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A knowledge-based master modeling approach to system analysis and design
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.ORCID iD: 0000-0002-2699-2533
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.ORCID iD: 0000-0003-0373-3720
2011 (English)In: Impacting society through engineering design: ICED 11 København, the 18th International Conference on Engineering Design ; 15th - 18th August 2011, Technical University of Denmark (DTU), Copenhagen, Denmark ; proceedings volumes / [ed] Steve Culley; Ben Hicks; Tim McAloone; T.J. Howard, Design Research Society, 2011, Vol. 4 : Product and systems design, p. 347-356Conference paper, Published paper (Refereed)
Abstract [en]

The jet engine industry relies on product models for early design predictions of attributes such as structural behavior, mass and cost. When the required analysis models are not linked to the governing product model, effective coordination of design changes is a challenge, making design space exploration time-consuming. Master modeling (MM) approaches can help alleviate such analysis overhead; the MM concept has its origins in the computer-aided design (CAD) community, and mandates that manual changes in one model automatically propagate to assembly, computer-aided manufacturing (CAM) and computer-aided engineering (CAE) models within the CAD platform. Knowledge-based master models can also be used to communicate changes in the product definition to models that are external to the CAD platform. This paper presents details of the knowledge-based master modeling approach as applied to mechanical jet engine analysis and design, where different fidelity models and analysis tools are supported in the early design stages.

Place, publisher, year, edition, pages
Design Research Society, 2011. Vol. 4 : Product and systems design, p. 347-356
Series
DS / Design Society ; 68
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Product Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-38436Local ID: cd69f5a8-be94-44e0-a4b9-cd446848a3aaISBN: 978-1-904670-24-7 (print)OAI: oai:DiVA.org:ltu-38436DiVA, id: diva2:1011937
Conference
International Conference on Engineering Design : 15/08/2011 - 19/08/2011
Note
Validerad; 2012; 20120411 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-05-29Bibliographically approved

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Sandberg, MarcusTyapin, IlyaKokkolaras, MichaelIsaksson, Ola

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