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Issue 13, 2017
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Smart wearable Kevlar-based safeguarding electronic textile with excellent sensing performance

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Abstract

A novel S-ST/MWCNT/Kevlar-based wearable electronic textile (WET) with enhanced safeguarding performance and force sensing ability was fabricated. Stab resistance performance tests under quasi-static and dynamic conditions show that the maximum resistance force and penetration impact energy for the WET are 18 N and 11.76 J, which represent a 90% and 50% increment with respect to the neat Kevlar, respectively. Dynamic impact resistance tests show that the WET absorbs all the impact energy. The maximum resistance force of the WET is 1052 N, which represents an improvement of about 190% with respect to neat Kevlar. With the incorporation of multi-walled carbon nanotubes (MWCNTs), the WET can achieve a stable electrical conductivity of ∼10−2 S m−1, and the conductivity is highly sensitive to external mechanic forces. Notably, the sensing fabric also exhibits an outstanding ability to detect and analyze external forces. In addition, it can be fixed at any position of the human body and exhibits an ideal monitoring performance. Because of its flexibility, high sensitivity to various types of deformations and excellent safeguarding performance, the WET has a strong potential for wearable monitoring devices that simultaneously provide body protection and monitor the movements of the human body under various conditions.

Graphical abstract: Smart wearable Kevlar-based safeguarding electronic textile with excellent sensing performance

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Publication details

The article was received on 15 Jan 2017, accepted on 28 Feb 2017, published on 01 Mar 2017 and first published online on 01 Mar 2017


Article type: Paper
DOI: 10.1039/C7SM00095B
Citation: Soft Matter, 2017,13, 2483-2491
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    Smart wearable Kevlar-based safeguarding electronic textile with excellent sensing performance

    S. Wang, S. Xuan, M. Liu, L. Bai, S. Zhang, M. Sang, W. Jiang and X. Gong, Soft Matter, 2017, 13, 2483
    DOI: 10.1039/C7SM00095B

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