A Three-Dimensional Finite Element Analysis Model for SH-SAW Torque Sensors
Chao Jiang1, Yanqin Chen2, Chongdu Cho3
1Department of Mechanical Engineering, Inha University, Incheon 22212, Korea. chiaojiang@inha.edu.
Sensors (Basel, Switzerland)
|October 19, 2019
Summary
This study presents a 3D-FEA model for shear horizontal surface acoustic wave (SH-SAW) torque sensors. Optimized Y-cut quartz substrates with gold layers effectively excite SH-SAWs, demonstrating linear torque sensing performance.
Area of Science:
- Acoustics
- Materials Science
- Sensor Technology
Background:
- Torque sensors are crucial for reliable torque transmission in drivelines.
- Shear horizontal surface acoustic wave (SH-SAW) sensors offer advantages like high velocity and Q-value, but require further research.
- Understanding SH-SAW characteristics and torque sensing modes is essential for sensor development.
Purpose of the Study:
- To develop a three-dimensional finite element analysis (3D-FEA) model for SH-SAW torque sensors.
- To investigate the influence of Y-cut quartz substrates and waveguide layer properties on SH-SAW generation.
- To analyze the torque sensing performance of the developed FEA model.
Main Methods:
- Utilized three-dimensional finite element analysis (3D-FEA) to model SH-SAW propagation.
- Investigated various Y-cut quartz substrate angles and waveguide layer materials (Au, Pt, Ti, SiO2).
- Analyzed the effect of waveguide layer thickness to wavelength ratios (h) on wave characteristics.
Main Results:
- Identified Y-cut quartz at approximately 36° with a gold (Au) layer (h=0.02-0.03) as optimal for SH-SAW excitation.
- Compared the performance of different substrate and waveguide configurations.
- The FEA model with a Y+36° quartz substrate and 0.025λ-thick gold layer showed perfect linearity between applied torque and sensed voltage.
Conclusions:
- The optimized SH-SAW torque sensor configuration demonstrates excellent performance.
- FEA modeling is a valuable tool for understanding and developing SH-SAW based sensors.
- This research contributes to the advancement of reliable and efficient torque sensing technologies.
Keywords:
quartzshear horizontal surface acoustic wave (SH-SAW)three-dimensional finite element analysis (3D-FEA)torque sensingMore Related Videos
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