Numerical prediction of in-plane permeability for multilayer woven fabrics with manufacture-induced deformation

Zeng, Xuesen; Endruweit, Andreas; Brown, Louise P.; Long, Andrew C.

Abstract

A unit cell based Computational Fluid Dynamics model is presented for predicting permeability of multilayer fabric structures. In Liquid Composites Moulding processes, fabric lay-ups undergo significant manufacture-induced deformation, combining compression, shear, and inter-layer nesting. Starting from the configuration of un-deformed fabric, the deformation is simulated geometrically by accounting for self-imposed kinematic constraints of interweaving yarns. The geometrical modelling approach is implemented in the open-source software TexGen. The permeability tensor is retrieved from flow analysis in ANSYS/CFX, based on TexGen voxel models. Using only measured geometrical data for un-deformed fabrics, deformed plain weave fabric and twill weave fabric lay-ups were modelled and their permeability tensors predicted. Comparison with experimental data demonstrates the generally good accuracy of predictions derived from the proposed numerical method.

Citation

Zeng, X., Endruweit, A., Brown, L. P., & Long, A. C. (2015). Numerical prediction of in-plane permeability for multilayer woven fabrics with manufacture-induced deformation. Composites Part A: Applied Science and Manufacturing, 77, 266-274. https://doi.org/10.1016/j.compositesa.2015.03.027

• Journal Article Type: Article
• Acceptance Date: Mar 30, 2015
• Online Publication Date: Apr 4, 2015
• Publication Date: Oct 1, 2015
• Deposit Date: Sep 6, 2018
• Publicly Available Date: Feb 5, 2019
• Print ISSN: 1359-835X
• Electronic ISSN: 1878-5840
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 77
• Pages: 266-274
• DOI: https://doi.org/10.1016/j.compositesa.2015.03.027
• Public URL: https://nottingham-repository.worktribe.com/output/1106389
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1359835X15001232?via%3Dihub
• Related Public URLs: http://www.scopus.com/inward/record.url?eid=2-s2.0-84939265547&partnerID=40&md5=d1628912e81f56961bd2c2f2bcd22625
• Contract Date: Feb 5, 2019