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Title: Design of a wearable and shape-memory fibriform sensor for the detection of multimodal deformation
Authors: Li, Li
Shi, Peipei
Hua, Li
An, Jianing
Gong, Yujiao
Chen, Ruyi
Yu, Chenyang
Hua, Weiwei
Xiu, Fei
Zhou, Jinyuan
Gao, Guangfa
Jin, Zhong
Sun, Gengzhi
Huang, Wei
Keywords: Engineering::Mechanical engineering
Issue Date: 2017
Source: Li, L., Shi, P., Hua, L., An, J., Gong, Y., Chen, R., . . . Huang, W. (2018). Design of a wearable and shape-memory fibriform sensor for the detection of multimodal deformation. Nanoscale, 10(1), 118-123. doi:10.1039/c7nr06219b
Journal: Nanoscale
Abstract: A wearable and shape-memory strain sensor with a coaxial configuration is designed, comprising a thermoplastic polyurethane fiber as the core support, well-aligned and interconnected carbon nanotubes (CNTs) as conductive filaments, and polypyrrole (PPy) coating as the cladding layer. In this design, the stress relaxation between CNTs is well confined by the outer PPy cladding layer, which endows the fibriform sensor with good reliability and repeatability. The microcracks generated when the coaxial fiber is under strain guarantee the superior sensitivity of this fibriform sensor with a gauge factor of 12 at 0.1% strain, a wide detectable range (from 0.1% to 50% tensile strain), and the ability to detect multimodal deformation (tension, bending, and torsion) and human motions (finger bending, breathing, and phonation). In addition, due to its shape-memory characteristic, the sensing performance of the fibriform sensor is well retained after its shape recovers from 50% deformation and the fabric woven from the shape-memory coaxial fibers can be worn on the elbow joints in a reversible manner (original-enlarged-recovered) and fitted tightly. Thus, this sensor shows promising applications in wearable electronics.
ISSN: 2040-3364
DOI: 10.1039/c7nr06219b
Rights: © 2018 The Royal Society of Chemistry. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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