Skip to main content

Research Repository

Advanced Search

Multiscale modeling of combined deterministic and stochastic fabric non-uniformity for realistic resin injection simulation

Endruweit, A.; Zeng, X.; Long, A. C.

Multiscale modeling of combined deterministic and stochastic fabric non-uniformity for realistic resin injection simulation Thumbnail


Authors

X. Zeng

A. C. Long



Abstract

The local fiber arrangement in a bi-directional fabric formed to a complex shape was modeled considering the stochastic arrangement of filaments within yarns, which determines axial and transverse yarn permeabilities, and the stochastic arrangement of yarns in a fabric, which determines the dimensions of interyarn gap spaces locally. To mimic the uncertainty in fabric forming, drape simulation was randomized in terms of start point and yarn start orientations. From yarn permeabilities and simulated local yarn spacing distributions, local fiber volume fractions and fabric permeabilities were approximated. This allowed resin injection into a deformed fabric to be simulated for different drape scenarios with different probabilities and different degrees of fabric randomness. The results indicate that variability in fabric properties and the forming process affects flow front shapes and times for complete impregnation of the reinforcement.

Citation

Endruweit, A., Zeng, X., & Long, A. C. (2015). Multiscale modeling of combined deterministic and stochastic fabric non-uniformity for realistic resin injection simulation. Advanced Manufacturing: Polymer & Composites Science, 1(1), 3-15. https://doi.org/10.1179/2055035914y.0000000002

Journal Article Type Article
Acceptance Date Oct 27, 2014
Online Publication Date Nov 14, 2014
Publication Date 2015-02
Deposit Date Jan 29, 2020
Publicly Available Date Jan 29, 2020
Journal Advanced Manufacturing: Polymer & Composites Science
Electronic ISSN 2055-0359
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 1
Issue 1
Pages 3-15
DOI https://doi.org/10.1179/2055035914y.0000000002
Public URL https://nottingham-repository.worktribe.com/output/3828425
Publisher URL https://www.tandfonline.com/doi/full/10.1179/2055035914Y.0000000002
Additional Information Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=yadm20

Files




You might also like



Downloadable Citations