The present disclosure relates generally to the field of fluid flow over surfaces. More particularly, the present disclosure relates to systems and methods of active control of surface drag using selective wave generation.
Surface drag is a force that acts opposite to the relative motion of an object moving through a fluid. Air, water, and ground transportation platforms experience some measure of surface drag, which can lead to slower speeds and less fuel efficiency.
One embodiment relates to a system. The system includes a surface, an actuator, and a controller. The surface has a fluid flowing over the surface. The actuator is coupled to the surface to move the surface relative to the fluid. The controller causes the actuator to cause the surface to generate a surface wave that modifies drag in the fluid. The actuator can cause the surface to generate a Love wave.
Another embodiment relates to a method. The method includes coupling an actuator to a surface having a fluid flowing over the surface. The method includes causing, by a controller, the actuator to cause the surface to move relative to the fluid to generate a surface wave that modifies drag in the fluid.
This summary is illustrative only and is not intended to be in any way limiting. Other aspects, inventive features, and advantages of the devices and/or processes described herein, as defined solely by the claims, will become apparent in the detailed description set forth herein, taken in conjunction with the accompanying figures, wherein like reference numerals refer to like elements.
Before turning to the figures, which illustrate the exemplary embodiments in detail, it should be understood that the present disclosure is not limited to the details or methodology set forth in the description or illustrated in the figures. It should also be understood that the terminology used herein is for the purpose of description only and should not be regarded as limiting.
Referring generally to the figures, systems and methods described herein can be used to actively control drag on surfaces. Drag is a force acting opposite to the relative motion of any object moving with respect to a surrounding fluid. Drag manipulation technology has a wide range of applications for improving performance of systems that involve fluid flowing over a surface. For example, efficiency and speed can be increased in all manners of air transportation, including commercial aircraft, military aircraft, rockets, unmanned aerial vehicles, and general aviation. Reducing drag also increases efficiency in ground transportation such as in trains, cars, and tractor trailers. Water transportation, including maritime shipping, personal boating, and undersea transportation can similarly be benefited by reducing drag. Reducing drag can also boost efficiency when transporting fluids through pipes such as in natural gas or oil pipelines. Manipulating drag can be valuable across a wide range of Reynolds numbers, including relatively high Reynolds numbers experienced by maritime shipping through water and the relatively low Reynolds numbers experienced by unmanned aerial vehicles. Selectively increasing drag can also be useful for braking, steering, and other control of bodies moving through the fluid, such as movable platforms (e.g., vehicles). Being able to actively control surface drag of an object allows for not only the minimization of surface drag when efficiency or speed is most needed, but it can also allow for better steering and braking capabilities through selectively increasing surface drag.
Air acts as a viscous fluid at sub-sonic speeds. An object moving through air may collect a group of air particles, which the object tends to pull along as the object moves. Air particles close to the surface of the object tend to move with approximately the same velocity as the object due to molecular adhesion. As a flat plate, airfoil, or other object moves through a free stream of air at a given relative velocity, molecular adhesion causes a boundary layer of air having relative velocities below that of the relative free stream velocity to form adjacent the object surface. The boundary layer can be a layer of air surrounding an object in which the relative velocity of the layer of molecules closest to the object is at or near zero, and in which the relative velocity at successively distant points from the object increases until it approaches that of the free stream, at which point the outer limit of the boundary layer is reached. For example, for an airfoil, the boundary layer can include the interface between the airfoil and the air mass surrounding the airfoil. The boundary layer may be relatively small as compared to a size dimension of the object. The difference between the free stream velocity and the relative velocities in the boundary layer region contribute to drag. Thus, increasing the relative velocities in the boundary layer region can reduce drag, and conversely, decreasing the relative velocities in the boundary layer region can increase drag. Drag may be caused by disturbances in flow, retarding flow near a surface. Such disturbances may not be damped as Reynolds number increases, which can lead to interactions that cause increasing disturbances, such as turbulent eddies. Disturbances may flow away from the surface into the outer boundary layer, which can cause continued disturbances. The present solution can control surface drag by controlling the difference between the velocity of the free stream and the relative velocities of the boundary layer, such as by interrupting the generation of disturbances near the surface.
