipedia.org/wiki/Heat_sink.
en.wikipedia.org/wiki/Heat_transfer.
en.wikipedia.org/wiki/Phonon.
en.wikipedia.org/wiki/Turbulence; www.scholarpedia.org/article/Turbulence.
Escher, W., B. Michel, and D. Poulikakos. “Efficiency of optimized bifurcating tree-like and parallel microchannel networks in the cooling of electronics.” International Journal of Heat and Mass Transfer 52.5 (2009): 1421-1430.
Escher, W., et al, Efficiency of Optimized Bifurcating Tree-Like and Parallel Microchannel Networks in the Cooling of Electronics, Switzerland 2008.
Falkovich, G., and K.R. Sreenivasan. Lessons from hydrodynamic turbulence, Physics Today, vol. 59, No. 4, pp. 43-49 (Apr. 2006).
Falkovich, G., Scholarpedia, “Cascade and scaling”.
Fichera, A., and A. Pagano. “Modelling and control of rectangular natural circulation loops.” International journal of heat and mass transfer 46.13 (2003): 2425-2444.
Fichera, Alberto, et al. “A modeling strategy for rectangular thermal convection loops.” World Congress. vol. 15. No. 1. 2002.
Forghan, F., Goldthwaite, D., Ulinski, M., Metghalchi, M., Experimental and Theoretical Investigation of Thermal Performance of Heat Sinks, ISME, May 2001.
Fourier, J. B., 1822, Theorie analytique de la chaleur, Paris; Freeman, A., 1955, translation, Dover Publications, Inc., NY.
Frigus Primore, “Natural Convection and Chimneys,” available at www.frigprim.com/articels2/parallel.sub.--plchim.html.
Frigus Primore, “A Method for Comparing Heat Sinks Based on Reynolds Analogy,” available at akemalhammar.fr/downloads/Reynolds_analogy_heatsinks.PDF.
Frigus Primore, “Natural Convection and Inclined Parallel Plates,” www.engineeringclicks.com/natural-convection-and-inclined-parallel-plates/,.
Garibaldi, Dott Ing Pietro. Single-phase natural circulation loops: effects of geometry and heat sink temperature on dynamic behavior and stability. Diss. Ph. D. Thesis, 2008.
Gruber, Mark, et al. “Newly developed direct-connect high-enthalpy supersonic combustion research facility.” Journal of Propulsion and Power 17.6 (2001): 1296-1304.
Hone, J., Carbon Nanotubes: Thermal Properties, New York, NY 2004.
Hong, F. J., et al. “Conjugate heat transfer in fractal-shaped microchannel network heat sink for integrated microelectronic cooling application.” International Journal of Heat and Mass Transfer 50.25 (2007): 4986-4998.
Incropera, F.P. and DeWitt, D.P., 1985, Introduction to heat transfer, John Wiley and sons, NY.
Jackson, K., et al. “Calibration of a newly developed direct-connect high-enthalpy supersonic combustion research facility.” AIAA paper (1998): 98-1510.
Jeggels, Y.U., Dobson, R.T., Jeggels, D.H., Comparison of the cooling performance between heat pipe and aluminium conductors for electronic equipment enclosures, Proceedings of the 14th International Heat Pipe Conference, Florianópolis, Brazil, 2007.
Jin, Y.; Uth, M.-F.; Kuznetsov, A. V.; Herwig, H. (Feb. 2, 2015). “Numerical investigation of the possibility of macroscopic turbulence in porous media: a direct numerical simulation study”. Journal of Fluid Mechanics 766: 76-103. Bibcode:2015JFM...766...76J. doi:10.1017/jfm.2015.9.
Kay, Ira W., W. T. Peschke, and R. N. Guile. “Hydrocarbon-fueled scramjet combustor investigation.” Journal of Propulsion and Power 8.2 (1992): 507-512.
