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Open AccessArticle

Enhancing the Linearity and Stability of a Fabric-Based Strain Sensor with Microfolded Graphene Structures

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College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210049, China
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College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210049, China
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Office of Scientific R&D, Nanjing University of Posts and Telecommunications, Nanjing 210049, China
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School of Art and Design, Yangzhou University, Yangzhou 225009, China
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Jiangsu College of Engineering and Technology, Nantong 226007, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6230; https://doi.org/10.3390/app10186230
Received: 7 July 2020 / Revised: 18 August 2020 / Accepted: 27 August 2020 / Published: 8 September 2020
(This article belongs to the Section Mechanical Engineering)
Fabric-based strain sensors can be seamlessly integrated into wearable systems for monitoring various physiological signals. Although many different approaches have been proposed to increase the sensitivity of the fabric-based strain sensor, the linearity and stability in large strains are still challenging. In this paper, a fabric-based strain sensor with good linearity and stability was fabricated via a three-step dip-coating method. Specifically, the combination of multiwall carbon nanotubes and reduced graphene oxide was used as the conductive material to enhance the stability. Meanwhile, microfolded structures between two reduced graphene oxide layers were created via pre-stretching to achieve good linearity. Through mechanical experiments, the performance of the fabric-based strain sensor was characterized. In addition, the practical applications of the strain sensor were demonstrated by monitoring different physiological signals. View Full-Text
Keywords: fabric-based strain sensor; graphene; dip-coating; linearity; stability fabric-based strain sensor; graphene; dip-coating; linearity; stability
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MDPI and ACS Style

Xu, R.; Zheng, X.; Chen, M.; Sun, L.; Chen, J.; Wang, F.; Ma, Y. Enhancing the Linearity and Stability of a Fabric-Based Strain Sensor with Microfolded Graphene Structures. Appl. Sci. 2020, 10, 6230.

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