Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143536
Title: Controllably enhancing stretchability of highly sensitive fiber-based strain sensors for intelligent monitoring
Authors: Liao, Xinqin
Wang, Wensong
Wang, Liang
Tang, Kai
Zheng, Yuanjin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Liao, X., Wang, W., Wang, L., Tang, K., & Zheng, Y. (2019). Controllably enhancing stretchability of highly sensitive fiber-based strain sensors for intelligent monitoring. ACS Applied Materials & Interfaces, 11(2), 2431-2440. doi:10.1021/acsami.8b20245
Journal: ACS Applied Materials & Interfaces
Abstract: Functional strain sensing is essential to develop health monitoring and Internet of Things. The performance of either narrow sensing range or low sensitivity restricts strain sensors in a wider range of future applications. Attaining both high sensitivity and wide sensing range of a strain sensor remains challenging. Herein, a cluster-type microstructures strategy is proposed for engineering high stretchability of highly sensitive strain sensor. The resistance change of the strain sensor is determined by the deformation of the cluster-type microstructures from close arrangement to orderly interval state during being stretched. Because of the unique geometric structure and conductive connection type of the sensing material, the strain sensor achieves a considerable performance that features both high sensitivity (gauge factor up to 2700) and high stretchability (sensing range of 160% strain). Fast response time and long-term stability are other characteristics of the strain sensor. Monitoring of multiple limb joints and controlling of audible and visual devices are demonstrated as the proof-of-concept abilities of the strain sensor. This study not only puts forward a novel design thought of strain sensor but also offers considerable insights into its potential value toward burgeoning fields including but not limited to real-time health monitoring and intelligent controls.
URI: https://hdl.handle.net/10356/143536
ISSN: 1944-8244
DOI: 10.1021/acsami.8b20245
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Applied Materials & Interfaces, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acsami.8b20245
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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