A stochastic overlap network model of electrical properties for conductive weft yarn composites and their experimental study. (5th January 2022)

• Record Type: Journal Article
• Authors: Jiang, Minqiang; Cong, Xiaoye; Yi, Xiaosu; Liu, Xiaoling; Rudd, Chris
• Is Part Of: Composites science and technology. Volume 217(2021)
• Publication Date: 2022-01-05
• Subjects: Stochastic numerical analysis -- Monte Carlo simulation -- Conductive weft yarn Composites -- Inter-woven wire fabric -- Electrical properties; Composite materials -- Periodicals; Composite materials; Fibrous composites; Periodicals; 620.118
• DOI: 10.1016/j.compscitech.2021.109075
• Languages: English
• ISSNs: 0266-3538

Abstract

Abstract: Conductive weft yarn composites were developed and studied by both computational and experimental methods. A simulation based on a stochastic overlap network model (SONM) was developed in MATLAB to predict the through-thickness electrical conductivity (TTEC) for conductive weft yarn composites. Conductive weft yarn composites based on Inter-Woven Wire Fabric (IWWF) were manufactured and investigated. The results confirm that the technique can be used to increase the TTEC in a controlled manner by forming a continuous electrically conductive network with a comparatively low volume fraction of conductors. The TTEC of typical cross-ply conductive weft yarn composites reached 446 S/m, which is three orders of magnitude times higher than the control laminate. The simulated data are consistent with the experimental results, offering good scope for predictive design work. Graphical abstract: Image 1