The present disclosure generally relates to strain sensors. More specifically, the disclosure relates to a 3D printed micro-electromechanical system (MEMS) switch-based sensor array that can be printed on flexible substates.
Fabricating MEMS devices on flexible substrates enables compliant, lightweight device integration essential in several applications, such as flexible displays or robotics. For example, sensing ‘skins’ composed of MEMS sensor arrays on flexible substrates can be used on humanoid robotics. However, creating flexible sensor arrays similar to those found in biological systems like our own skin involves numerous engineering challenges. While larger (>1 cm) flexible sensor arrays have become more common, microscale MEMS sensors are typically limited to rigid silicon wafers to take advantage of standard microfabrication processes. In addition, traditional MEMS sensor arrays typically require significant design and fabrication time ranging from days to months.
Some of these challenges have previously been tackled using transfer printing—an approach designed to transfer MEMS devices fabricated on a rigid donor substrate to a flexible receiver substrate through bonding. While this solves the problem of putting MEMS on a flexible substrate, transfer printing still has fabrication limitations, misalignment challenges, and requires significant cleanroom time to fabricate the MEMS devices. To reduce fabrication time, rapid prototyping through 3D printing could be used. However, prior attempts have been limited to rigid substrates. Therefore, it would be advantageous to develop a micro-electromechanical system that can be implemented on a flexible substrate.
According to embodiments of the present disclosure is a micro-electromechanical system that can be used as a strain sensor in various applications. Methods to rapidly fabricate MEMS sensor arrays on a highly flexible substrate are also disclosed. The fabrication methods take advantage of rapid prototyping by using the two-photon polymerization process and extend its utility through the design of new processes to print complex structures (including long overhangs without supports) directly onto 50 μm thin PET sheets. Sputtered metal is used to provide electrical conductivity to the sensors. Laser ablation of deposited metal is used to achieve electrical isolation. This rapid prototyping process enables MEMS devices to be directly printed on flexible substrates, drastically decreasing fabrication time, and reducing cost, while also presenting 3D devices that are not achievable or challenging to achieve with traditional 2D processes.
The fabrication process can be used to create a strain sensor inspired by mechano-sensors found in the wings of certain moths. The fabricated sensors enable both higher density arrays as well as greater substrate compliance compared to those found in nature. The result is a strain sensor that activates at a particular strain threshold, acting as a switch. When combined with a simple voltage divider, the contact switch provides a sufficient change in voltage to be captured by a digital input on a microcontroller.
The sensor is a digital, bio-inspired strain sensor. These temporal sensors can be used to infer the magnitude of disturbances on a winged vehicle without directly encoding strain itself, but instead by encoding the timing at which a particular strain value is reached. When the wings with printed sensors are flapped and subjected to wind gusts, the signal generated by the sensors can easily distinguish the onset of a wind gust within a wingbeat by analyzing changes in the digital signal.
According to embodiments of the disclosure is strain sensor 100, as shown in
This switch 111 is incorporated with a voltage divider that provides a high state when the switch 111 is closed and a low state when the switch 111 is open. Thus, the switch 111 has an on/off state capable of providing a digital output. Traditional sensors obtain an analog signal which is amplified with additional hardware. The noisy amplified signal must be post-processed to obtain a usable signal. Here, the strain sensor 100 differs from traditional sensors by providing an improved signal-to-noise ratio. Further, the strain sensor 100 provides an output that can be directly digitally sampled and thus is not limited by analog-to-digital conversion, but instead by the clocking speed of a processor.
A variety of fabrication techniques employed in the field of MEMS sensors can be utilized. Two such non-limiting examples are highlighted below.
The first fabrication process, shown in
One challenge in handling flexible substrates using existing tools is keeping the substrate flat during processing. To maintain flatness, in one example embodiment, Crystalbond 555 is used as an adhesion layer 210 to bond the substrate 102 flat during the fabrication process. In this example embodiment, a 25 mm×25 mm×0.7 mm silica glass slide is cleaned with isopropyl alcohol and placed on a hotplate at 70° C. Crystalbond 555 is applied to the glass slide, and the PET substrate 102 is placed coated side down, allowing the capillary forces to pull it uniformly on the glass. The prepared slide is then placed in a vacuum oven at 85° C. with a gauge pressure of 25 inHg for 30 minutes to remove air bubbles trapped under the PET substrate 102. Trapped bubbles can cause interface finding issues during printing and deformations in the substrate 102 while under a high vacuum during subsequent sputtering. In other embodiments, other forms of adhesion layers 210 can be used, along with ranges of physical dimensions, time temperature, and pressures.
