A high-performance porous flexible composite film sensor for tension monitoring
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Published version
Author(s)
Type
Journal Article
Abstract
Flexible, lightweight sensors with a wide strain-sensing range are showing increasing significance in structural health monitoring compared with conventional hard sensors, which typically have a small strain range, are heavyweight, and have a large volume. In this work, salt particle precipitation and mechanical coating methods are used to fabricate porous graphene nanoplatelet (GNP)/polydimethylsiloxane (PDMS) flexible sensors for tension monitoring in structural health applications. The signal transformation through the Back Propagation (BP) algorithm is integrated to provide monitoring data that are comparable with other sensors. The results reveal that the flexible sensors with a low content of GNPs (0.1-0.25 wt%) possess better flexibility, allowing tensile strains over 200% to be measured. In addition, due to the enhanced deformation capacity of the pore structures, they can achieve high sensitivity (1-1000) under 65% strain, and a fast response time (70 ms) under 10% strain at 60 mm min-1. They also show high performance in the fatigue test (20 000 cycles) under 5% strain, and can effectively respond to bending and torsion. In addition, the sensors show an obvious response to temperature. Overall, the prepared flexible composite sensors in this work have the advantages of a wide strain-sensing range, a full-coverage conductive network, and being lightweight, and show potential for structural health monitoring in the near future.
Date Issued
2022-09-12
Date Acceptance
2022-08-10
Citation
RSC Advances: an international journal to further the chemical sciences, 2022, 12 (40), pp.26285-26296
ISSN
2046-2069
Publisher
Royal Society of Chemistry
Start Page
26285
End Page
26296
Journal / Book Title
RSC Advances: an international journal to further the chemical sciences
Volume
12
Issue
40
Copyright Statement
© 2022 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under aCreative Commons Attribution-NonCommercial 3.0 Unported Licence (https://creativecommons.org/licenses/by-nc/3.0/)
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/36275087
PII: d2ra03284h
Subjects
03 Chemical Sciences
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2022-09-15