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A rapid method for simulating residual stress to enable optimization against cure induced distortion
RISE Research Institutes of Sweden, Materials and Production, Polymeric Materials and Composites.ORCID iD: 0000-0001-6559-7694
RISE Research Institutes of Sweden.ORCID iD: 0000-0001-5738-3207
RISE Research Institutes of Sweden, Materials and Production, Polymeric Materials and Composites.ORCID iD: 0000-0002-3833-831x
RISE Research Institutes of Sweden, Materials and Production, Polymeric Materials and Composites. National University of Singapore, Singapore.ORCID iD: 0000-0001-9507-3023
2021 (English)In: Journal of composite materials, ISSN 0021-9983, E-ISSN 1530-793X, Vol. 55, no 26, p. 3799-Article in journal (Refereed) Published
Abstract [en]

In this paper a rapid method for residual cure stress analysis from composite manufacturing is presented. The method uses a high-fidelity path-dependent cure kinetics subroutine implemented in ABAQUS to calibrate a linear elastic model. The path-dependent model accounts for the tool-part interaction, forming pressure, and the changing composite modulus during the rubbery phase of matrix curing. Results are used to calculate equivalent lamina-wise coefficients of thermal expansion (CTE) in 3 directions for a linear temperature analysis. The goal is to accurately predict distortions for large complex geometries as rapidly as possible for use in an optimization framework. A carbon-epoxy system is studied. Simple coupons and complex parts are manufactured and measured with a 3 D scanner to compare the manufactured and simulated distortion. Results are presented and the accuracy and limitations of the rapid simulation method are discussed with particular focus on implementation in a numerical optimization framework. © The Author(s) 2021.

Place, publisher, year, edition, pages
SAGE Publications Ltd , 2021. Vol. 55, no 26, p. 3799-
Keywords [en]
carbon-epoxy system, distortion prediction, Rapid method, residual cure stress analysis, thermal expansion, tool-part interaction, Curing, Optimization, Stress analysis, Coefficients of thermal expansions, Complex geometries, Composite manufacturing, Linear elastic model, Linear temperature, Numerical optimizations, Optimization framework, Numerical methods
National Category
Composite Science and Engineering
Identifiers
URN: urn:nbn:se:ri:diva-55676DOI: 10.1177/00219983211024341Scopus ID: 2-s2.0-85110988175OAI: oai:DiVA.org:ri-55676DiVA, id: diva2:1583635
Note

 Funding details: Horizon 2020 Framework Programme, H2020, 716864; Funding text 1: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 716864. The results and views expressed within this paper reflect the authors’ views only, and the JU is not responsible for any use that may be made of this information.

Available from: 2021-08-09 Created: 2021-08-09 Last updated: 2023-05-26Bibliographically approved

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Cameron, ChristopherSaseendran, SibinStig, FredrikRouhi, Mohammad

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