Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 38, 24 June 2024


Open Access | Article

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.

Theoretical and Natural Science, Vol. 38, 78-88
Published 24 June 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Qiyao Jiang. Word high gauge factor flexible capacitive strain sensor based on auxetic structure. TNS (2024) Vol. 38: 78-88. DOI: 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

References

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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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Volume Title
Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
ISBN (Print)
978-1-83558-461-3
ISBN (Online)
978-1-83558-462-0
Published Date
24 June 2024
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/38/20240516
Copyright
24 June 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated