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Predicting consolidation-induced wrinkles and their effects on composites structural performance

Research output: Contribution to journalArticle

Original languageEnglish
Number of pages15
JournalInternational Journal of Material Forming
DOIs
DateAccepted/In press - 30 Sep 2019
DatePublished (current) - 16 Nov 2019

Abstract

The majority of high-performance composite parts are nowadays designed using advanced numerical simulations that are able to accurately predict a part’s strength and deformation, providing that the internal ply architecture and exact fibre orientation are known with sufficient accuracy. However, most parts have some deviation of the fibre orientation from the ‘as-designed’ geometry, leading to the simulation overestimating the component’s strength. Up until recently, the advancement of the process simulation tools has not been sufficient to allow knowledge of this fibre deviation before any part has been manufactured, thus leading to overly conservative designs and costly experimental optimisation of the manufacturing process to reduce fibre path defects. This results in additional cost, waste of material and increased fuel consumption (due to the unnecessary weight of the components). This paper shows how state-of-the-art composite manufacturing simulations of the autoclave consolidation process can predict and help to mitigate against out-of-plane wrinkle formation in components made from toughened UD prepregs and thus raise confidence in failure analyses predictions. The industry relevant case of a stepped laminate is used as an example. Model predictions for the internal ply geometries are quantitatively compared to micrograph images of real samples. It is then shown how the input of the simulated ply architecture helps improving the accuracy of the failure simulations.

    Research areas

  • Manufacturing simulation, Toughened prepreg, Wrinkles, Failure analysis

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Springer Verlag at https://link.springer.com/article/10.1007/s12289-019-01514-2 . Please refer to any applicable terms of use of the publisher.

    Final published version, 6 MB, PDF document

    Licence: CC BY

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