After removing bubbles, the slide-mounted substrate 102 is placed back on a hotplate at 60° C. and covered. The hotplate is turned off and left to cool for 20 minutes to room temperature. This slow cooling prevents artifacts from forming in the adhesion layer 210, leaving an optically clear layer under the substrate 102 that is ideal for interface finding during the 3D printing process. Automatically finding an interface is a step in printing using two-photon polymerization that improves the outcome. A weak interface signal can result in structures printed too deep or above the substrate 102. When printing larger structures with multiple split blocks, an insufficient interface or artifact can lead to misalignment between blocks.
By removing bubbles and slowly cooling the adhesion layer 210, the resulting ITO/adhesion layer interface provides a robust and consistent interface signal across the entire substrate 102 allowing for larger arrays to be printed. It should also be noted that the ITO/adhesion layer interface is on the bottom of the substrate 102, and structures 103 are printed on the top. As a result, the z-offset must be adjusted to account for the substrate 102 thickness. This offset can be found by printing test structures and increasing the z-offset until the structures 103 are visible on the top of the substrate 102. A z-offset of 52 μm was added in this example embodiment to print structures 103 on the non-coated side of the substrate 102. In alternative embodiments, other types of adhesion layers 102 can be used, along with ranges of physical dimensions, time temperature and pressures.
During fabrication, once the substrate 102 is prepared, a Nanoscribe Dip-in Laser Lithography (DiLL) process is used to print 3D structures on the substrate 102. IP-S resist is drop cast onto the substrate 102, as shown in
Another challenge addressed in this fabrication process is printing long (e.g., >1 mm) overhanging structures 106. Printing with IP-S resist traditionally requires support structures to prevent drift and misalignment during printing. To print large structures in general, the Nanoscribe needs to break printing steps into blocks—the 25× objective used in this process can print up to a 280×280 μm square area at one time before the stage moves to print the next square. These areas are called ‘split blocks’. Long overhanging structures 106 can be fabricated by reducing the split block size to 50 μm, which prevents drift in IP-S during printing. The overhanging structures 106 are visible in
To provide electrical conductivity to the 3D polymer structures 103, gold is then sputtered to a thickness of 150 nm using a Perkin Elmer 6J Sputtering System. As discussed above, other suitable metals also can be used. Several approaches can be used to pattern the gold and provide electrical isolation. Electrical isolation permits proper functioning of the device 100. For example, for a strain sensor 100, electrical isolation allows the circuit formed by the sensor 100 to act as a switch, where the circuit is normally open, until a strain causes the beams 101 to deflect and contact each other, closing the circuit. In one approach, the overhanging structures 106 can be added in the 3D design and provide self-shadowing to prevent metal from being deposited underneath during sputtering. In the second approach, an LPKF ProtoLaser U4 can be used to selectively remove (i.e. ablate) the deposited gold from both the substrate 102 and printed structures 103. The sample was aligned using the established fiducials, and gold was removed using a laser power of 0.6 W, resulting in electrical isolation across the substrate 102. In other embodiments, comparable process steps and tools can be used, as well as variations in dimensions and power (as well as other operating parameters).
