Skip to main content

Research Repository

Advanced Search

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

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

Authors

Xuesen Zeng

Andrew C. Long



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
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 77
Pages 266-274
DOI https://doi.org/10.1016/j.compositesa.2015.03.027
Public URL http://www.scopus.com/inward/record.url?eid=2-s2.0-84939265547&partnerID=40&md5=d1628912e81f56961bd2c2f2bcd22625
Publisher URL https://www.sciencedirect.com/science/article/pii/S1359835X15001232?via%3Dihub

Files




You might also like



Downloadable Citations