Kolmogorov, Andrey Nikolaevich (1941). “Dissipation of Energy in the Locally Isotropic Turbulence”. Proceedings of the USSR Academy of Sciences (in Russian) 32: 16-18., translated into English by Kolmogorov, Andrey Nikolaevich (Jul. 8, 1991). Proceedings of the Royal Society A 434 (1980): 15-17. Bibcode:1991RSPSA.434...15K. doi:10.1098/rspa.1991.0076.
Kolmogorov, Andrey Nikolaevich (1941). “The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers”. Proceedings of the USSR Academy of Sciences (in Russian) 30: 299-303., translated into English by V. Levin: Kolmogorov, Andrey Nikolaevich (Jul. 8, 1991). Proceedings of the Royal Society A 434 (1991): 9-13. Bibcode: 1991RSPSA.434....9K. doi: 10.1098/rspa.1991.0075.
Kordyban, T., 1998, Hot air rises and heat sinks—Everything you know about cooling electronics is wrong, ASME Press, NY; Anon, Unknown, “Heat sink selection”, Mechanical engineering department, San Jose State University [Jan. 27, 2010].
Lasance, C.J.M and Eggink, H.J., A Method to Rank Heat Sinks in Practice: The Heat Sink Performance Tester, 21st IEEE Semi-Therm Symposium 2001.
Lee, S.R., Li, Z.G., Wang, B.G., Chiou, H.S., 2005, “An Application of the Fractal Theory in the Design of Heat Sink for Precision Measurement Instrument,” Key Engineering Materials, 295-296, pp. 717-722.
Lee, Y.J., “Enhanced Microchannel Heat Sinks Using Oblique Fins,” IPACK 2009-89059.
Lee, Yong-Jiun, Poh-Seng Lee, and Siaw-Kiang Chou. “Enhanced microchannel heat sinks using oblique fins.” ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability, American Society of Mechanical Engineers, 2009.
Li, Jie, et al, Computational Analysis of Nanofluid Flow in Microchannels with Applications to Micro-Heat Sinks and Bio-MEMS, Raleigh, North Carolina 2008.
Lienard, J.H., IV & V, 2004, A Heat Transfer Textbook, Third edition, MIT.
Liu et al, Heat Transfer and Pressure Drop in Fractal Microchannel Heat Sink for Cooling of Electronic Chips, 44 Heat Mass Transfer 221 (2007).
Liu, Shutian, Yongcun Zhang, and Peng Liu. “Heat transfer and pressure drop in fractal microchannel heat sink for cooling of electronic chips.” Heat and Mass Transfer 44.2 (2007): 221-227.
Ludens.cl/Electron/Thermal.html.
Malhammar, Ake, A Method for Comparing Heat Sinks Based on Reynolds Analogy, France, Sep. 29-Oct. 2004.
Mandelbrot, B.B. (1982), The Fractal Geometry of Nature. W.H. Freeman and Company. ISBN 0-7167-1186-9. (1982).
McDonough, J. M. (2007). Introductory Lectures on Turbulence—Physics, Mathematics, and Modeling.
Mills, A.F., 1999, Heat transfer, Second edition, Prentice Hall; Potter, C.M. and Wiggert, D.C., 2002, Mechanics of fluid, Third Edition, Brooks/Cole.
Nicole Delong Okamoto, Unknown, “Heat sink selection”, Mechanical engineering department, San Jose State University [Jan. 27, 2010]. www.engr.sjsu.edu/ndejong/ME%20146%20files/Heat%20Sink.ppt.
Palac, Donald T., Charles J. Trefny, and Joseph M. Roche, Performance Evaluation of the NASA GTX RBCC Flowpath, NASA, Glenn Research Center, 2001.
Peles, Yoav, Ali Kossar, Chandan Mishra, Chih-Jung Kuo, Brandon Schneider, “Forced convective heat transfer across a pin fin micro heat sink”, International Journal of Heat and Mass Transfer 48 (2005) 3615-3627.
Pence, D. V., 2002, “Reduced Pumping Power and Wall Temperature in Microchannel Heat Sinks with Fractal-like Branching Channel Networks”, Microscale Thermophys. Eng. 5, pp. 293-311.