After laser ablation, the sensor 100 is placed on a hotplate at 70° C. to release the PET substrate 102 from the glass slide. The sensor 100 is rinsed in a bath of deionized water to remove excess adhesion layer 210 and then isopropyl alcohol is used as a final cleaning step. The example sensor 100 in
In another example fabrication embodiment, the first step in this fabrication process starts with a 175 μm thick Indium/Tin oxide (ITO)-coated PET (polyethylene terephthalate) (Sigma-Aldrich) wing as the substrate 102. The PET serves as the flexible wing 300 and is similar to previous wings used for flapping flight. The use of other materials can occur in other embodiments. The PET substrate 102 is cut and patterned using an LPKF U4 UV laser. In this example, 25 mm×50 mm rectangular wings 300 are cut to match previous computational work focused on strain sensing in hawkmoth wings. Holes can be cut to mount the wing to fixtures or vehicles, as shown in
Next, the substrate 102 is cleaned using acetone and isopropyl alcohol. A drop of IP-S 2PP resin (Nanoscribe) is placed on a 100 mm diameter 500 μm thick Borofloat 33 glass wafer (University Wafer). The substrate 102 (i.e. wing 300) is placed ITO side down directly on the IP-S. Capillary forces of the IP-S pull the PET substrate 102 flat for printing. The ITO/IP-S interface provides a contrast of refractive indexes and ensures a strong interface for the Nanoscribe device to find. The edges of the substrate 102 are secured to the glass wafer using polyimide tape as an adhesion layer 210 to prevent shifting during printing. Another drop of IP-S is placed on top of the substrate 102 to print the sensor structures 103. In other embodiments, comparable process steps, tools and operating parameter ranges can be used.
In this embodiment, the sensor structures 103 are printed using the Dip-In Laser Lithography (DiLL) process with a 25× objective. The ITO/IP-S interface that the Nanoscribe device finds is on the bottom of the substrate 102. Thus, a z-offset must be added to the structures 103 so they print on the top of the PET substrate 102. The z-offset is dependent on the film thickness and the refractive index at the interface. The z-offset can be easily found by printing alignment crosshairs until they no longer adhere to the PET surface and float away. The z-offset used with this substrate 102 is 182 μm. To ensure proper print quality in between print movements, the settling time of the piezo stage used to adjust to this z-offset was increased to 50 ms. This ensures printing does not start before the piezo is settled. Additionally, the stage velocity was reduced to 50 μms−1 to reduce viscous flow in the resin that can arise from fast stage movements. In other embodiments, comparable process steps, tools and operating parameter ranges can be used.
Next, a coordinate transformation is completed by using marker alignment to the laser patterned fiducials. The structures are printed, and the PET substrate 102 is removed from the glass wafer and developed in PGMEA for 20 min. After development, the wing 300 is rinsed with isopropyl alcohol and dried with a nitrogen spray gun. To make the substrate 102 and 3D structures 103 electrically conductive, gold or other suitable conductive materials are sputtered to a thickness of 75 nm using a Perkin Elmer 6J Sputtering System. Other sputtering systems and thin film deposition processes also can be used. For example, chemical vapor deposition, laser metal deposition, physical vapor deposition, thin film deposition, electroless plating, and other processes known in the art can be used.
Electrical isolation can be achieved using several different methods. Overhangs 106 are printed directly on the 3D structures 103 that add local electrical isolation, as shown in
This fabrication process, as detailed above, can be used to fabricate bio-inspired strain sensor 100 capable of sensing strain across a flexible wing 300 or similar structure subject to cyclical loading. The sensor's design uses chevron-shaped beams 101 to mechanically amplify displacements due to strain. The amplified displacements close a contact switch 111 when a specific strain threshold is reached. Unlike a traditional analog strain sensor that can provide continuous strain measurements, this sensor design results in a digital indication of strain passing a given threshold.
The sensors' beams 101 can be configured to detect tensile strain (see
In one embodiment, the sensor 100 can be used to detect bending strain in the substrate 102 by connecting probes directly to an Arduino Uno microcontroller 151. The sensor 100 was placed in a cantilever configuration with the sensors at the base of the PET cantilever (
The switch 111 of the sensor 100 is normally open when the substrate 102 is flat, registering 5V on the digital pin. The end of the substrate 102 was deflected up, resulting in a compressive bending strain that closes the switch 100 dropping the voltage to 0V. The digital signal generated from the sensor 100 and measured on the microcontroller 151 is shown in
Sampling the signal directly with the digital pin on the microcontroller 151 demonstrates the ability to gain important data such as strain thresholds with precise timing and extremely low latency as compared to more traditional methods of measuring strain on wings. In addition, no additional amplifiers or other circuitry is required. In contrast, traditional analog sensors commonly require an analog-to-digital converter, an amplifier, and a filter. For the present sensor 100, none of this hardware is required. Similar to the biological campaniform sensilla sensors, the sensor's mechanical structure is designed to operate as a filter without requiring additional hardware because the sensor 100 acts as a filter by taking continuous strain data and discretizing it into digital data. Stated differently, the ‘on/off’ nature of the sensor 100 is analogous to what is happening in biological systems and thus is acting as a mechanical filter. In other embodiments, comparable process steps, tools and operating parameter ranges can be used.