Turbulent flow in boundary layers can contribute towards drag. A turbulent boundary layer can have a large number of eddies that transfer momentum from the faster moving outer portions of the boundary layer to the relatively slower portions closer to the surface. As such, turbulent boundary layers may have more surface friction than laminar boundary layers, which have more smooth flows, and are generally free from these eddies. Making the boundary layer less turbulent can be used to decrease drag, and conversely making the boundary layer more turbulent can be used to increase drag.
Referring generally to
Wave motion that can be created in solid matter, such as Love waves, are characterized by side-to-side surface undulations perpendicular to the direction of propagation, similar to snake-like motion, but decreasing in amplitude with depth. Love waves are a form of surface wave. A Rayleigh wave is a wave that moves up and down perpendicular to the surface, as water waves do. By contrast, Love waves move laterally to their direction of motion while remaining in the plane of the surface. For example,
The present solution can enable more effective generation of transverse surface waves, including by generating Love waves to cause resulting surface action. The present solution can enable continuous localized deformation in the desired directions for power-efficient and mechanically robust drag control. For example, the present solution can generate Love waves to cause resulting surface action using a multiple layer stack (e.g., multilayer stack) that includes at least two layers, including a first layer (e.g., the top layer described above) and one or more second layers (the top layer having a shear-wave speed less than that of the one or more second layers, such as the underlying layers described above).
Referring now to
In some embodiments, the surface 308 can include materials that facilitate transverse wave generation. For example, the surface 308 can include metamaterials designed to create the desired shear-wave speed difference in different layers. The surface 308 can be doped or etched to achieve a desired response to actuation by the actuator 304.
The fluid control system 300 includes a controller 320. The controller 320 can include a processor 324 and memory 328. The processor 324 can be a general purpose or specific purpose processor, an application specific integrated circuit (ASIC), one or more field programmable gate arrays (FPGAs), a group of processing components, or other suitable processing components. The processor 324 is configured to execute computer code or instructions stored in memory 328 or received from other computer readable media (e.g., CDROM, network storage, a remote server, etc.). Memory 328 can include one or more devices (e.g., memory units, memory devices, storage devices, etc.) for storing data and/or computer code for completing and/or facilitating the various processes described in the present disclosure. Memory 328 can include random access memory (RAM), read-only memory (ROM), hard drive storage, temporary storage, non-volatile memory, flash memory, optical memory, or any other suitable memory for storing software objects and/or computer instructions. Memory 328 can include database components, object code components, script components, or any other type of information structure for supporting the various activities and information structures described in the present disclosure. Memory 328 can be communicably connected to processor 324 via controller 320 and may include computer code for executing (e.g., by processor 324) one or more processes described herein. When processor 324 executes instructions stored in memory 328, processor 324 generally configures the controller 320 to complete such activities.
The controller 320 can generate a control signal to control operation of the actuator 304, such as to cause the actuator 304 to move the surface 308 relative to the fluid 312. The controller 320 can select parameters of the control signal, such as frequency and amplitude, based on desired transverse surface wave properties. For example, the controller 320 can select a parameter of the control signal corresponding to an expected change in drag of the fluid 312 relative to the surface 308. The controller 320 can execute a wave function that maps parameter(s) of the control signal to parameters of resulting transverse surface waves generated using operation of the actuator 304, and a drag function that maps the parameters of the resulting transverse surface waves to corresponding changes in drag of the fluid 312 flowing over the surface 308, and can execute the wave function and the drag function to select the parameter(s) of the control signal. As discussed with further reference to
The controller 320 can control operation of the actuator 304 to control one or more parameters of the surface wave, such as at least one of an amplitude, wavelength, or frequency of the surface wave (e.g., amplitude A, wavelength λ, ω depicted in
Referring now to
The fluid control device 400 includes a first layer 404 and a second layer 412. The first layer 404 can be a guiding layer. The first layer 404 can be made from silicon dioxide. The first layer 404 can include a sensor region 408 that can include one or more sensors that detect characteristics of a fluid flowing over the first layer 404 and/or characteristics of motion of the first layer 404. The first layer 404 can have a lower shear-wave speed or phase velocity than the second layer 412, which can enable Love wave generation.
