A stochastic overlap network model of electrical properties for conductive weft yarn composites and their experimental study

Minqiang Jiang, Xiaoye Cong, Xiaosu Yi, Xiaoling Liu, Chris Rudd

Research output: Journal PublicationArticlepeer-review

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.

Original languageEnglish
Article number109075
JournalComposites Science and Technology
Volume217
DOIs
Publication statusPublished - 5 Jan 2022

Keywords

  • Conductive weft yarn Composites
  • Electrical properties
  • Inter-woven wire fabric
  • Monte Carlo simulation
  • Stochastic numerical analysis

ASJC Scopus subject areas

  • Ceramics and Composites
  • Engineering (all)

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