A novel study on the sandwich‐structure strain sensor using ethylene‐vinyl acetate‐based hot‐melt adhesive mesh web: Fabrication, properties, and modeling

In this study, a flexible strain sensor consisting of carbon nanotubes (CNTs) and ethylene‐vinyl acetate (EVA)‐based hot‐melt adhesive web (HAW) is proposed with the advantages of low cost and easy fabrication. Six different weight fractions of the CNTs were employed in producing the three‐layer san...

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Bibliographic Details
Published in:Journal of applied polymer science 2022-12, Vol.139 (48), p.n/a
Main Authors: Qu, Muchao, Fang, Jiaqiang, Mu, Chenzhong, Li, Yanfeng, Huang, Shaojuan, Han, Lei, Hiemer, Stefan, Xu, Wei, Qin, Yijing
Format: Article
Language:English
Subjects:
Carbon nanotubes
Ethylene vinyl acetates
Finite element method
Fractions
Materials science
Mathematical analysis
Mechanical properties
Membranes
morphology
nanotubes
Polymers
Sensors
theory and modeling
Vinyl acetate
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Summary:In this study, a flexible strain sensor consisting of carbon nanotubes (CNTs) and ethylene‐vinyl acetate (EVA)‐based hot‐melt adhesive web (HAW) is proposed with the advantages of low cost and easy fabrication. Six different weight fractions of the CNTs were employed in producing the three‐layer sandwich‐structure composite membrane. The morphology and internal particle structure of the cross section of the EVA/CNTs composite membranes was studied using scanning electron microscopy. The mechanical properties as well as the mechanical–electrical behavior of the EVA/CNTs sensors were investigated, showing a gauge factor up to 477. In addition, two mathematical equations to establish the relationship between the output electrical signal and the input strain signal during the monotonic and cyclic measurements were proposed, respectively. Overall, this study provides a solvent‐free one‐step approach for the preparation of flexible strain sensors with innovative and broad application prospects, and offers some insight into the mathematical prediction of the strain sensing behavior.
ISSN:0021-8995
1097-4628
DOI:10.1002/app.53209