Theoretical Assessment Model and Simulation Verification of Temperature Effects in Suspended Adhesive MEMS Accelerometers

The temperature effect of the sensor’s performance is analyzed by establishing a general mechanical-thermal coupling model. Specifically, the model isolates the thermal effects of materials and electrical thermal effects from the mechanical structure, thereby simplifying the analysis of temperature influences on the mechanical system. By this way, the input-output relationship under various temperature conditions is derived, and analytical expressions for the temperature drift of bias (TDB) and the temperature drift of scale factor (TDSF) are established. Additionally, to verify the accuracy of the model, numerical simulations are conducted. The results show that the relative error is within 3%. The errors of TDB and TDSF are 2.24% and 3.85%, respectively. This demonstrates the model’s ability to accurately predict the impact of temperature changes on sensor output, confirming its reliability and precision.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-07
DOI
https://doi.org/10.1109/jsen.2025.3565722
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Theoretical Assessment Model and Simulation Verification of Temperature Effects in Suspended Adhesive MEMS Accelerometers

Tiantong Xu, Yanxin Zhai, Z. Wang, Xiaoda Cao et al.
IEEE Sensors Journal
Advanced MEMS and NEMS Technologies
article

Theoretical Assessment Model and Simulation Verification of Temperature Effects in Suspended Adhesive MEMS Accelerometers

Tiantong Xu, Yanxin Zhai, Z. Wang, Xiaoda Cao, Haiwang Li, Haonan Lu
article en

Abstract

The temperature effect of the sensor’s performance is analyzed by establishing a general mechanical-thermal coupling model. Specifically, the model isolates the thermal effects of materials and electrical thermal effects from the mechanical structure, thereby simplifying the analysis of temperature influences on the mechanical system. By this way, the input-output relationship under various temperature conditions is derived, and analytical expressions for the temperature drift of bias (TDB) and the temperature drift of scale factor (TDSF) are established. Additionally, to verify the accuracy of the model, numerical simulations are conducted. The results show that the relative error is within 3%. The errors of TDB and TDSF are 2.24% and 3.85%, respectively. This demonstrates the model’s ability to accurately predict the impact of temperature changes on sensor output, confirming its reliability and precision.

IEEE Sensors JournalVol. 25(12)
Beihang University (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 92%
Advanced MEMS and NEMS Technologies
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