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

Jiang, Minqiang, Cong, Xiaoye, Yi, Xiaosu, Liu, Xiaoling, and Rudd, Chris (2022) A stochastic overlap network model of electrical properties for conductive weft yarn composites and their experimental study. Composites Science and Technology, 217. 109075.

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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.

Item ID: 72313
Item Type: Article (Research - C1)
ISSN: 1879-1050
Keywords: Stochastic numerical analysis, Monte Carlo simulation, Conductive weft yarn Composites, Inter-woven wire fabric, Electrical properties
Copyright Information: © 2021 Elsevier Ltd. All rights reserved.
Date Deposited: 09 Feb 2022 13:28
FoR Codes: 40 ENGINEERING > 4016 Materials engineering > 401602 Composite and hybrid materials @ 100%
SEO Codes: 24 MANUFACTURING > 2403 Ceramics, glass and industrial mineral products > 240304 Composite materials @ 100%
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