The second layer 412 can be used to generate waves, such as to generate Love waves. The second layer 412 can be a piezoelectric layer. The second layer 412 can include a cut crystal, such as an AT-cut quartz. The second layer 412 can include lithium niobite. The second layer 412 can include PVDF (e.g., polyvinylidene fluoride; polyvinylidene difluoride).
In some embodiments, the second layer 412 includes a plurality of electrodes 416, which can be energized to generate acoustic waves that result in desired wave motion. The plurality of electrodes 416 may be deposited on the second layer 412 between the first layer 404 and the second layer 412. In some embodiments, the plurality of electrodes 416 include at least one pair of electrode patterns 416a, 416b. The electrode patterns 416a, 416b can be interdigital transducers. For example, as depicted in
In some embodiments, a control signal received at the fluid control device 400 (e.g., from the controller 316 described with reference to
As depicted in
Referring now to
Referring now to
At 605, an actuator is coupled to a surface having a fluid flowing over the surface. The surface can be defined by a body over which the fluid flows, such as a movable platform (e.g., vehicle). The surface can be defined by a body through which the fluid flows, such as a pipe. The fluid can include at least one of air, water, or an oil. In some embodiments, the surface includes a semiconductor material that is doped to achieve a desired response to actuation by the actuator. In some embodiments, the actuator includes a plurality of electrodes. For example, the actuator can include a surface acoustic wave device that includes interdigitated electrode patterns.
At 610, a controller causes the actuator to cause the surface to move relative to the fluid, generating a surface wave that modifies drag in the fluid, such as to increase or decrease drag of the fluid relative to the surface. In some embodiments, a transverse surface wave is generated. In some embodiments, a Love wave is generated. In some embodiments, a shear wave is generated. In some embodiments, a standing wave is generated. In some embodiments, the actuator includes a plurality of electrodes that the controller causes to generate a beat frequency based on a first frequency of operation of a first subset of the plurality of electrodes and a second frequency of operation of a second subset of the plurality of electrodes.
As utilized herein, the terms “approximately,” “about,” “substantially”, and similar terms are intended to have a broad meaning in harmony with the common and accepted usage by those of ordinary skill in the art to which the subject matter of this disclosure pertains. It should be understood by those of skill in the art who review this disclosure that these terms are intended to allow a description of certain features described and claimed without restricting the scope of these features to the precise numerical ranges provided. Accordingly, these terms should be interpreted as indicating that insubstantial or inconsequential modifications or alterations of the subject matter described and claimed are considered to be within the scope of the disclosure as recited in the appended claims.
The term “coupled,” as used herein, means the joining of two members directly or indirectly to one another. Such joining may be stationary (e.g., permanent or fixed) or moveable (e.g., removable or releasable). Such joining may be achieved with the two members coupled directly to each other, with the two members coupled to each other using a separate intervening member and any additional intermediate members coupled with one another, or with the two members coupled to each other using an intervening member that is integrally formed as a single unitary body with one of the two members. Such members may be coupled mechanically, electrically, and/or fluidly.
The term “or,” as used herein, is used in its inclusive sense (and not in its exclusive sense) so that when used to connect a list of elements, the term “or” means one, some, or all of the elements in the list. Conjunctive language such as the phrase “at least one of X, Y, and Z,” unless specifically stated otherwise, is understood to convey that an element may be either X, Y, Z; X and Y; X and Z; Y and Z; or X, Y, and Z (i.e., any combination of X, Y, and Z). Thus, such conjunctive language is not generally intended to imply that certain embodiments require at least one of X, at least one of Y, and at least one of Z to each be present, unless otherwise indicated.
References herein to the positions of elements (e.g., “top,” “bottom,” “above,” “below,” etc.) are merely used to describe the orientation of various elements in the FIGURES. It should be noted that the orientation of various elements may differ according to other exemplary embodiments, and that such variations are intended to be encompassed by the present disclosure.
