Literature DB >> 33541076

Superelastic, Fatigue-Resistant, and Flame-Retardant Spongy Conductor for Human Motion Detection against a Harsh High-Temperature Condition.

Zhichong Liu1, Kening Wan2, Tianyi Zhu1, Jixin Zhu3, Jingsan Xu4, Chao Zhang1, Tianxi Liu1,5.   

Abstract

The construction of wearable piezoresistive sensors with high elasticity, large gauge factor, and excellent durability in a harsh high-temperature environment is highly desired yet challenging. Here, a lightweight, superelastic, and fatigue-resistant spongy conductor was fabricated via a sponge-constrained network assembly, during which highly conductive graphene and flame-retardant montmorillonite were alternatively deposited on a three-dimensional melamine scaffold. The as-obtained spongy conductor exhibited a highly deformation-tolerant conductivity up to 80% strain and excellent fatigue resistance of 10,000 compressive cycles at 70% strain. As a result, the spongy conductor can readily work as a piezoresistive sensor and exhibited a high gauge factor value of ∼2.3 in a strain range of 60-80% and excellent durability under 60% strain for 10,000 cycles without sacrificing its piezoresistive performance. Additionally, the piezoresistive sensor showed great thermal stability up to 250 °C for more than 7 days and sufficient flame-retardant performance for at least 20 s. This lightweight, superelastic, and flame-retardant spongy conductor reveals tremendous potential in human motion detection against a harsh high-temperature environment.

Entities:  

Keywords:  elasticity; flame-retardant property; sponge-constrained network assembly; spongy conductor; wearable piezoresistive sensor

Year:  2021        PMID: 33541076     DOI: 10.1021/acsami.0c20852

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Ultrahigh compressibility and superior elasticity carbon framework derived from shaddock peel for high-performance pressure sensing.

Authors:  Na Zheng; Changzhou Chen; Mengqi Tang; Weixin Wu; Yan Jiang; Douyong Min
Journal:  RSC Adv       Date:  2021-08-25       Impact factor: 4.036

2.  Dense Hydrogen-Bonding Network Boosts Ionic Conductive Hydrogels with Extremely High Toughness, Rapid Self-Recovery, and Autonomous Adhesion for Human-Motion Detection.

Authors:  Bing Zhang; Xu Zhang; Kening Wan; Jixin Zhu; Jingsan Xu; Chao Zhang; Tianxi Liu
Journal:  Research (Wash D C)       Date:  2021-04-15
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.