Prstic, S., Iyengar, M., and Bar-Cohen, A., 2000, Bypass effect in high performance heat sinks, Proceedings of the International Thermal Science Seminar Bled, Slovenia, Jun. 11-14.
Ryan, NJ, DA Stone, “Application of the FD-TD method to modelling the electromagnetic radiation from heatsinks”, IEEE International Conference on Electromagnetic Compatibility, 1997. 10th (Sep. 1-3, 1997), pp. 119-124.
Saint-Gobain, 2004, “Thermal management solutions for electronic equipment” Jul. 22, 2008 www.fff.saint-gobain.com/Media/Documents/S0000000000000001036/ThermaCool%20Brochure.pdf.
Search Report PCT/IB11/01026 dated May 13, 2011.
Soodphakdee, Denpong; Masud Behnia, and David Watabe Copeland, “A Comparison of Fin Geometries for Heatsinks in Laminar Forced Convection: Part I—Round, Elliptical, and Plate Fins in Staggered and In-Line Configurations”, The International Journal of Microcircuits and Electronic Packaging, vol. 24, No. 1, First Quarter, 2001 (ISSN 1063-1674).
Written Opinion of the International Searching Authority PCT/US2017/041684 (dated Jul. 12, 2016).
International Search Report US2017/041684 (dated Jul. 12, 2016).
Senn, S. M., and D. Poulikakos. “Laminar mixing, heat transfer and pressure drop in tree-like microchannel nets and their application for thermal management in polymer electrolyte fuel cells.” Journal of Power Sources 130.1 (2004): 178-191.
Senn, S. M., et al, Laminar Mixing, Heat Transfer and Pressure Drop, Zurich, Switzerland, 2003.
Sergent, J. and Krum, A., 1998, Thermal management handbook for electronic assemblies, First Edition, McGraw-Hill.
Sui, Y., Teo, C. J., Lee, P. S., Chew, Y. T., & Shu, C. (2010). Fluid flow and heat transfer in wavy microchannels. International Journal of Heat and Mass Transfer, 53(13), 2760-2772.
Wang et al., “Flow and Thermal Characteristics of Offset Branching Network,” Aug. 12, 2009, International Journal of Thermal Science, vol. 49, pp. 272-280.
web.mit.edu/press/2010/thermopower-waves.html.
White, F.M., 1999, Fluid mechanics, Fourth edition, McGraw-Hill International; Azar, A, et al., 2009, “Heat sink testing methods and common oversights”, Qpedia Thermal E-Magazine, Jan. 2009 Issue.
www.emsclad.com/fileadmin/Data/Divisions/EMS/Bimetal_Desingers_Guide.pdf).
www.engr.sjsu.edu/ndejong/ME%20146%20files/Heat%20Sink.ppt.
www.qats.com/cpanel/UploadedPdf/January20092.pdf.
Xiangqi, Wang. “New approaches to micro-electronic component cooling.” PhD diss., 2007 (National University of Singapore).
Xu, Peng, et al. “Thermal characteristics of tree-shaped microchannel nets with/without loops.” International Journal of Thermal Sciences 48.11 (2009): 2139-2147.
Yakobson, Boris, “Acoustic waves may cool microelectronics”, Nano Letters, ACS (2010).
Yong-Jiun Lee et al, Enhanced Microchannel Heat Sinks Using Oblique Fins, IPack 2009-89059, San Francisco, CA, 2009.
Yongping, Chen, et al. “Characteristics of Heat and Fluid Flow in Fractal Tree-like Channel Heat Sink [J].” Acta Aeronautica Et Astronautica Sinica 3 (2010): 008.
Related Publications (1)
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20230332851 A1 Oct 2023 US
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62361253 Jul 2016 US
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Parent 17828011 May 2022 US
Child 18123928 US
Parent 17093307 Nov 2020 US
Child 17828011 US
Parent 15648065 Jul 2017 US
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