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Multidisciplinary Design Optimization of Automotive Structures
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, The Institute of Technology.
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Multidisciplinary design optimization (MDO) can be used as an effective tool to improve the design of automotive structures. Large-scale MDO problems typically involve several groups who must work concurrently and autonomously for reasons of efficiency. When performing MDO, a large number of designs need to be rated. Detailed simulation models used to assess automotive design proposals are often computationally expensive to evaluate. A useful MDO process must distribute work to the groups involved and be computationally efficient.

In this thesis, MDO methods are assessed in relation to the characteristics of automotive structural applications. Single-level optimization methods have a single optimizer, while multi-level optimization methods have a distributed optimization process. Collaborative optimization and analytical target cascading are possible choices of multi-level optimization methods for automotive structures. They distribute the design process, but are complex. One approach to handle the computationally demanding simulation models involves metamodel-based design optimization (MBDO), where metamodels are used as approximations of the detailed models during optimization studies. Metamodels can be created by individual groups prior to the optimization process, and therefore also offer a way of distributing work. A single-level optimization method in combination with metamodels is concluded to be the most straightforward way of implementing MDO into the development of automotive structures.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. , 60 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1578
Keyword [en]
Multidisciplinary design optimization (MDO); single-level optimization methods; multi-level optimization methods; metamodel-based design optimization (MBDO); automotive structures
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-89136Local ID: LIU-TEK-LIC-2013:12ISBN: 978-91-7519-688-6 (print)OAI: oai:DiVA.org:liu-89136DiVA: diva2:607186
Presentation
2013-03-08, A32, Hus A, Campus Valla, Linköpings universitet, Linköping, 10:15 (Swedish)
Opponent
Supervisors
Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2017-09-14Bibliographically approved
List of papers
1. Multidisciplinary design optimisation methods for automotive structures
Open this publication in new window or tab >>Multidisciplinary design optimisation methods for automotive structures
2017 (English)In: International Journal of Automotive and Mechanical Engineering, ISSN 2229-8649, Vol. 14, no 1, 4050-4067 p.Article in journal (Refereed) Published
Abstract [en]

Multidisciplinary design optimisation (MDO) can be used as an effective tool to improve the design of automotive structures. Large-scale MDO problems typically involve several groups who must work concurrently and autonomously in order to make the solution process efficient. In this article, the formulations of existing MDO methods are compared and their suitability is assessed in relation to the characteristics of automotive structural applications. Both multi-level and single-level optimisation methods are considered. Multi-level optimisation methods distribute the design process but are complex. When optimising automotive structures, metamodels are often required to relieve the computational burden of detailed simulation models. The metamodels can be created by individual groups prior to the optimisation process, and thus offer a way of distributing work. Therefore, it is concluded that a single-level method in combination with meta-models is the most straightforward way of implementing MDO into the development of automotive structures. If the benefits of multi-level optimisation methods, in a special case, are considered to compensate for their drawbacks, analytical target cascading has a number of advantages over collaborative optimisation, but both methods are possible choices.

Place, publisher, year, edition, pages
Pekan, Malaysia: Universiti Malaysia Pahang Publishing, 2017
Keyword
Multidisciplinary design optimisation, single-level optimisation methods, multilevel optimisation methods, automotive structures
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-140876 (URN)10.15282/ijame.14.1.2017.17.0327 (DOI)
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2017-09-19Bibliographically approved
2. A metamodel-based multidisciplinary design optimization process for automotive structures
Open this publication in new window or tab >>A metamodel-based multidisciplinary design optimization process for automotive structures
2015 (English)In: Engineering with Computers, ISSN 0177-0667, E-ISSN 1435-5663, Vol. 31, no 4, 711-728 p.Article in journal (Refereed) Published
Abstract [en]

Automotive companies continuously strive to design better products faster and more cheaply using simulation models to evaluate every possible aspect of the product. Multidisciplinary design optimization (MDO) can be used to find the best possible design taking into account several disciplines simultaneously, but it is not yet fully integrated within automotive product development. The challenge is to find methods that fit company organizations and that can be effectively integrated into the product development process. Based on the characteristics of typical automotive structural MDO problems, a metamodel-based MDO process intended for large-scale applications with computationally expensive simulation models is presented and demonstrated in an example. The process is flexible and can easily fit into existing organizations and product development processes where different groups work in parallel. The method is proven to be efficient for the discussed example and improved designs can also be obtained for more complex industrial cases with comparable characteristics.

Place, publisher, year, edition, pages
Springer, 2015
Keyword
Multidisciplinary design optimization (MDO); metamodel-based design optimization (MBDO); automotive structures
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-88135 (URN)10.1007/s00366-014-0381-y (DOI)000360859000004 ()
Available from: 2013-01-30 Created: 2013-01-30 Last updated: 2017-12-06Bibliographically approved

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