Issue 19, 2018

Network cracks-based wearable strain sensors for subtle and large strain detection of human motions

Abstract

As an imitation of human skin's tactile sensing ability, flexible and stretchable strain sensors are highly desirable because of their various applications in health monitoring, robotics, and human–machine interfaces. However, it is still a big challenge to fabricate strain sensors with both high sensitivity and broad sensing range. Herein, we report a simple, low cost and scalable fabrication strategy to construct high performance strain sensors based on network cracks formed in multilayer carbon nanotubes (CNTs) films/polydimethylsiloxane (PDMS) composites. The microscopic thickness of multilayer CNTs can be precisely controlled to tune the formation of network cracks in CNTs films/PDMS composite, which is critical for simultaneously amplifying the sensitivity signal and sensing range of strain sensors. The optimized CNTs films/PDMS composite under appropriate stretching would fracture into gaps, islands, and bridges connecting separated islands. The formed network cracks easily, resulting in both high gauge factor (maximum value of 87) and a wide sensing range (up to 100%) of the strain sensor, which allows the detection of strain as low as 0.007% with excellent stability (1500 cycles), making it suitable for both subtle and large strain detection, including subtle signals of artery pulses, music vibration and large scale motions of joint bending.

Graphical abstract: Network cracks-based wearable strain sensors for subtle and large strain detection of human motions

Supplementary files

Article information

Article type
Paper
Submitted
26 Jan 2018
Accepted
03 Apr 2018
First published
03 Apr 2018
This article is Open Access
Creative Commons BY license

J. Mater. Chem. C, 2018,6, 5140-5147

Network cracks-based wearable strain sensors for subtle and large strain detection of human motions

S. Wang, P. Xiao, Y. Liang, J. Zhang, Y. Huang, S. Wu, S. Kuo and T. Chen, J. Mater. Chem. C, 2018, 6, 5140 DOI: 10.1039/C8TC00433A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements