Fully‐Recyclable Green and Fire‐Resistant Triboelectric Elastomer via Geometrical Synergistic Fillers and Its Applications for Smart Firefighting Boots

Author:

Chu Junfeng12,Wu Wenjie3ORCID,Wei Yi12,Wang Zhong Lin45ORCID,Chen Xiangyu4,Zhang Liqun123

Affiliation:

1. Center of Advanced Elastomer Materials State Key Laboratory of Organic‐Inorganic Composites Beijing University of Chemical Technology Beijing 100029 P. R. China

2. Engineering Research Center of Ministry of Education on Energy and Resource Saved Elastomers Beijing University of Chemical Technology Beijing 100029 P. R. China

3. Institute of Emergent Elastomers, Guangzhou International Campus South China University of Technology Guangzhou 511442 P. R. China

4. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 100140 P. R. China

5. School of Material Science and Engineering Georgia Institute of Technology Atlanta Georgia 30332‐0245 USA

Abstract

AbstractWearable sensors for high temperatures (WSHT) applications pose a significant challenge in the electronics field due to the inherent inability of most electronics to function in harsh environments. Triboelectric nanogenerators (TENG) present a substantial potential for applications in such challenging conditions. Herein, a fully‐recyclable flame‐retardant triboelectric elastomer is developed, which exhibits superior charge stability under high temperature conditions and proposes the specially designed synergistic fillers that play a dual role by trapping more charges into the interface and stabilizing the char layers via layer‐ball‐layer structure. An efficient flame‐retardant system is presented, which exhibits a 31% lower fire growth index than the individual components. The maximum surface charge density of this triboelectric elastomer can reach 361 µC m−2, while this surface charge density can be preserved to 70.9% after 16 s of combustion (≈520 °C) and to 37.9% by continuously working at 130 °C. At last, utilizing this flame‐retardant triboelectric elastomer, smart firemen's boots featuring gait analysis for identification and second level early warning systems have been developed. This work paves the way for the development of triboelectric materials and intelligent wearable devices suitable for applications in harsh environments.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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