Evidence map›Paper›PMID 40506479›Full record

ArticleMicrosystems & nanoengineering2025

Near-zero nonlinear error pressure sensor based on piezoresistor sensitivity matching for wind tunnel pressure test.

Yuanying Zhang, Fengyun Liu, Zechen Zhou, Xiubing Liang, Riming Sun, Jinjun Deng, Xiaoliang Luo, Jian Lin, Xing Chen, Xingxu Zhang and 3 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yuanying ZhangThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China.
Fengyun LiuThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China.
Zechen ZhouThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China.
Xiubing LiangThe Advanced Interdisciplinary Technology Research Center in National Innovation Institute of Defense Technology, 100071, Beijing, China.
Riming SunThe China Academy of Aerospace Aerodynamics, 100086, Beijing, China.
Jinjun DengThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China.
Xiaoliang LuoThe Advanced Interdisciplinary Technology Research Center in National Innovation Institute of Defense Technology, 100071, Beijing, China.
Jian LinThe China Academy of Aerospace Aerodynamics, 100086, Beijing, China.
Xing ChenThe China Academy of Aerospace Aerodynamics, 100086, Beijing, China.
Xingxu ZhangThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China. zhangxingxu@nwpu.edu.cn.
Jian LuoThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China. jian.luo@nwpu.edu.cn.
Xiaojing WangThe Advanced Interdisciplinary Technology Research Center in National Innovation Institute of Defense Technology, 100071, Beijing, China. wang_xiaojing90@163.com.
Binghe MaThe Key Laboratory of Micro and Nano Systems for Aerospace, Ministry of Education, Northwestern Polytechnical University, 700200, Xi'an, China. mabh@nwpu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62204264
6 · The paper itself

Abstract

High-precision piezoresistive pressure sensors play a significant role in aerospace, automotive, and other fields. Nonlinear error is the key factor that restricts the improvement of the sensor precision. A mathematical model for evaluating the sensor's nonlinear error is established, based on which a piezoresistor sensitivity matching method is proposed to suppress the nonlinear error. By adjusting the piezoresistors' structure and position on the sensing membrane, four piezoresistors with equal sensitivity are obtained, and theoretical quasi-zero nonlinear error is achieved. To verify the design, sensor prototypes are fabricated utilizing the MEMS technology. After sensor packaging, a cylindrical absolute pressure sensor featuring a 4 mm diameter with a range from 0 to 100 kPa is acquired. The experimental results demonstrate the excellent performance of the proposed sensor, which indicates a nonlinear error as low as ±0.004%FS. Besides, the proposed sensor has a sensitivity of 1.6810 mV/kPa, a hysteresis of 0.025%, a repeatability of 0.015%, a zero drift of 0.03%FS, and a 3 dB frequency from 0 to 121.82 kHz. Moreover, the prototype is tested in the Mach 4 wind tunnel, and the measurement error between the proposed sensor and the true pressure is ±0.98%. This paper provides key sensing technology for high-precision surface pressure analysis of aircraft.

Identifiers

PMID40506479
PMCPMC12163088

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.