The hardware and data processing components used to implement the various processes, operations, illustrative logics, logical blocks, modules and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose single- or multi-chip processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, or, any conventional processor, controller, microcontroller, or state machine. A processor also may be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. In some embodiments, particular processes and methods may be performed by circuitry that is specific to a given function. The memory (e.g., memory, memory unit, storage device, etc.) may include one or more devices (e.g., RAM, ROM, Flash memory, hard disk storage, etc.) for storing data and/or computer code for completing or facilitating the various processes, layers and modules described in the present disclosure. The memory may be or include volatile memory or non-volatile memory, and may include database components, object code components, script components, or any other type of information structure for supporting the various activities and information structures described in the present disclosure. According to an exemplary embodiment, the memory is communicably connected to the processor via a processing circuit and includes computer code for executing (e.g., by the processing circuit and/or the processor) the one or more processes described herein.
The present disclosure contemplates methods, systems and program products on any machine-readable media for accomplishing various operations. The embodiments of the present disclosure may be implemented using existing computer processors, or by a special purpose computer processor for an appropriate system, incorporated for this or another purpose, or by a hardwired system. Embodiments within the scope of the present disclosure include program products comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable media can be any available media that can be accessed by a general purpose or special purpose computer or other machine with a processor. By way of example, such machine-readable media can comprise RAM, ROM, EPROM, EEPROM, or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code in the form of machine-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer or other machine with a processor. Combinations of the above are also included within the scope of machine-readable media. Machine-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing machines to perform a certain function or group of functions.
Although the figures and description may illustrate a specific order of method steps, the order of such steps may differ from what is depicted and described, unless specified differently above. Also, two or more steps may be performed concurrently or with partial concurrence, unless specified differently above. Such variation may depend, for example, on the software and hardware systems chosen and on designer choice. All such variations are within the scope of the disclosure. Likewise, software implementations of the described methods could be accomplished with standard programming techniques with rule-based logic and other logic to accomplish the various connection steps, processing steps, comparison steps, and decision steps.
It is important to note that the construction and arrangement of the fluid control systems and methods of fluid control as shown in the various exemplary embodiments is illustrative only. Additionally, any element disclosed in one embodiment may be incorporated or utilized with any other embodiment disclosed herein. Although only one example of an element from one embodiment that can be incorporated or utilized in another embodiment has been described above, it should be appreciated that other elements of the various embodiments may be incorporated or utilized with any of the other embodiments disclosed herein.
