Synthesis and Fabrication of Supramolecular Polydimethylsiloxane-Based Nanocomposite Elastomer for Versatile and Intelligent Sensing

Abstract

High-performance strain sensors featuring self-healing ability and high stretchability are desired for human motion detection, soft robotics, and diver intelligent applications. Herein, a novel self-healing elastomer was synthesized via a facile one-pot polycondensation reaction between bis(3-aminopropyl) terminated polydimethylsiloxane and 2,4’-tolylene diisocyanate, followed by introducing carboxyl-functionalized multiwalled carbon nanotubes (CNTs). The physically entangled linear molecular chains and multiple hydrogen bonds endowed elastomer with a remarkable healing efficiency of 98.1% and outstanding stretchability of over 1000%. Owing to the conductive network constructed by the uniformly dispersed CNT, the nanocomposite elastomer-based strain sensor achieved a high gauge factor of 2.43 and its sensing performance could be well regained after self-healing. The strain sensor was successfully used for detecting various human motions and distinguishing facial microexpressions. Moreover, the nanocomposite elastomer applied on a grip ball and woolen glove as sensing units rendered them with the ability of grip force detection and sign language recognition. This work offers a new route and a promising self-healing nanocomposite elastomer for the development of recyclable and sustainable high-performance strain sensors and prospects its advanced intelligent applications.

Publication DOI: https://doi.org/10.1021/acs.iecr.1c01575
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
Additional Information: This document is the Accepted Manuscript version of a Published Work that appeared in final form in Industrial & Engineering Chemistry Research, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acs.iecr.1c01575 Funding: The authors would like to acknowledge the financial support of the Natural Research Science Foundation of Hunan Province (2020JJ4266), the Research Project of the Educational Commission of Hunan Province (18B297)
Uncontrolled Keywords: Chemistry(all),Chemical Engineering(all),Industrial and Manufacturing Engineering
Full Text Link:
Related URLs: https://pubs.ac ... cs.iecr.1c01575 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-07-21
Published Online Date: 2021-07-08
Accepted Date: 2021-06-28
Authors: Jing, Xin
Ma, Zhenping
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)
Wang, Lin
Li, Heng
Mi, Hao-Yang
Feng, Pei-Yong
Liu, Yuejun

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 8 July 2022.


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