Strain Sensor with High Sensitivity and Large Response Range Based on Self-Assembled Elastic-Sliding Conductive Networks

被引:23
|
作者
Wang, Haicheng [1 ]
Liu, Jinlin [1 ]
Cui, Haoao [1 ]
Liu, Yijian [1 ]
Zhu, Junze [1 ]
Wang, Hongfei [1 ]
Song, Ge [1 ]
Li, Zhongli [1 ]
Chen, Da [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect & Informat Engn, Qingdao 266590, Peoples R China
基金
中国国家自然科学基金;
关键词
flexible electronics; self-assembly; nonlinear gain; molybdenum disulfide particle; multiwall carbon nanotube network; ELECTRONIC SKIN; MOS2; TRANSISTORS; COMPOSITES;
D O I
10.1021/acsaelm.1c00044
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Flexible electronics intensely pursues the development of new-generation electronic skin and human-machine interfaces. However, monitoring human motions with both large dynamic range and high sensitivity effectively remains a challenge for the wearable strain sensors. In this study, we proposed a flexible strain sensor based on an elastic-sliding mechanism with a self-assembled PDMS/MoS2/MWCNT structure. The dense MWCNT networks could wrap and bridge the solid lubricant MoS2 particles to form elastic-sliding conductive paths. Even under a tiny stretch, the lubricant MoS2 islands could separate to enhance the sliding effect of the MWCNT conductive networks. Based on this property, the gauge factor of the sensor dramatically increases as an exponential function of stretching force. The proposed strain sensor has high sensitivity with a large response range (gauge factor of 3528 around 55% strain), a detection limit as low as 0.1%, a fast response time of 100 ms, and excellent cycling stability. Particularly, the strain sensor exhibits different sensitivities under various prestretching states. In addition, signal patterns with distinct features have been acquired in different applications. Such comprehensive performance of the strain sensor is applicable for the full range of human motion detection and integration of next-generation wearable systems.
引用
收藏
页码:1758 / 1770
页数:13
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