The present disclosure claims the benefit of priority to U.S. Provisional Application No. 62/773,805, titled “SYSTEMS AND METHODS OF ACTIVE CONTROL OF SURFACE DRAG USING SELECTIVE WAVE GENERATION,” filed Nov. 30, 2018, the disclosure of which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
1903823 | Lougheed | Apr 1933 | A |
2440198 | Green | Apr 1948 | A |
3289978 | Banaszak | Dec 1966 | A |
3578264 | Kuethe | May 1971 | A |
4102519 | Crosby, Jr. | Jul 1978 | A |
4309901 | Rolinski et al. | Jan 1982 | A |
4516747 | Lurz | May 1985 | A |
4526031 | Weisend et al. | Jul 1985 | A |
4611492 | Koosmann | Sep 1986 | A |
4932612 | Blackwelder et al. | Jun 1990 | A |
5037044 | Seyfang | Aug 1991 | A |
5106017 | Hicks | Apr 1992 | A |
5209438 | Wygnanski | May 1993 | A |
5359574 | Nadolink | Oct 1994 | A |
5365490 | Katz | Nov 1994 | A |
5369345 | Phan et al. | Nov 1994 | A |
5374011 | Lazarus et al. | Dec 1994 | A |
5445346 | Gilbert | Aug 1995 | A |
5531407 | Austin et al. | Jul 1996 | A |
5540406 | Occhipinti | Jul 1996 | A |
5558156 | Tsutsui | Sep 1996 | A |
5558304 | Adams | Sep 1996 | A |
5573012 | McEwan | Nov 1996 | A |
5598990 | Farokhi et al. | Feb 1997 | A |
5755408 | Schmidt et al. | May 1998 | A |
5808210 | Herb et al. | Sep 1998 | A |
5874671 | Lopez | Feb 1999 | A |
5942682 | Ghetzler et al. | Aug 1999 | A |
5953773 | Asada | Sep 1999 | A |
5957413 | Glezer et al. | Sep 1999 | A |
5961080 | Sinha | Oct 1999 | A |
5964433 | Nosenchuck | Oct 1999 | A |
5988522 | Glezer | Nov 1999 | A |
5988568 | Drews | Nov 1999 | A |
6016286 | Olivier et al. | Jan 2000 | A |
6024119 | Kirschner | Feb 2000 | A |
6109565 | King, Sr. | Aug 2000 | A |
6123145 | Glezer et al. | Sep 2000 | A |
6123296 | Mangalam | Sep 2000 | A |
6131853 | Bauer et al. | Oct 2000 | A |
6215221 | Cabuz et al. | Apr 2001 | B1 |
6332593 | Kamiadakis et al. | Dec 2001 | B1 |
6443394 | Weisend, Jr. | Sep 2002 | B1 |
6484971 | Layukallo | Nov 2002 | B2 |
6644598 | Glezer | Nov 2003 | B2 |
6662647 | Schoess et al. | Dec 2003 | B2 |
6795763 | Yao et al. | Sep 2004 | B2 |
6821090 | Hassan et al. | Nov 2004 | B1 |
6862502 | Peltz et al. | Mar 2005 | B2 |
6871816 | Nugent et al. | Mar 2005 | B2 |
6874748 | Hanagan | Apr 2005 | B2 |
6966231 | Sheplak et al. | Nov 2005 | B2 |
6979050 | Browne et al. | Dec 2005 | B2 |
7031871 | Severson et al. | Apr 2006 | B2 |
7133785 | Larson et al. | Nov 2006 | B2 |
7204731 | Gusler | Apr 2007 | B2 |
7251592 | Praisner et al. | Jul 2007 | B1 |
7375911 | Li et al. | May 2008 | B1 |
7380756 | Enloe et al. | Jun 2008 | B1 |
7434170 | Novak et al. | Oct 2008 | B2 |
7537182 | Greenblatt | May 2009 | B2 |
7703839 | McKnight et al. | Apr 2010 | B2 |
7854467 | McKnight et al. | Dec 2010 | B2 |
7913928 | Tiliakos et al. | Mar 2011 | B2 |
8006939 | McClure | Aug 2011 | B2 |
8074938 | Hyde et al. | Dec 2011 | B2 |
8074939 | Hyde et al. | Dec 2011 | B2 |
8091950 | Corke et al. | Jan 2012 | B2 |
8267355 | Patel et al. | Sep 2012 | B1 |
8286909 | Lee | Oct 2012 | B2 |
8308112 | Wood et al. | Nov 2012 | B2 |
8436509 | Branch | May 2013 | B1 |
8640995 | Corke et al. | Feb 2014 | B2 |
8783337 | Hyde et al. | Jul 2014 | B2 |
8794574 | Lang | Aug 2014 | B2 |
8894019 | Alvi | Nov 2014 | B2 |
9002484 | Hyde et al. | Apr 2015 | B2 |
9410527 | Hsu | Aug 2016 | B2 |
9541106 | Patel et al. | Jan 2017 | B1 |
9640995 | Thorburn | May 2017 | B2 |
9834301 | Patel et al. | Dec 2017 | B1 |
9848485 | Corke et al. | Dec 2017 | B2 |
