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Parametric CAD Modeling to aid Simulation-Driven Design: An evaluation and improvement of methods used at Scania
Linköping University, Department of Management and Engineering, Machine Design.
Linköping University, Department of Management and Engineering, Machine Design.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report documents a thesis conducted at Scania CV AB in Södertälje, Sweden. The main purpose of the thesis has been to examine and improve upon current practices of parametric CAD-modeling at Scania, with the ultimate goal of increased design automation and simulation-driven design. The thesis was initiated with a literature study, mainly covering the fields of parametric CAD-modeling, design automation and knowledge-based engineering. Furthermore, a questionnaire and multiple interviews were conducted to assess the awareness and mind-set of the employees. Finally, a case-study was carried out to follow current methodologies, and address any deficiencies found.

Some of the most important findings were that while parametric modeling has considerable potential in enabling design automation, it is crucial, and most beneficial in terms of automation efficiency, to start with the fundamentals, namely achieving a uniform modeling practice. With these findings, a new proposed methodology has been introduced, as well as a recommended plan for a widespread implementation of parametric modeling at Scania. Such implementation would allow for shorter lead-times, faster adaptation to changing conditions, and reduced development expenditures.

Place, publisher, year, edition, pages
2017. , 65 p.
Keyword [en]
CAD, CAE, parameter, parametric, simulation, MDO, DOE, simulation-driven, design, KBE, knowledge-based, knowledge-based engineering, knowledgeware, kwa, kwe, engineering, mechanical, scania, methodology, method, evaluation, model, modeling, modelling, parametrization, CATIA, vba, automation, da, pdm, plm, knowledge, design intent, exploration, optimization, flexible, robust, morphological, topological
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138121ISRN: LIU-IEI-TEK-A--17/02807—SEOAI: oai:DiVA.org:liu-138121DiVA: diva2:1107403
External cooperation
Scania CV AB
Subject / course
Machine Design
Presentation
2017-06-08, Designlandskapet, A-Building, Linköping University, Linköping, 11:00 (English)
Supervisors
Examiners
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-09Bibliographically approved

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fulltext(2164 kB)53 downloads
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CiteExportLink to record
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Citation style
  • apa
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Output format
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