Dr LOUISE BROWN LOUISE.BROWN@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR
Predicting the coefficient of thermal expansion for textile composites based on a unit cell approach
Brown, Louise P.; Zeng, Xuesen; Long, Andrew C.; Brooks, Richard; Jones, I. Arthur
Authors
Xuesen Zeng
Andrew C. Long
Richard Brooks
I. Arthur Jones
Abstract
The study focuses on unit cell FE modelling to predict coefficients of thermal expansion (CTEs) for sheared fabric laminates. Shear, as a dominant deformation mode in textile composites forming, introduces high degrees of anisotropy in both elasticity and thermal expansion. The unit cell predictions are based on realistic fibre architecture and measured material properties of constituent fibre and resin. Under the multi-scale framework, the unit cell predictions are part of the essential input data for locally varied material definitions. These definitions are used to model structural components to predict shape distortion. The FE model gives predictions close to the experimental data, when the boundary conditions are correlated to the coupon size. Nesting is an influential factor for CTEs. For true material representation, in-plane periodicity and nesting have been considered.
Citation
Brown, L. P., Zeng, X., Long, A. C., Brooks, R., & Jones, I. A. Predicting the coefficient of thermal expansion for textile composites based on a unit cell approach. Presented at Texcomp-11 Conference
Conference Name | Texcomp-11 Conference |
---|---|
End Date | Sep 20, 2013 |
Publication Date | Sep 16, 2013 |
Deposit Date | Jul 24, 2014 |
Publicly Available Date | Jul 24, 2014 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/717837 |
Files
Predicting_the_CTE_for_textile_composites_based_on_a_unit_cell_approach.pdf
(644 Kb)
PDF
You might also like
TexGen
(2022)
Book Chapter
Weft Yarn Interlacement Modelling for 3D Profiled Structures
(2021)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search