9883822 | Bhagavat | Feb 2018 | B2 |
9908616 | Horn et al. | Mar 2018 | B1 |
10527074 | Corke | Jan 2020 | B2 |
10543908 | Stefes et al. | Jan 2020 | B2 |
11299260 | Wine | Apr 2022 | B2 |
11519433 | Wine | Dec 2022 | B2 |
20020079405 | Layukallo | Jun 2002 | A1 |
20020125376 | Karniadakis et al. | Sep 2002 | A1 |
20020131474 | Suga | Sep 2002 | A1 |
20040197519 | Elzey et al. | Oct 2004 | A1 |
20040249257 | Tupin et al. | Dec 2004 | A1 |
20050088057 | Kando | Apr 2005 | A1 |
20050121240 | Aase et al. | Jun 2005 | A1 |
20050163963 | Munro et al. | Jul 2005 | A1 |
20050241605 | Bedwell et al. | Nov 2005 | A1 |
20060022092 | Miller et al. | Feb 2006 | A1 |
20060040532 | Ozawa et al. | Feb 2006 | A1 |
20060060722 | Choi et al. | Mar 2006 | A1 |
20060236777 | Chambers et al. | Oct 2006 | A1 |
20070113932 | Tiliakos et al. | May 2007 | A1 |
20080128027 | Hyde et al. | Jun 2008 | A1 |
20080128560 | Hyde et al. | Jun 2008 | A1 |
20080128561 | Hyde et al. | Jun 2008 | A1 |
20080193307 | Elata et al. | Aug 2008 | A1 |
20080245520 | Hyde et al. | Oct 2008 | A1 |
20090173837 | Silkey et al. | Jul 2009 | A1 |
20100123046 | Khozikov et al. | May 2010 | A1 |
20100219296 | Shelman-Cohen | Sep 2010 | A1 |
20110224846 | Simon | Sep 2011 | A1 |
20110295102 | Lakkis et al. | Dec 2011 | A1 |
20120193483 | Essenhigh et al. | Aug 2012 | A1 |
20130009016 | Fox et al. | Jan 2013 | A1 |
20150191244 | Rolston | Jul 2015 | A1 |
20150257653 | Hyde et al. | Sep 2015 | A1 |
20160089052 | Cho et al. | Mar 2016 | A1 |
20160174842 | Hyde et al. | Jun 2016 | A1 |
20180298762 | Shelman-Cohen | Oct 2018 | A1 |
20190136881 | Amitay et al. | May 2019 | A1 |
20200031456 | Wine et al. | Jan 2020 | A1 |
20200148335 | Wine et al. | May 2020 | A1 |
20200176664 | Wine | Jun 2020 | A1 |
20200191177 | Wine et al. | Jun 2020 | A1 |
20200217337 | Loebig | Jul 2020 | A1 |
20210348628 | Holloway et al. | Nov 2021 | A1 |
Number | Date | Country |
---|---|---|
1 481 467 | Dec 2004 | EP |
2 012 139 | Jan 2009 | EP |
1053332 | Feb 1954 | FR |
WO-0176934 | Oct 2001 | WO |
WO-02103304 | Dec 2002 | WO |
WO-2006040532 | Apr 2006 | WO |
WO-2012054086 | Apr 2012 | WO |
WO-2016179405 | Nov 2016 | WO |
WO-2016189448 | Dec 2016 | WO |
Entry |
---|
Smart Materials and Structures, Microsensors, microelectromechanical systems (MEMS), and electronics for smart structures and systems, Varadan (Year: 2000). |
International Search Report for PCT/US2019/063409, dated Feb. 21, 2020, 16 pages. |
Ainajjar et al., “Receptivity of high-speed jets to excitation using an array of mems-based mechanical actuators”, SME Fluids Engineering Division Summer Meeting, Jun. 22-26, 1997, pp. 1-6. |
Alfredsson et al., “Large-eddy breakup devices—a 40 years perspective from a stockholm horizon”, Flow Turbulence Combust, 2018, vol. 100, pp. 877-888. |
Bird et al., “Compliant kagome lattice structures for generating in-plane waveforms”, 2018, vol. 41, No. 142, pp. 86-101. |
Bird et al., “Experimental control of turbulent boundary layers with in-plane travelling waves”, Flow Turbulence Combust, 2018, vol. 100, pp. 1015-1035. |
Bird et al., “In-plane forcing of a turbulent boundary layer, through the actuation of a compliant structure”, DRFCM, 2015, pp. 1-2. |
Braslow, “A History of suction-type laminar-flow control with emphasis on flight research”, 1999, pp. 1-84. |
Bushnell, “Chapter VIII : compliant surfaces introduction”, Viscous Flow Drag Reduction, 1980, pp. 687-390. |
Cattafesta et al., “Actuators for active flow control”, Annu. Rev. Fluid Mech., 2001, vol. 43, pp. 247-272. |
Chamorro et al., “Drag reduction of large wind turbine blades through riblets: evaluation of riblet geometry and application strategies”, Renewable Energy, 2013, vol. 50, pp. 1095-1105. |
