Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24560
Title: Conductive knitted fabric as large-strain gauge under high temperature
Authors: Zhang, H
Tao, X 
Yu, T
Wang, S
Keywords: Fabric sensor
High temperature
Large strain
Modelling
Sensitivity
Issue Date: 2006
Publisher: Elsevier
Source: Sensors and actuators. A, Physical, 2006, v. 126, no. 1, p. 129-140 How to cite?
Journal: Sensors and actuators. A, Physical 
Abstract: An intrinsically conductive knitted fabric-based electrical resistive strain gauge is developed to measure in-plane or out-of-planar large strain under high temperature. Electro-mechanical properties, which governor the sensitivity of the gauge, are analyzed theoretically by a model of weft plain fabric. The contacting electrical resistance (Rc), resulted from two overlapped yarns, is attributed to be the key factor contributing to the resistance-strain response while the fabric structure determines the sensitivity of the gauge. Two structures are fabricated making use of the properties of contacting resistance to find the key factors governing the sensitivity, repeatability and accuracy of the sensors. The effects of strain-rate and temperature on the sensitivity of the gauge are analyzed experimentally. From the experimental results, fabric gauges made from carbon fibers display a higher sensitivity, repeatability and accuracy than those made by stainless steel due to its small internal friction and intrinsic physics properties. Meanwhile, tubular structure has high maximum strain level than single warp structure but exhibits lower sensitivity than the latter. Temperature exhibits greater effect on the sensitivity than the strain-rate.
URI: http://hdl.handle.net/10397/24560
ISSN: 0924-4247
EISSN: 1873-3069
DOI: 10.1016/j.sna.2005.10.026
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

68
Last Week
2
Last month
1
Citations as of Jun 11, 2018

WEB OF SCIENCETM
Citations

55
Last Week
0
Last month
1
Citations as of Jun 19, 2018

Page view(s)

77
Last Week
0
Last month
Citations as of Jun 17, 2018

Google ScholarTM

Check

Altmetric


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