Paper
28 February 2024 Experimental research on torque sensor based on Galfenol alloy
Xiaoxing Zhang, Ning Qin, Qinghua Cao, Fei Xia, Qi Yao, Yingting Zhang, Yuting Tang, Zihao Xu, Bailin Zhang, Ruixiang Chen, Junshuo Shao
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130710I (2024) https://doi.org/10.1117/12.3025591
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
The three-dimensional simulation model of torque sensor is established by finite element, the overall structure of the sensor is optimized, and the magnetic flux distribution and output voltage of the optimized structure are simulated, and the output data are obtained. Finally, a experimental platform is built to measure the static characteristics of the torque sensor. the sensitivity is 0.688 mV/Nm when loading, 0.597mV/Nm when unloading. The error of simulation output data is compared with the actual experimental data. When loading, the error is about 4.36% and the accuracy is 6.31%. During unloading, the error is about 5.14% and the precision is 6.59%. This paper shows that the torque sensor based on Galfenol alloy has a considerable effect, which provides reference for torque sensor.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoxing Zhang, Ning Qin, Qinghua Cao, Fei Xia, Qi Yao, Yingting Zhang, Yuting Tang, Zihao Xu, Bailin Zhang, Ruixiang Chen, and Junshuo Shao "Experimental research on torque sensor based on Galfenol alloy", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130710I (28 February 2024); https://doi.org/10.1117/12.3025591
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KEYWORDS
Sensors

Magnetism

3D modeling

Alloys

Design

Prototyping

Engineering

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