TY - JOUR
T1 - Sensing mechanism of a carbon nanocomposite-printed fabric as a strain sensor
AU - Wang, Xi
AU - Li, Qiao
AU - Tao, Xiaoming
N1 - Funding Information:
This research was funded by the National Natural Science Foundation of China (Grant No. 12002085 , 51603039 ), sponsored by Shanghai Pujiang Program, and supported by the Fundamental Research Funds for the Central Universities , the Key Laboratory of Textile Science and Technology (Donghua University), Ministry of Education, as well as the Initial Research Funds for Young Teachers of Donghua University .
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/5
Y1 - 2021/5
N2 - Conductive fabrics have gained widespread attention all around the electro-textile areas, owing to ease of fabrication and large freedom of design. In this paper, printed conductive knitted fabric was fabricated, which revealed favorable merits as a strain sensor such as large strain measurement range, good repeatability, good sensitivity to strain, high resistance to fatigue and low Young's modulus. The electro-mechanical behavior as well as sensing mechanism of the conductive fabric was further elaborated, based on tunneling conductive mechanism of conductive composites and gradient strain distribution of the sensing area. An electromechanical model of the conductive fabric was established and verified as effective, with maximum averaged error observed only 5.51%. The printed fabric and its model of sensing mechanism not only lay the foundation for further design, analysis and optimizations of textile-based conductive fabrics, but also reveal interesting material phenomena with a rather broad scope in the area of electronic textiles.
AB - Conductive fabrics have gained widespread attention all around the electro-textile areas, owing to ease of fabrication and large freedom of design. In this paper, printed conductive knitted fabric was fabricated, which revealed favorable merits as a strain sensor such as large strain measurement range, good repeatability, good sensitivity to strain, high resistance to fatigue and low Young's modulus. The electro-mechanical behavior as well as sensing mechanism of the conductive fabric was further elaborated, based on tunneling conductive mechanism of conductive composites and gradient strain distribution of the sensing area. An electromechanical model of the conductive fabric was established and verified as effective, with maximum averaged error observed only 5.51%. The printed fabric and its model of sensing mechanism not only lay the foundation for further design, analysis and optimizations of textile-based conductive fabrics, but also reveal interesting material phenomena with a rather broad scope in the area of electronic textiles.
KW - A: Fabrics/textiles
KW - A: Polymer-matrix composites (PMCs)
KW - C: Analytical modeling
KW - D: Surface analysis
UR - http://www.scopus.com/inward/record.url?scp=85101634412&partnerID=8YFLogxK
U2 - 10.1016/j.compositesa.2021.106350
DO - 10.1016/j.compositesa.2021.106350
M3 - Journal article
AN - SCOPUS:85101634412
SN - 1359-835X
VL - 144
JO - Composites Part A: Applied Science and Manufacturing
JF - Composites Part A: Applied Science and Manufacturing
M1 - 106350
ER -