具有高伸展性和稳定性的微网状强化应变传感器,用于全方位和周期性人体运动监测

IF 22.7 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Infomat Pub Date : 2024-03-04 DOI:10.1002/inf2.12511
Haidong Liu, Chang Liu, Jinan Luo, Hao Tang, Yuanfang Li, Houfang Liu, Jingzhi Wu, Fei Han, Zhiyuan Liu, Jianhe Guo, Rongwei Tan, Tian-Ling Ren, Yancong Qiao, Jianhua Zhou
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引用次数: 0

摘要

开发具有高拉伸性和稳定性的应变传感器是实现可穿戴电子设备全方位和长期使用的必然要求。本文制备了一种具有高拉伸性和稳定性的电阻式微网增强应变传感器(MRSS),它由激光刻蚀石墨烯(LSG)层和嵌入 Ecoflex 的两个苯乙烯-块状-聚(乙烯-ran-丁烯)-块状-聚苯乙烯微网层组成。微网增强结构使 MRSS 具有高拉伸性(120%)、出色的稳定性(11 000 次循环后重复误差为 0.8%)和卓越的灵敏度(100% 以上的测量系数高达 2692)等综合特性。令人印象深刻的是,即使拉伸到 300%,MRSS 仍可在工作范围内持续使用而不会损坏。此外,与不同结构的传感器相比,MRSS 的高拉伸性和稳定性的机理也得到了阐明。此外,还根据 LSG 的分层结构和裂纹形态,提出了一个多层有限元模型,以研究 MRSS 的应变传感行为和失效机理。最后,由于性能卓越,MRSS 不仅在监测全方位人体运动方面表现出色,而且还在神经网络算法的辅助下实现了对各种呼吸活动和手势的智能识别(准确率分别高达 94.29% 和 100%)。这项工作为设计高性能电阻应变传感器提供了一种新方法,并在全方位和长期智能健康管理及人机交互应用方面显示出巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Micromesh reinforced strain sensor with high stretchability and stability for full-range and periodic human motions monitoring

The development of strain sensors with high stretchability and stability is an inevitable requirement for achieving full-range and long-term use of wearable electronic devices. Herein, a resistive micromesh reinforced strain sensor (MRSS) with high stretchability and stability is prepared, consisting of a laser-scribed graphene (LSG) layer and two styrene-block-poly(ethylene-ran-butylene)-block-poly-styrene micromesh layers embedded in Ecoflex. The micromesh reinforced structure endows the MRSS with combined characteristics of a high stretchability (120%), excellent stability (with a repetition error of 0.8% after 11 000 cycles), and outstanding sensitivity (gauge factor up to 2692 beyond 100%). Impressively, the MRSS can still be used continauously within the working range without damage, even if stretched to 300%. Furthermore, compared with different structure sensors, the mechanism of the MRSS with high stretchability and stability is elucidated. What's more, a multilayer finite element model, based on the layered structure of the LSG and the morphology of the cracks, is proposed to investigate the strain sensing behavior and failure mechanism of the MRSS. Finally, due to the outstanding performance, the MRSS not only performes well in monitoring full-range human motions, but also achieves intelligent recognitions of various respiratory activities and gestures assisted by neural network algorithms (the accuracy up to 94.29% and 100%, respectively). This work provides a new approach for designing high-performance resistive strain sensors and shows great potential in full-range and long-term intelligent health management and human–machine interactions applications.

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来源期刊
Infomat
Infomat MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
37.70
自引率
3.10%
发文量
111
审稿时长
8 weeks
期刊介绍: InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.
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