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Understanding and predicting defect formation in automated fibre placement pre-preg laminates

Authors :
James Kratz
Jonathan P Belnoue
Ivana K. Partridge
Tassos Mesogitis
Stephen R. Hallett
Kevin D Potter
Oliver J. Nixon-Pearson
Dmitry Ivanov
Source :
Belnoue, J, Mesogitis, T, Nixon-Pearson, O, Kratz, J, Ivanov, D, Partridge, I, Potter, K & Hallett, S 2017, ' Understanding and predicting defect formation in automated fibre placement pre-preg laminates ', Composites Part A: Applied Science and Manufacturing, vol. 102, pp. 196-206 . https://doi.org/10.1016/j.compositesa.2017.08.008
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Fibre path defects are detrimental to the structural integrity of composite components and need to be minimised through process optimization. This requires understanding of the uncured pre-preg material, which is influenced by multiple process parameters, and sophisticated multi-scale modelling tools. Even though the capabilities of process modelling techniques have been improved over the past decades, the occurrence of localised wrinkles remains challenging to predict. One of the processes known to influence the formation of fibre path defects is the consolidation of laminates manufactured by automated fibre placement. The particular focus of this paper is to understand how out-of-plane wrinkles form during debulking and autoclave curing of laminates with embedded gaps and overlaps between the deposited tapes. Predictions are made using a novel modelling framework and validated against micro-scale geometry characterisation of artificially manufactured samples. The paper demonstrates the model’s ability to predict consolidation defects for the latest generation of toughened pre-pregs.

Details

ISSN :
1359835X
Volume :
102
Database :
OpenAIRE
Journal :
Composites Part A: Applied Science and Manufacturing
Accession number :
edsair.doi.dedup.....b5d38736835ef1c3e78811c63374be56
Full Text :
https://doi.org/10.1016/j.compositesa.2017.08.008