材料科学
聚二甲基硅氧烷
电阻式触摸屏
压力传感器
碳纳米管
复合材料
压阻效应
纳米技术
抗弯刚度
电阻和电导
机械工程
计算机科学
工程类
计算机视觉
作者
Xin Zhao,Dong Mei,Gangqiang Tang,Chun Zhao,Jianfeng Wang,Minzhou Luo,Lijie Li,Yanjie Wang
出处
期刊:Polymers
[MDPI AG]
日期:2023-03-10
卷期号:15 (6): 1386-1386
被引量:3
标识
DOI:10.3390/polym15061386
摘要
Flexible wearable devices have attracted wide attention in capacious fields because of their real-time and continuous monitoring of human information. The development of flexible sensors and corresponding integration with wearable devices is of great significance to build smart wearable devices. In this work, multi-walled carbon nanotube/polydimethylsiloxane-based (MWCNT/PDMS) resistive strain sensors and pressure sensors were developed to integrate a smart glove for human motion/perception detection. Firstly, MWCNT/PDMS conductive layers with excellent electrical and mechanical properties (resistivity of 2.897 KΩ · cm, elongation at break of 145%) were fabricated via a facile scraping-coating method. Then, a resistive strain sensor with a stable homogeneous structure was developed due to the similar physicochemical properties of the PDMS encapsulation layer and MWCNT/PDMS sensing layer. The resistance changes of the prepared strain sensor exhibited a great linear relationship with the strain. Moreover, it could output obvious repeatable dynamic response signals. It still had good cyclic stability and durability after 180° bending/restoring cycles and 40% stretching/releasing cycles. Secondly, MWCNT/PDMS layers with bioinspired spinous microstructures were formed by a simple sandpaper retransfer process and then assembled face-to-face into a resistive pressure sensor. The pressure sensor presented a linear relationship of relative resistance change and pressure in the range of 0-31.83 KPa with a sensitivity of 0.026 KPa-1, and a sensitivity of 2.769 × 10-4 KPa-1 over 32 KPa. Furthermore, it responded quickly and kept good cycle stability at 25.78 KPa dynamic loop over 2000 s. Finally, as parts of a wearable device, resistive strain sensors and a pressure sensor were then integrated into different areas of the glove. The cost-effective, multi-functional smart glove can recognize finger bending, gestures, and external mechanical stimuli, which holds great potential in the fields of medical healthcare, human-computer cooperation, and so on.
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