Highly durability carbon fabric strain sensor: Monitoring environmental changes and tracking human motion

IF 3.1 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Tae Won Ha , Chil-Hyoung Lee , Dae Yun Lim , Young Baek Kim , Hyunjin Cho , Jin Hyeok Kim , Dong-Su Kim
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Abstract

Recently, e-textile-based strain sensors have been extensively researched for monitoring human motion across various environments. For practical use, fabric sensors must be both comfortable and durable when worn on the skin or integrated into clothing. This study fabricated a strain sensor using a versatile three-dimensional porous carbon fabric. Its performance was evaluated through tests measuring resistance changes under strain and relaxation, moisture absorption stability, tensile strength, temperature sensitivity, and durability over 1,000 repetitive tensile cycles. The sensor demonstrated the capability to detect small changes in ΔR/R₀ of <0.05 % and maintained excellent conductivity, remaining below 20 Ω sq−1, even in water. It also exhibited high elasticity and flexibility, achieving up to 50 % elongation and remaining stable over 1,000 repeated measurements. To classify complex finger movements, sensors were attached to the proximal interphalangeal (PIP) joints, allowing simultaneous detection of each finger's motion. Designed as a garment, the carbon fabric strain sensor shows potential for detecting human motion underwater or in extreme environments, with fast response times and high sensitivity.

Abstract Image

高耐久性碳织物应变传感器:监测环境变化和跟踪人体运动
近年来,基于电子纺织品的应变传感器已被广泛研究用于监测各种环境下的人体运动。在实际应用中,织物传感器佩戴在皮肤上或集成在衣服上时必须既舒适又耐用。本研究利用多功能三维多孔碳织物制作应变传感器。通过测量应变和松弛下的阻力变化、吸湿稳定性、拉伸强度、温度敏感性和超过1000次重复拉伸循环的耐久性,对其性能进行了评估。该传感器证明了能够检测ΔR/R 0 (<0.05 %)的微小变化,并保持优异的导电性,即使在水中也保持在20 Ω sq−1以下。它还具有高弹性和柔韧性,伸长率高达50%,并且在1000次重复测量中保持稳定。为了对复杂的手指运动进行分类,传感器被连接到近端指间关节(PIP)上,允许同时检测每个手指的运动。作为一件服装,碳织物应变传感器显示出在水下或极端环境中检测人体运动的潜力,具有快速响应时间和高灵敏度。
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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来源期刊
Carbon Trends
Carbon Trends Materials Science-Materials Science (miscellaneous)
CiteScore
4.60
自引率
0.00%
发文量
88
审稿时长
77 days
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