Design of a wearable and shape-memory fibriform sensor for the detection of multimodal deformation

Li Li, Peipei Shi, Li Hua, Jianing An, Yujiao Gong, Ruyi Chen, Chenyang Yu, Weiwei Hua, Fei Xiu, Jinyuan Zhou, Guangfa Gao, Zhong Jin, Gengzhi Sun, Wei Huang

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65 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)118-123
页数6
期刊Nanoscale
10
1
DOI
出版状态已出版 - 7 1月 2018

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