Skin-attachable and flexible MWCNT grid/Ecoflex strain sensors with fast equilibrium of response for detection of sound vibrations and human motions

Skin-attachable and flexible strain sensors have attracted extensive interests because they enable to monitor individual physical actions, health status, and vibrations of sound. In this paper, multi-walled carbon nanotubes (MWCNTs) are transfer-printed into Ecoflex substrate to fabricate the MWCNT...

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Bibliographic Details
Published in:Journal of materials science. Materials in electronics 2021-11, Vol.32 (22), p.26439-26448
Main Authors: Yan, Bin, Ding, Huizhen, Zhang, Yawen, Lin, Pei, Wu, Di, Shi, Zhifeng, Chen, Xu, Tian, Yongtao, Li, Xinjian
Format: Article
Language:English
Subjects:
Bionics
Characterization and Evaluation of Materials
Chemistry and Materials Science
Equilibrium
Human motion
Materials Science
Motion perception
Multi wall carbon nanotubes
Optical and Electronic Materials
Response time
Robot dynamics
Screens
Sensors
Sound
Strain analysis
Substrates
Vibration monitoring
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Summary:Skin-attachable and flexible strain sensors have attracted extensive interests because they enable to monitor individual physical actions, health status, and vibrations of sound. In this paper, multi-walled carbon nanotubes (MWCNTs) are transfer-printed into Ecoflex substrate to fabricate the MWCNT grid/Ecoflex strain sensors. We investigated the effects of the distribution and amount of MWCNTs on the sensor properties by tuning mesh sizes of nylon screens and repeated times of spray-coating and found that the distribution and amount of MWCNTs could influence on the response equilibrium process of sensors, besides the response value. Among the as-prepared samples, the sensors based on 75-mesh screens with 20-time coating exhibit the fastest equilibrium of response with a relatively high response, which the response time is about 274 ms. Meanwhile, the sensors have a good stability and durability. Furthermore, the as-prepared attachable and flexible strain sensors are capable of monitoring different finger gestures, diverse subtle motions of human body, and vibrations of sound, which demonstrate an application prospects in the fields of human motion detection, electronic skins of bionic robots, and human–machine interfaces.
ISSN:0957-4522
1573-482X
DOI:10.1007/s10854-021-07022-x