Word high gauge factor flexible capacitive strain sensor based on auxetic structure

Qiyao Jiang

doi:10.54254/2753-8818/38/20240516

Research Article

Open access

Published on 24 June 2024

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Jiang,Q. (2024). Word high gauge factor flexible capacitive strain sensor based on auxetic structure. Theoretical and Natural Science,38,78-88.

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Word high gauge factor flexible capacitive strain sensor based on auxetic structure

Qiyao Jiang *^,1,

¹ United World College

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/38/20240516

Abstract

Capacitive flexible stretch sensors, compared to resistive ones, offer better linearity and are thus more promising for human motion detection applications. Current capacitive sensors, however, face challenges in effectively enhancing their Gauge Factor (GF), limiting their sensitivity. This paper presents a capacitive stretch sensor utilizing a negative Poisson’s ratio structure made of high Shore hardness silicone as the framework and low Shore hardness silicone as the dielectric layer. Liquid metal composite material is used for the electrodes. Finite element simulation validated the sensor’s stretching effect. The sensor achieved a sensitivity of 2 pf/mm and a GF value of 2.19. Its efficacy is demonstrated through the measurement of finger joint movements, indicating broad application potential in human motion detection.

Keywords

Capacitive Strain Sensor, Negative Poisson’s Ratio Structure, High Strain Factor

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References

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Cite this article

Jiang,Q. (2024). Word high gauge factor flexible capacitive strain sensor based on auxetic structure. Theoretical and Natural Science,38,78-88.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation

Conference website: https://www.confmpcs.org/

ISBN：978-1-83558-461-3(Print) / 978-1-83558-462-0(Online)

Conference date: 9 August 2024

Editor：Anil Fernando

Series: Theoretical and Natural Science

Volume number: Vol.38

ISSN：2753-8818(Print) / 2753-8826(Online)

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