Stochastic modelling of out-of-autoclave epoxy composite cure cycles under uncertainty
Article
Hall, Molly, Zeng, Xuesen, Shelley, Tristan and Schubel, Peter. 2024. "Stochastic modelling of out-of-autoclave epoxy composite cure cycles under uncertainty." Composites Part A: Applied Science and Manufacturing. 180. https://doi.org/10.1016/j.compositesa.2024.108110
| Article Title | Stochastic modelling of out-of-autoclave epoxy composite cure cycles under uncertainty |
|---|---|
| ERA Journal ID | 4882 |
| Article Category | Article |
| Authors | Hall, Molly, Zeng, Xuesen, Shelley, Tristan and Schubel, Peter |
| Journal Title | Composites Part A: Applied Science and Manufacturing |
| Journal Citation | 180 |
| Article Number | 108110 |
| Number of Pages | 11 |
| Year | 2024 |
| Publisher | Elsevier |
| Place of Publication | United Kingdom |
| ISSN | 1359-835X |
| 1878-5840 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compositesa.2024.108110 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1359835X24001076 |
| Abstract | Thermoset polymers and composites are subject to several sources of uncertainty which can produce a range of cure outcomes. Recent research into stochastically modelled thermoset cure has indicated that accounting for raw material and process uncertainty can model this range of expected output parameters. However, the uncertainty quantification methods are highly test-intensive, and the results of the simulations have been validated with limited experimental data. This study proposes a simple approach to cure kinetics uncertainty quantification that can be applied to any cure kinetics model without the need for additional testing. Stochastic cure kinetics and temperature conditions for a popular out-of-autoclave carbon fibre/epoxy prepreg were used to produce output distribution functions for key cure events, and the results were validated using data from ten cure replicates. The quantified variation expected from the cure of this prepreg resulted in processing recommendations to ensure quality metrics are met during processing. |
| Keywords | Thermosetting resin ; Cure behaviour ; Process simulation ; Stochastic cure simulation |
| Related Output | |
| Is part of | Through-thickness dielectric sensing for thermoset composite cure analysis and process validation |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 401602. Composite and hybrid materials |
| Public Notes | This article is part of a UniSQ Thesis by publication. See Related Output. |
| Byline Affiliations | Centre for Future Materials |
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