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A knowledge-based master-model approach with application to rotating machinery 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
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2011 (English)In: Concurrent Engineering - Research and Applications, ISSN 1063-293X, E-ISSN 1531-2003, Vol. 19, no 4, p. 295-305Article in journal (Refereed) Published
Abstract [en]

Novel rotating machinery design concepts and architectures are being explored to reduce mass, energy consumption, manufacturing costs, and environmental impact while increasing performance. As component manufacturers supply parts to original equipment manufacturers, it is desirable to design the components using a systems approach so that they are optimized for system-level performance. To accomplish that, suppliers must be able to model and predict the behavior of the whole machinery. Traditional computer-aided design/computer-aided engineering master-modeling approaches enable manual changes to be propagated to linked models. Novel knowledge-based master-modeling approaches enable automated coordination of multidisciplinary analyses. In this article, we present a specific implementation of such a knowledge-based master-modeling approach that facilitates multidisciplinary design optimization of rotating machinery. The master-model (MM) approach promotes the existence of a single governing version of the product definition as well as operating scenarios. Rules, scripts, and macros link the MM to domain-specific models. A simple yet illustrative industry application is presented, where rotor-dynamics and displacement analyses are performed to evaluate relocation alternatives for the rear bearing position of a rotating machinery under a ‘fan-blade-off’ load case.

Place, publisher, year, edition, pages
2011. Vol. 19, no 4, p. 295-305
National Category
Other Engineering and Technologies not elsewhere specified Applied Mechanics
Research subject
Functional Product Development; Solid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-10909DOI: 10.1177/1063293X11424511ISI: 000297701300003Scopus ID: 2-s2.0-83455201770Local ID: 9cce8e00-f3ef-11df-8b36-000ea68e967bOAI: oai:DiVA.org:ltu-10909DiVA, id: diva2:983857
Note
Validerad; 2011; 20101119 (marsan)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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