导电体
材料科学
弹性体
压阻效应
磁滞
信号(编程语言)
标度系数
软机器人
计算机科学
纳米技术
复合材料
执行机构
制作
物理
医学
替代医学
病理
量子力学
人工智能
程序设计语言
作者
Jianhao Li,Zhongwen Yao,Xiancun Meng,Xiangxiang Zhang,Ze Wang,Jingxiang Wang,Guoliang Ma,Linpeng Liu,Junqiu Zhang,Shichao Niu,Zhiwu Han,Luquan Ren
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-01-10
卷期号:18 (3): 2520-2530
被引量:4
标识
DOI:10.1021/acsnano.3c11711
摘要
Stretchable flexible strain sensors based on conductive elastomers are rapidly emerging as a highly promising candidate for popular wearable flexible electronic and soft-mechanical sensing devices. However, due to the intrinsic limitations of low fidelity and high hysteresis, existing flexible strain sensors are unable to exploit their full application potential. Herein, a design strategy for a successive three-dimensional crack conductive network is proposed to cope with the uncoordinated variation of the output resistance signal arising from the conductive elastomer. The electrical characteristics of the sensor are dominated by the successive crack conductive network through a greater resistance variation and a concise sensing mechanism. As a result, the developed elastomer bionic strain sensors exhibit excellent sensing performance in terms of a smaller overshoot response, a lower hysteresis (∼2.9%), and an ultralow detection limit (0.00179%). What's more, the proposed strategy is universal and applicable to many conductive elastomers with different conductive fillers (including 0-D, 1-D, and 2-D conductive fillers). This approach improves the sensing signal accuracy and reliability of conductive elastomer strain sensors and holds promising potential for various applications in the fields of e-skin and soft robotic systems.
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