Resistive and capacitive strain sensors based on customized compliant electrode: Comparison and their wearable applications

电容感应 电阻式触摸屏 材料科学 电极 光电子学 声学 电气工程 工程类 物理 物理化学 化学
作者
Tianyun Dong,Yu Gu,Tao Liu,Michael Pecht
出处
期刊:Sensors and Actuators A-physical [Elsevier BV]
卷期号:326: 112720-112720 被引量:67
标识
DOI:10.1016/j.sna.2021.112720
摘要

The demand for stretchable strain sensors has increased exponentially due to their ideal interaction with the human body. However, developing stretchable strain sensors with balanced properties such as a low Young’s modulus, easy fabrication, low cost, large deformation, and fast response time remains a challenge. In this study, we simultaneously prepared two high-performance types of stretchable strain sensors (resistive and capacitive sensors) based on customized compliant electrode. The electrode was developed by embedding multi-walled carbon nanotubes (MCNTs) into plasticized polyvinyl chloride (PVC) using the solvent casting method. The resistive strain sensor was fabricated by the compliant electrode and 3 M 4905 tapes in a sandwich structure. The capacitive sensor was obtained after simple stacking steps based on the preparation of resistive sensor. Then, the performance of the resistive and capacitive sensors was investigated, compared and discussed. The results show that both resistive and capacitive sensors have good static and dynamic performance. The two types of sensors have maximum tensile strain of more than 100 %, low Young's modulus less than 200 kPa, and fast response time less than 140 ms. The linearity of capacitive sensor is better than that of resistive sensor. The repeatability of capacitive sensor is better than that of resistive sensor during a long period. The resistive sensor has higher sensitivity (1.16) than the capacitive sensor (0.44), and has better signal anti-interference capability. Finally, the developed resistive and capacitive sensor were used to monitor the motion status of human joints and the motion angle of human joint, respectively, resulting in accurate sensing of human movement.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ava应助机智的思山采纳,获得10
刚刚
冷静青文完成签到,获得积分10
刚刚
小梦完成签到,获得积分10
刚刚
刚刚
1秒前
1秒前
1秒前
sgssm发布了新的文献求助10
2秒前
所所应助之仔饼采纳,获得10
2秒前
Jindyla完成签到,获得积分10
2秒前
史迪仔发布了新的文献求助100
3秒前
3秒前
3秒前
我是老大应助TORCH采纳,获得30
3秒前
浅陌初心完成签到 ,获得积分10
3秒前
嘎嘎嘎完成签到,获得积分10
3秒前
4秒前
CodeCraft应助zhuhan采纳,获得10
4秒前
我是老大应助赵清采纳,获得10
4秒前
学习通发布了新的文献求助10
4秒前
17发布了新的文献求助30
4秒前
5秒前
时间纬度完成签到,获得积分10
5秒前
无昵称完成签到,获得积分10
5秒前
jia完成签到 ,获得积分10
6秒前
xiaobao完成签到,获得积分10
6秒前
Underwood111完成签到,获得积分10
6秒前
超级老三完成签到,获得积分10
6秒前
852应助LGH采纳,获得10
6秒前
6秒前
贾克斯完成签到,获得积分20
6秒前
Willow完成签到,获得积分10
6秒前
美满的新烟完成签到 ,获得积分10
6秒前
7秒前
欣欣发布了新的文献求助10
7秒前
7秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
coconut完成签到 ,获得积分10
8秒前
Freya发布了新的文献求助30
8秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3666840
求助须知:如何正确求助?哪些是违规求助? 3225706
关于积分的说明 9764854
捐赠科研通 2935572
什么是DOI,文献DOI怎么找? 1607763
邀请新用户注册赠送积分活动 759353
科研通“疑难数据库(出版商)”最低求助积分说明 735287