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Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviour
Jönköping University, School of Engineering, JTH, Materials and Manufacturing. Jönköping University, School of Engineering, JTH. Research area Materials and manufacturing – Casting.ORCID iD: 0000-0003-2671-9825
Imola, Italy.
Imola, Italy.
Imola, Italy.
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2018 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 57, no 5, p. 1889-1903Article in journal (Refereed) Published
Abstract [en]

During the casting process and solidification of ductile iron castings, a heterogeneous microstructure is formed throughout the casting. This distribution is strongly influenced by the item geometry and the process related factors, as chemical composition and local solidification conditions. Geometrical changes to the geometry of the casting thus alters the local mechanical behavior and properties, as well as the distribution of stresses and strains when the casting is subjected to load. In order to find an optimal geometry, e.g. with reduced weight and increased load-bearing capacity, this interdependency between geometry and local material behavior needs to be considered and integrated into the optimization method. In this contribution, recent developments in the multidisciplinary integration of casting process simulation, solidification and microstructure modelling, microstructure-based material characterization, finite element structural analyses with local material behavior and structural optimization techniques are presented and discussed. The effect and relevance of considering the local material behavior in shape optimization of ductile iron castings is discussed and evidenced by an industrial application. It is shown that by adopting a multidisciplinary optimization approach by integration of casting simulation and local material behavior into shape optimization, the potential of the casting process to obtain components with high performance and reliability can be enabled and utilized. 

Place, publisher, year, edition, pages
Springer, 2018. Vol. 57, no 5, p. 1889-1903
Keywords [en]
Casting simulation, Component casting, Local material properties, Shape optimization, Cast iron, Characterization, Codes (symbols), Ductility, Elasticity, Finite element method, Geometry, Iron, Microstructure, Solidification, Structural design, Structural optimization, Casting process simulation, Casting simulations, Finite element structural analysis, Heterogeneous microstructure, Material characterizations, Multi-disciplinary optimizations, Performance and reliabilities
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:hj:diva-39002DOI: 10.1007/s00158-018-1929-zISI: 000431264000006Scopus ID: 2-s2.0-85042078871Local ID: JTHMaterialIS, JTHProduktutvecklingISOAI: oai:DiVA.org:hj-39002DiVA, id: diva2:1191128
Available from: 2018-03-16 Created: 2018-03-16 Last updated: 2018-08-17Bibliographically approved

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Olofsson, JakobSalomonsson, KentJohansson, Joel

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JTH, Materials and ManufacturingJTH. Research area Materials and manufacturing – CastingJTH, Product DevelopmentJTH. Research area Product Development - Simulation and OptimizationJTH. Research area Product Development - Computer supported engineering design
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Structural and multidisciplinary optimization (Print)
Metallurgy and Metallic Materials

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