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A rapid method for residual cure stress analysis for optimization of cure induced distortion effects
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, SICOMP.
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, SICOMP.
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, SICOMP.
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, SICOMP.ORCID iD: 0000-0001-9507-3023
2018 (English)In: ECCM 2018 - 18th European Conference on Composite Materials, Applied Mechanics Laboratory , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Within this paper, the authors present a rapid method for residual cure stress analysis. The method uses a high-fidelity path-dependent cure kinetics analysis subroutine implemented in Abaqus to calibrate values for a linear elastic analysis. The path dependent model accounts for the tool-part interaction, forming pressure, and the changing composite modulus during the rubbery region of matrix curing during an arbitrary cure cycle. 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 with a single linear temperature load as rapidly and accurately as possible for use in an optimization framework. A carbon-epoxy system is studied. Simple parts are manufactured using unbalanced layups and out-of-autoclave methods. The resulting distortions are scanned with a 3D scanner and compared with simulation results for the same geometries. Further, a more complicated part is studied to compare the two methods using complex geometry. 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.

Place, publisher, year, edition, pages
Applied Mechanics Laboratory , 2018.
Keywords [en]
Aerospace structures, Cure induced distortion, FEA, Optimization, Residual stress
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-43426Scopus ID: 2-s2.0-85077539447ISBN: 9781510896932 (print)OAI: oai:DiVA.org:ri-43426DiVA, id: diva2:1390145
Conference
18th European Conference on Composite Materials, ECCM 2018, 24 June 2018 through 28 June 2018
Note

Funding details: Horizon 2020, 716864; Funding text 1: 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 only the authors’ views only, and the JU is not responsible for any use that may be made of this information.

Available from: 2020-01-31 Created: 2020-01-31 Last updated: 2020-01-31Bibliographically approved

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Rouhi, Mohammad

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