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A methodology for microstructure-based structural optimization of cast and injection moulded parts using knowledge-based design automation
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
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Simulation and Optimization.ORCID iD: 0000-0003-0899-8939
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.ORCID iD: 0000-0003-1162-724X
University of Skövde, Sweden.
2017 (English)In: Advances in Engineering Software, ISSN 0965-9978, E-ISSN 1873-5339, Vol. 109, 44-52 p.Article in journal (Refereed) Published
Abstract [en]

The local material behaviour of cast metal and injection moulded parts is highly related to the geometrical design of the part as well as to a large number of process parameters. In order to use structural optimization methods to find the geometry that gives the best possible performance, both the geometry and the effect of the production process on the local material behaviour thus has to be considered.

In this work, a multidisciplinary methodology to consider local microstructure-based material behaviour in optimizations of the design of engineering structures is presented. By adopting a knowledge-based industrial product realisation perspective combined with a previously presented simulation strategy for microstructure-based material behaviour in Finite Element Analyses (FEA), the methodology integrates Computer Aided Design (CAD), casting and injection moulding simulations, FEA, design automation and a multi-objective optimization scheme into a novel structural optimization method for cast metal and injection moulded polymeric parts. The different concepts and modules in the methodology are described, their implementation into a prototype software is outlined, and the application and relevance of the methodology is discussed.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 109, 44-52 p.
Keyword [en]
Component casting, Injection moulding, Design automation, Knowledge based engineering, Finite element analysis, Multi-objective optimization
National Category
Metallurgy and Metallic Materials Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-35390DOI: 10.1016/j.advengsoft.2017.03.003ISI: 000400217700004ScopusID: 2-s2.0-85016937770OAI: oai:DiVA.org:hj-35390DiVA: diva2:1089564
Available from: 2017-04-20 Created: 2017-04-20 Last updated: 2017-05-18Bibliographically approved

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The full text will be freely available from 2019-03-25 08:00
Available from 2019-03-25 08:00

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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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Advances in Engineering Software
Metallurgy and Metallic MaterialsProduction Engineering, Human Work Science and Ergonomics

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CiteExportLink to record
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Citation style
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