A methodology for microstructure-based structural optimization of cast and injection moulded parts using knowledge-based design automation. (July 2017)
- Record Type:
- Journal Article
- Title:
- A methodology for microstructure-based structural optimization of cast and injection moulded parts using knowledge-based design automation. (July 2017)
- Main Title:
- A methodology for microstructure-based structural optimization of cast and injection moulded parts using knowledge-based design automation
- Authors:
- Olofsson, Jakob
Salomonsson, Kent
Johansson, Joel
Amouzgar, Kaveh - Abstract:
- Highlights: A new methodology for geometry optimization with consideration of heterogeneous material behaviour is presented. Mechanical behaviour is based on local microstructure formation predicted by simulations and microstructure models. Design automation and a multi-objective optimization algorithm is used for controlling the knowledge-based implementation. The approach is implemented for cast materials and injection moulded glass-fibre reinforced polymeric materials. Abstract: 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 castHighlights: A new methodology for geometry optimization with consideration of heterogeneous material behaviour is presented. Mechanical behaviour is based on local microstructure formation predicted by simulations and microstructure models. Design automation and a multi-objective optimization algorithm is used for controlling the knowledge-based implementation. The approach is implemented for cast materials and injection moulded glass-fibre reinforced polymeric materials. Abstract: 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. … (more)
- Is Part Of:
- Advances in engineering software. Volume 109(2017)
- Journal:
- Advances in engineering software
- Issue:
- Volume 109(2017)
- Issue Display:
- Volume 109, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 109
- Issue:
- 2017
- Issue Sort Value:
- 2017-0109-2017-0000
- Page Start:
- 44
- Page End:
- 52
- Publication Date:
- 2017-07
- Subjects:
- Component casting -- Injection moulding -- Design automation -- Knowledge based engineering -- Finite element analysis -- Multi-objective optimization
Computer-aided engineering -- Periodicals
Engineering -- Computer programs -- Periodicals
Engineering -- Software -- Periodicals
Periodicals
620.0028553 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09659978 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advengsoft.2017.03.003 ↗
- Languages:
- English
- ISSNs:
- 0965-9978
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0705.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 375.xml