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A method for optimization against cure-induced distortion in composite parts
RISE Research Institutes of Sweden, Material och produktion, Polymera material och kompositer.ORCID-id: 0000-0001-6559-7694
RISE Research Institutes of Sweden, Material och produktion, Polymera material och kompositer.
RISE Research Institutes of Sweden, Material och produktion, Polymera material och kompositer.ORCID-id: 0000-0002-3833-831x
Airbus Operations SAS, France.
2023 (engelsk)Inngår i: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 66, nr 3, artikkel-id 51Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper describes a novel method developed for the optimization of composite components against distortion caused by cure-induced residual stresses. A novel ply stack alteration algorithm is described, which is coupled to a parametrized CAD/FE model used for optimization. Elastic strain energy in 1D spring elements, used to constrain the structure during analysis, serves as an objective function incorporating aspects of global/local part stiffness in predicted distortion. Design variables such as the number and stacking sequence of plies, and geometric parameters of the part are used. The optimization problem is solved using commercial software combined with Python scripts. The method is exemplified with a case study of a stiffened panel subjected to buckling loads. Results are presented, and the effectiveness of the method to reduce the effects of cure-induced distortion is discussed. © 2023, The Author(s).

sted, utgiver, år, opplag, sider
Springer Science and Business Media Deutschland GmbH , 2023. Vol. 66, nr 3, artikkel-id 51
Emneord [en]
Computer aided design, Computer software, Curing, Strain energy, Composite components, Composite parts, Cure behavior, FE model, Finite element analyse, Novel methods, Optimisations, Process-models, Residual internal stress, Finite element method, Cure behaviour, Finite element analysis (FEA), Process modelling, Residual/internal stress
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Identifikatorer
URN: urn:nbn:se:ri:diva-64238DOI: 10.1007/s00158-023-03504-0Scopus ID: 2-s2.0-85148694883OAI: oai:DiVA.org:ri-64238DiVA, id: diva2:1744468
Merknad

Correspondence Address: C. Cameron, RISE Research Institutes of Sweden, Sweden; 

 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.

Tilgjengelig fra: 2023-03-20 Laget: 2023-03-20 Sist oppdatert: 2023-05-16bibliografisk kontrollert

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Cameron, ChristopherStig, Fredrik

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