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

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

Content Provider	MDPI
Author	Xu, Rongqing Zheng, Xin Chen, Miao Sun, Lijun Chen, Jiangwei Wang, Fangfang Ma, Yun
Copyright Year	2020
Description	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.
Starting Page	6230
e-ISSN	20763417
DOI	10.3390/app10186230
Journal	Applied Sciences
Issue Number	18
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2020-09-08
Access Restriction	Open
Subject Keyword	Applied Sciences Textiles Fabric-based Strain Sensor Graphene Dip-coating Linearity Stability
Content Type	Text
Resource Type	Article

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