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Prediction of Microstructure and Microporosity Development in Aluminium Gravity Casting Processes
Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Component Technology. (Komponentteknologi)
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2005 (English)In: Proc. SFB Kolloquium, RWTH, Aachen, 2005., 2005Conference paper, Published paper (Refereed)
Abstract [en]

Initially, when implementing a design automation system the focus is on successfully developing a system that generates design variants based on different customer specifications, i.e. the execution of system embedded knowledge and system output. However, in the long run two important aspects are the modelling and management of the knowledge that govern the designs. The increasing emphasis to deploy a holistic view on the products properties and functions implies an increasing number of life-cycle requirements. These requirements should all be used to enhance the knowledge-base allowing for correct decisions to be made. In a system for automated variant design these life-cycle requirements have to be expressed as algorithms and/or computational statements to be intertwined with the design calculations. The number of requirements can be significantly large and they are scattered over different systems. The aim of the presented work is to provide an approach for modelling of manufacturing requirements, supporting both knowledge execution and information management, in systems for automated variant design.

Place, publisher, year, edition, pages
2005.
Keywords [en]
Design automation, requirement management, requirement modelling, manufacturing requirements, producibility.
Identifiers
URN: urn:nbn:se:hj:diva-4799OAI: oai:DiVA.org:hj-4799DiVA, id: diva2:35619
Available from: 2008-05-20 Created: 2008-05-20 Last updated: 2017-08-14Bibliographically approved

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Wessén, MagnusSvensson, Ingvar L.Seifeddine, Salem

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