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Uncertainty in geometry of fibre preforms manufactured with Automated Dry Fibre Placement and its effects on permeability

Matveev, M. Y.; Ball, Frank G.; Jones, I. Arthur; Long, Andrew C.; Schubel, Peter J.; Tretyakov, M. V.

Authors

MIKHAIL MATVEEV MIKHAIL.MATVEEV@NOTTINGHAM.AC.UK
Assistant Professor in Engineering Mechanics - Statics & Dynamics

FRANK BALL frank.ball@nottingham.ac.uk
Professor of Applied Probability

I. Arthur Jones

ANDREW LONG ANDREW.LONG@NOTTINGHAM.AC.UK
Provost and Deputy Vice-Chancellor

Peter J. Schubel



Abstract

© 2017, The Author(s) 2017. Resin transfer moulding is one of several processes available for manufacturing fibre-reinforced composites from dry fibre reinforcement. Recently, dry reinforcements made with Automated Dry Fibre Placement have been introduced into the aerospace industry. Typically, the permeability of the reinforcement is assumed to be constant throughout the dry preform geometry, whereas in reality, it possesses inevitable uncertainty due to variability in geometry. This uncertainty propagates to the uncertainty of the mould filling and the fill time, one of the important variables in resin injection. It makes characterisation of the permeability and its variability an important task for design of the resin transfer moulding process. In this study, variability of the geometry of a reinforcement manufactured using Automated Dry Fibre Placement is studied. Permeability of the manufactured preforms is measured experimentally and compared to stochastic simulations based on an analytical model and a stochastic geometry model. The simulations showed that difference between the actual geometry and the designed geometry can result in 50% reduction of the permeability. The stochastic geometry model predicts results within 20% of the experimental values.

Citation

Matveev, M. Y., Ball, F. G., Jones, I. A., Long, A. C., Schubel, P. J., & Tretyakov, M. V. (2018). Uncertainty in geometry of fibre preforms manufactured with Automated Dry Fibre Placement and its effects on permeability. Journal of Composite Materials, 52(16), 2255-2269. https://doi.org/10.1177/0021998317741951

Journal Article Type Article
Acceptance Date Oct 22, 2017
Online Publication Date Nov 23, 2017
Publication Date Jul 1, 2018
Deposit Date Nov 6, 2017
Publicly Available Date Mar 29, 2024
Journal Journal of Composite Materials
Print ISSN 0021-9983
Electronic ISSN 1530-793X
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 52
Issue 16
Pages 2255-2269
DOI https://doi.org/10.1177/0021998317741951
Keywords Polymer matrix composites (PMCs); Permeability; Uncertainty quantification; Statistical properties/methods; Monte Carlo simulations
Public URL https://nottingham-repository.worktribe.com/output/896717
Publisher URL http://journals.sagepub.com/doi/full/10.1177/0021998317741951

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