Corke et al., “Active and passive turbulent boundary layer drag reduction”, AIM Journal, 2018, vol. 56, pp. 3835-3847. |
Gad-El-Hak et al., “Separation control: review”, Journal of Fluids Engineering, 1991, vol. 13, pp. 5-30. |
Gad-El-Hak, “Chapter 9: drag reduction using compliant walls”, Flow Past Highly Compliant Boundaries and in Collapsible Tubes, Eds. Carpenter and Pedley, Mar. 26-31, 2001, pp. 191-229. |
Garcia-Mayoral et al., “Drag rReduction by riblets”, Phil Trans. R. Soc A, 2011, vol. 369, pp. 1412-1427. |
Gatti et al., “Reynolds-number dependence of turbulent skin-friction drag reduction induced by spanwise forcing”, J. Fluid Mech, 2016, vol. 802, pp. 553-582. |
Gatti, “Turbulent drag reduction at moderate reynolds number via spanwise velocity waves”, PAMM, 2012, 133 pages. |
Gouder, “Turbulent friction drag reduction using electroactive polymer surfaces”, Doctoral Thesis, Imperial College, May 2011. |
Grosjean et al., “Micro balloon actuators for aerodynamic control”, IEEE Proceedings MEMS 98, Jan. 25-28, 1998, pp. 1-6. |
Hong et al., “Turbulent drag reduction with polymers in rotating disk flow”, Polymers, vol. 7, pp. 279-1298. |
Huang et al., “MEMS transducers for aerodynamics—a paradym shift”, 38th Aerospace Sciences Meeting, 2000, pp. 1-7. |
Hurst et al., “The effect of reynolds number on turbulent drag reduction by streamwise travelling waves”, J. Fluid Mech., 2014, vol. 759, pp. 28-55. |
Jones et al., “Modelling for robust feedback control of fluid flows”, Journal of Fluid Mechanics, 2015, vol. 769, pp. 1-34. |
Jung et al., “Suppression of turbulence in wall-bounded flows by high-frequency spanwise oscillations”, Phys_ Fluids A, 1992, vol. 4, No. 8, pp. 1605-1607. |
Kang et al., “Active wall motions for skin-friction drag reduction”, Physics of Fluids, 2000, vol. 12, No. 12, pp. 3301-3304. |
Karniadakis et al., “Mechanism on transverse motions in turbulent wall flows”, Annu. Rev. Fluid Mech., 2003, vol. 35, pp. 45-62. |
Kasagi et al., “Toward cost-effective control of wall turbulence of skin friction drag reduction”, Advances in Turbulence XII, 2009, pp. 189-200. |
Kline et al., “The structure of turbulent boundary layers”, Journal of Fluid Mechanics, 1967, vol. 30, pp. 741-773. |
Laadhari et al., “Turbulence reduction in a boundary layer by a local spanwise oscillating surface”, Physics of Fluids, 1994, vol. 6, pp. 3218-3220. |
Lee et al., “Control of roll moment by MEMS”. American Society of Mechanical Engineers, 1996, pp. 1797-1803. |
Leschziner, “Friction-drag reduction by transverse wall motion—a review”, J. of Mechanics, DOI: 10.1017/ mech.2020_31, 15 pages. |
Luhar et al., “A framework for studying the effect of compliant surface on wall turbulence”, J. Fluid Mech., 2015, vol. 768, pp. 415-441. |
Mahfoze et al., “Skin-friction drag reduction in a channel flow with streamwise-aligned plasma actuators,” Intl J. of Heat and Fluid Flow, Butterworth Scientific LTD., Guildford, GB, 2017, vol. 66, pp. 83-94. |
Marusic et al., “Predictive model for wall-bounded turbulent flow”, Science, 2010, vol. 329, No. 5988, pp. 193-196. |
Mathis et al., “Estimating wall-shear-stress fluctuations given an outer region input”, Journal of Fluid Mechanics, 2013, vol. 715, pp. 163-180. |
Melton et al., “Active flow control via discrete sweeping and steady jets on a simple-hinged flap”, Aug. 2018, IM Journal, vol. 56, No. 8, pp. 2961-2973. |
Morrison, “MEMS devices for active drag reduction in aerospace applications”, Electronic and Optical Materials, 2014, pp. 153-176. |