In one embodiment, the sensor 100 was designed to detect and output a binary response to a strain threshold being crossed in a flapping wing 300. This required developing a sensor 100 that could be incorporated into the wing 300 and withstand strains throughout the flapping cycle when, in one nonlimiting example, the wing is flapped at 25 Hz. In addition, the sensor 100 in this application should be sensitive enough to detect the relatively small strains experienced in the thin, flexible wings 300 and should not affect the stiffness and overall performance of the wing 300.
By way of further example, in the embodiment shown in
The flapping motion of the wing 300 causes large strains in the substrate 102 that are cyclical based on the flapping frequency. The sensors 100 can be designed to open and close around a specific strain threshold. The sensor 100 is coupled with a pull-down resistor 112 to output a square wave (rising edge when closed, falling edge when open). One benefit of using a contact-based sensor 100 over traditional analog sensors is the signal-to-noise ratio. Traditional strain sensing approaches capture an analog signal using a Wheatstone bridge circuit and amplify it along with noise in the system. The noise must be filtered to obtain a usable signal. This amplification and signal processing takes up space, time, computational power, and electric power. The digital strain sensor 100, on the other hand, has a binary output and the signal can be measured directly using the digital pin on a microcontroller 151 where the sampling rate is not limited by an analog-to-digital converter (ADC) but instead by the clocking speed of the processor of the microcontroller 151. This unique approach to measuring dynamic strain in a substrate 102 creates a type of mechanical filtering in response to the flapping strain as shown in
To generate a signal, in one embodiment shown in
In one embodiment, a quasistatic test of one sensor 100 was carried out to validate a model of the strain and ensure the strain threshold was within the maximum strain during flapping. A cantilever deflection test was done to calculate the strain in the substrate 102 at the sensor's location. The sensor 100 was printed 2 mm from the base of the wing 300. A displacement was then applied at a distance L2=6 mm from the base of the wing 300 to bend the wing until a change in the digital signal was observed, indicating that the switch 111 was closed and the strain threshold had been reached. Photos were taken of the wing before and after the displacement to photogrammetrically calculate the total applied displacement, δ. Using a linear elastic model, the distance from the point of displacement to the sensor 100 and the thickness of the substrate 102 are considered.
Next, three sensors 100 with different designed thresholds were used to test the general response of the sensor 100 on a flapping wing 300 and demonstrate how the signal timing can be affected through sensor design. The three sensors 100 were centered along the chord and placed 2 mm from the base of the wing 300. The sensors 100 were connected to the digital pins on an Arduino UNO microcontroller 151, and the wing 300 was flapped at a frequency of (5 Hz). These parameters can vary in other embodiments.
The third experiment was designed to demonstrate the effect of wind disturbances on the sensors' activation timing. A PET wing 300 was designed with a sensor 100 centered along the chord of the wing 300. This wing 300 was then attached to the shaft of an Aurora Scientific Model 300C-LR Dual-Mode Lever Arm system. The flapping motion of a hawkmoth's wing can be modeled as the sum of two sine waves. A signal was generated with a primary frequency of 25 Hz with a 15° flapping amplitude (A1) and a secondary frequency of 50 Hz with 20% of the primary amplitude, A2.
