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

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Understanding and predicting defect formation in automated fibre placement pre-preg laminates. / Belnoue, Jonathan; Mesogitis, Tassos; Nixon-Pearson, Ollie; Kratz, James; Ivanov, Dmitry; Partridge, Ivana; Potter, Kevin; Hallett, Stephen.

In: Composites Part A: Applied Science and Manufacturing, Vol. 102, No. C, 11.2017, p. 196-206.

Research output: Contribution to journalArticle

Harvard

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, no. C, pp. 196-206. https://doi.org/10.1016/j.compositesa.2017.08.008

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Author

Belnoue, Jonathan ; Mesogitis, Tassos ; Nixon-Pearson, Ollie ; Kratz, James ; Ivanov, Dmitry ; Partridge, Ivana ; Potter, Kevin ; Hallett, Stephen. / Understanding and predicting defect formation in automated fibre placement pre-preg laminates. In: Composites Part A: Applied Science and Manufacturing. 2017 ; Vol. 102, No. C. pp. 196-206.

Bibtex

@article{5d177c505f11441790ce044a9a834f6a,
title = "Understanding and predicting defect formation in automated fibre placement pre-preg laminates",
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.",
keywords = "Composite Manufacturing Simulation, Consolidation, Gaps and Overlaps, Wrinkles",
author = "Jonathan Belnoue and Tassos Mesogitis and Ollie Nixon-Pearson and James Kratz and Dmitry Ivanov and Ivana Partridge and Kevin Potter and Stephen Hallett",
year = "2017",
month = "11",
doi = "10.1016/j.compositesa.2017.08.008",
language = "English",
volume = "102",
pages = "196--206",
journal = "Composites Part A: Applied Science and Manufacturing",
issn = "1359-835X",
publisher = "Elsevier Science",
number = "C",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Understanding and predicting defect formation in automated fibre placement pre-preg laminates

AU - Belnoue, Jonathan

AU - Mesogitis, Tassos

AU - Nixon-Pearson, Ollie

AU - Kratz, James

AU - Ivanov, Dmitry

AU - Partridge, Ivana

AU - Potter, Kevin

AU - Hallett, Stephen

PY - 2017/11

Y1 - 2017/11

N2 - 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.

AB - 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.

KW - Composite Manufacturing Simulation

KW - Consolidation

KW - Gaps and Overlaps

KW - Wrinkles

U2 - 10.1016/j.compositesa.2017.08.008

DO - 10.1016/j.compositesa.2017.08.008

M3 - Article

VL - 102

SP - 196

EP - 206

JO - Composites Part A: Applied Science and Manufacturing

JF - Composites Part A: Applied Science and Manufacturing

SN - 1359-835X

IS - C

ER -