Naguib et al., “Arrays of MEMS-based actuators for control of supersonic jet screech”, AIM, Jun. 29-Jul. 2, 1997, pp. 1-9. |
Panton, “Overview of the self-sustaining mechanisms of wall turbulence”, Prog. Aerosp. Sci., 2001, vol. 37, pp. 41-383. |
Quadrio et al., “Streamwise-traveling waves of spanwise wall velocity for turbulent drag reduction”, 2009, vol. 627, pp. 161-178. |
Quadrio, “The laminar generalized stokes layer and turbulent drag reduction”, J. Fluid. Mech., 2011, vol. 667, pp. 135-157. |
Ricco, “Active and passive turbulent drag reduction”, Workshop on Turbulent Skin Friction Drag Reduction, Imperial College London, Dec. 4-5, 2017, pp. 1-60. |
Sareen et al., “Drag reduction using riblet film applied to airfoils for wind turbines”, 49th Aerospaces Sciences Meeting, Jan. 4-7, 2011, pp. 1-19. |
Schoppa et al., “A large-scale control strategy for drag reduction in turbulent boundary layers”, Physics of Fluids , 1998, vol. 10, No. 5, pp. 1049-1051. |
Schroder, “Drag reduction via transversal wave motions”, Institute of Aerodynamics, 2017, pp. 1-22. |
Shen, “Turbulent flow over a flexible wall undergoing a streamwise travelling wave motion”, J. Fluid Mech., 2003, vol. 484, pp. 197-221. |
Smith et al., “The characteristics of low-speed streaks in the near-wall region of a turbulent boundary layer”, Journal of Fluid Mechanics, 1983, vol. 129, pp. 27-54. |
Smits et al., “High reynolds number wall turbulence”, Annu. Rev. Fluid Mech., 2011, vol. 43, pp. 353-375. |
Symeonidis et al., “Drag reduction in wall-bound turbulence via a transverse travelling wave”, J. Fluid Mech., 2002, vol. 457, pp. 1-34. |
Tamano, “Turbulent drag reduction due to spanwise traveling waves with wall deformation”, Nov. 20, 2014, OR 1779 Symposium, pp. 1-51. |
Thomas et al., “Turbulent drag reduction using pulsed-DC plasma actuation”, J. of Physics D: Appl. Phys., 2019, vol. 52, No. 34001, 13 pages. |
Tomiyama et al., “Direct numerical simulation of drag reduction in a turbulent channel flow using spanwise traveling wave-like wall deformation”, Physics of Fluids, 2013, vol. 25, pp. 1-22. |
Tsao, “An integrated mems system for turbulent boundary layer control”, IEEE Solid State Sensors and Actuators, 1997, pp. 1-4. |
Tsao, “Micromachined magnetic actuators for active fluid control”, International Mechanical Engineering Congress and Exposition, 1994, pp. 31-38. |
Van Buren et al., “Piezoelectric driven oscillating surface (PDOS)”, RPI, 2014, 6 pages. |
Viotti et al., “Streamwise oscillation of spanwise velocity at the wall of a channel for turbulent drag reduction”, Physics of Fluids, 2009, vol. 21, pp. 1-9. |
Wang, “Flow over a surface with parallel grooves”, May 2003, vol. 15, No. 5, pp. 1114-1121. |
Yang et al., “Micro bellow actuators”, IEEE International Solid State Sensors and Actuators Conference, 1997, pp. 1-4. |
Zhao et al., “Turbulent drag reduction by traveling wave of flexible wall”, Fluid Dynamics Research, 2004, vol. 34, pp. 175-198. |
Zhong et al., “Reduction of pressure losses in a linear cascade using herringbone riblets”, School of Mechanical, Aerospace and Civil Engineering, University of Manchester, Aug. 17, 2017, 16 pages. |
Hudson, “Love Waves in a Heterogeneous Medium” (1962), The Geophysical Journal of the Royal Astonomical Society, vol. 6, No. 2, Feb. 1962, p. 131-147. |
Mazein et al., “Love Wave Chemical Sensors: Design and Optimisation. Case of Organophosphorous Compounds Detection.” (2004) IEEE, p. 31-35. |
White, “Surface Elastic Waves” (1970), Proceedings of the IEEE, vol. 58, No. 8, Aug. 1970. |
Number | Date | Country | |
---|---|---|---|
20200176664 A1 | Jun 2020 | US |
Number | Date | Country | |
---|---|---|---|
62773805 | Nov 2018 | US |