Please use this identifier to cite or link to this item:
Title: Electromechanical properties of a yarn strain sensor with graphene-sheath/polyurethane-core
Authors: Li, XT 
Hua, T 
Xu, BG 
Keywords: Electromechanical
Strain sensor
Polyurethane yarn
Issue Date: 2017
Publisher: Pergamon Press
Source: Carbon, 2017, v. 118, p. 686-698 How to cite?
Journal: Carbon 
Abstract: This paper reports on the fabrication of a new yarn strain sensor based on commonly used polyurethane yarn which is easily incorporated into textile structures by using textile technologies for wearable applications. By integrating graphene/poly(vinyl alcohol) composites as the conductive sheath around yarn, and polyurethane yarn as the elastic core by using a layer-by-layer assembly method that is simple, scalable and low in cost, the merits of both types of materials are incorporated to fabricate sensors with enhanced performance. The combined effects of graphene concentration and number of coatings on sensor properties are elucidated, and on that basis, the electromechanical properties can be modified by adjusting the parameters. The sensors are characterized in terms of sensitivity, resistivity, linearity, repeatability, hysteresis and thermal stability. There are two sensors (graphene concentration of 0.8 wt% and 1.0 wt%, and 12 and 9 cycles of coating respectively) with high sensitivity (gauge factor of 28.48 and 86.86, respectively), good linearity between the change in relative resistance and applied strain (correlation coefficient of 0.95 and 0.97, respectively), good repeatability (repeatability error of 2.03% and 1.81%, respectively), low hysteresis (hysteresis error of 7.03% and 9.08%, respectively) and excellent thermal stability (within the range of 25 degrees C-310 degrees C).
ISSN: 0008-6223
EISSN: 1873-3891
DOI: 10.1016/j.carbon.2017.04.002
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Citations as of May 12, 2018


Last Week
Last month
Citations as of May 20, 2018

Page view(s)

Citations as of May 21, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.