Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing

Mengxiao Chen, Zhe Wang, Qichong Zhang, Zhixun Wang, Wei Liu, Ming Chen and Lei Wei ()
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Mengxiao Chen: Nanyang Technological University
Zhe Wang: Nanyang Technological University
Qichong Zhang: Nanyang Technological University
Zhixun Wang: Nanyang Technological University
Wei Liu: Nanyang Technological University
Ming Chen: Chinese Academy of Sciences
Lei Wei: Nanyang Technological University

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: Abstract The well-developed preform-to-fiber thermal drawing technique owns the benefit to maintain the cross-section architecture and obtain an individual micro-scale strand of fiber with the extended length up to thousand meters. In this work, we propose and demonstrate a two-step soluble-core fabrication method by combining such an inherently scalable manufacturing method with simple post-draw processing to explore the low viscosity polymer fibers and the potential of soft fiber electronics. As a result, an ultra-stretchable conductive fiber is achieved, which maintains excellent conductivity even under 1900% strain or 1.5 kg load/impact freefalling from 0.8-m height. Moreover, by combining with triboelectric nanogenerator technique, this fiber acts as a self-powered self-adapting multi-dimensional sensor attached on sports gears to monitor sports performance while bearing sudden impacts. Next, owing to its remarkable waterproof and easy packaging properties, this fiber detector can sense different ion movements in various solutions, revealing the promising applications for large-area undersea detection.

Date: 2021
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DOI: 10.1038/s41467-021-21729-9

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