Wind disturbance can be tested using an experimental setup. A hair dryer was used to generate a wind gust of 3 m/s to provide a disturbance to the flapping wing. A 25 Hz+50 Hz flapping signal activated the motor. The signal was generated in MATLAB and output to the Lever Arm's length driver via a National Instruments X-Series DAQ (see
Sensor data was collected from one sensor 100 during flapping only as well as flapping plus a wind disturbance. Two methods were used to evaluate timing differences when a disturbance was added. In the first, the timing of the rising edge was noted as may be captured using a microcontroller interrupt function (see
Quasistatic test and Model Comparison: After gold is deposited during the fabrication process, residual stresses remain in the substrate and the sensors 100. This residual stress adds an unwanted pre-strain to the wing and the sensors 100. As a result, the dimensions of the fabricated sensor 100 can be significantly different from the design. Instead of using the designed parameters of the sensor 100 in this test to confirm the accuracy of the analytical model, the sensor's fabricated dimensions were obtained using a confocal microscope (Zeiss LSM400). These dimensions were used in the analytical model and gave a theoretical strain threshold of 3.25 millistrain. The results from the quasistatic test indicated an activation at 3.4 millistrain. These numbers show agreement between the model and the experimental results and provide a general guideline for sensor design. It's important to note that there is no mapping between the sensor and strain threshold, but instead the focus is when changes are happening through the modulation of pulses generated by the sensor.
Three Sensor Threshold: The timing of the output of the sensor 100 can be varied using different sensor designs to target different strain thresholds. Three sensors 100 were designed with theoretical strain thresholds of 3000, 3500, and 4000 microstrain, although as indicated in the quasistatic results, the fabricated strain thresholds can differ significantly from the designs. Further, the sensor 100 can be designed with different strain thresholds by varying varying the geometric parameters of the sensor 100. For example, the strain threshold can be achieved by varying the length of the beams 101, the angle between the beams 101, the gap between the beams 101, and the height of the sensor 100 and its components 101/102. A longer sensor 100 for instance is more sensitive to strain and thus activates at a lower strain threshold. A lower angle or a smaller gap also increases the sensitivity. A taller sensor 100 would also be more sensitive. These parameters can be changed individually or together to achieve a desired strain threshold.
The sensors 100 were tested on a wing with a flapping frequency of 5 Hz.
Detecting disturbances with rising edge: In one embodiment, a single sensor 100 was tested with flapping only and flapping with a 3 m/s wind disturbance. The timing of the rising edge of the square wave was measured and plotted to emulate the action potentials of the hawkmoth (see
While a sensor 100 used with a flexible wing 300 is discussed in the above example, the sensor 100 can be used to detect any strain-related event in which a threshold is exceeded by identifying the rising edge. For example, if a beam or plate bends beyond a particular threshold, the sensor 100 could indicate the event. In this example, the sensor 100 could be incorporated into a package and indicate tampering if the tampering causes the strain to exceed the threshold.
Detecting disturbances with pulse width: Next, the pulse width of the sensor's digital output was plotted. In this case, the pulse width represented approximately one third of a total wingbeat period at approximately 14 ms when no disturbance was applied. The applied wind disturbance is shown as a clear deviation from the nominal pulse width in
When used in this specification and claims, the terms “comprises” and “comprising” and variations thereof mean that the specified features, steps, or integers are included. The terms are not to be interpreted to exclude the presence of other features, steps or components.
The invention may also broadly consist in the parts, elements, steps, examples and/or features referred to or indicated in the specification individually or collectively in any and all combinations of two or more said parts, elements, steps, examples and/or features. In particular, one or more features in any of the embodiments described herein may be combined with one or more features from any other embodiment(s) described herein.
Protection may be sought for any features disclosed in any one or more published documents referenced herein in combination with the present disclosure. Although certain example embodiments of the invention have been described, the scope of the appended claims is not intended to be limited solely to these embodiments. The claims are to be construed literally, purposively, and/or to encompass equivalents.
This application claims the benefit under 35 U.S.C. § 119 of U.S. Provisional Application Ser. No. 63/471,027, filed on Jun. 5, 2023, which is incorporated herein by reference.
This invention was made with United States government support under FA9550-19-1-0386 and FA9550-14-1-0398 awarded by the Air Force Office of Scientific Research (AFSOR). The U.S. government has certain rights in the invention.
Number | Date | Country | |
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63471027 | Jun 2023 | US |