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Multidisciplinary design optimisation methods for automotive structures
Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Mekanik och hållfasthetslära.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Mekanik och hållfasthetslära. Linköpings universitet, Tekniska fakulteten. Combitech AB, Trollhättan, Sweden.
Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Mekanik och hållfasthetslära.
2017 (engelsk)Inngår i: International Journal of Automotive and Mechanical Engineering, ISSN 2229-8649, Vol. 14, nr 1, s. 4050-4067Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Pekan, Malaysia: Universiti Malaysia Pahang Publishing , 2017. Vol. 14, nr 1, s. 4050-4067
Emneord [en]
Multidisciplinary design optimisation, single-level optimisation methods, multilevel optimisation methods, automotive structures
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-140876DOI: 10.15282/ijame.14.1.2017.17.0327OAI: oai:DiVA.org:liu-140876DiVA, id: diva2:1141144
Tilgjengelig fra: 2017-09-14 Laget: 2017-09-14 Sist oppdatert: 2018-02-26bibliografisk kontrollert
Inngår i avhandling
1. Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures
Åpne denne publikasjonen i ny fane eller vindu >>Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods.

The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance.

A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.

sted, utgiver, år, opplag, sider
Linköping, Sweden: Linköping University Electronic Press, 2017. s. 48
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1870
Emneord
multidisciplinary design optimization (MDO), metamodel, artificial neural network (ANN), support vector machine (SVM), sequential sampling, crashworthiness, automotive structure, spot weld optimization
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-140875 (URN)10.3384/diss.diva-140875 (DOI)9789176854822 (ISBN)
Disputas
2017-10-03, C3, Hus C, Campus Valla, Linköping, 10:15 (engelsk)
Opponent
Veileder
Forskningsfinansiär
Vinnova, 2009-00314Vinnova, 2014-01340
Tilgjengelig fra: 2017-09-14 Laget: 2017-09-14 Sist oppdatert: 2019-10-11bibliografisk kontrollert
2. Multidisciplinary Design Optimization of Automotive Structures
Åpne denne publikasjonen i ny fane eller vindu >>Multidisciplinary Design Optimization of Automotive Structures
2013 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2013. s. 60
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1578
Emneord
Multidisciplinary design optimization (MDO); single-level optimization methods; multi-level optimization methods; metamodel-based design optimization (MBDO); automotive structures
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-89136 (URN)LIU-TEK-LIC-2013:12 (Lokal ID)978-91-7519-688-6 (ISBN)LIU-TEK-LIC-2013:12 (Arkivnummer)LIU-TEK-LIC-2013:12 (OAI)
Presentation
2013-03-08, A32, Hus A, Campus Valla, Linköpings universitet, Linköping, 10:15 (svensk)
Opponent
Veileder
Tilgjengelig fra: 2013-02-22 Laget: 2013-02-22 Sist oppdatert: 2019-12-08bibliografisk kontrollert
3. Metamodel-Based Design Optimization: A Multidisciplinary Approach for Automotive Structures
Åpne denne publikasjonen i ny fane eller vindu >>Metamodel-Based Design Optimization: A Multidisciplinary Approach for Automotive Structures
2013 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Automotive companies are exposed to tough competition and therefore strive to design better products in a cheaper and faster manner. This challenge requires continuous improvements of methods and tools, and simulation models are therefore used to evaluate every possible aspect of the product. Optimization has become increasingly popular, but its full potential is not yet utilized. The increased demand for accurate simulation results has led to detailed simulation models that often are computationally expensive to evaluate. Metamodel-based design optimization (MBDO) is an attractive approach to relieve the computational burden during optimization studies. Metamodels are approximations of the detailed simulation models that take little time to evaluate and they are therefore especially attractive when many evaluations are needed, as e.g. in multidisciplinary design optimization (MDO).

In this thesis, state-of-the-art methods for metamodel-based design optimization are covered and different multidisciplinary design optimization methods are presented. An efficient MDO process for large-scale automotive structural applications is developed where aspects related to its implementation is considered. The process is described and demonstrated in a simple application example. It is found that the process is efficient, flexible, and suitable for common structural MDO applications within the automotive industry. Furthermore, it fits easily into an existing organization and product development process and improved designs can be obtained even when using metamodels with limited accuracy. It is therefore concluded that by incorporating the described metamodel-based MDO process into the product development, there is a potential for designing better products in a shorter time.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2013. s. 78
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1565
Emneord
Metamodel-based design optimization (MBDO); multidisciplinary design optimization (MDO); automotive structures
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-88136 (URN)LIU-TEK-LIC-2013:1 (Lokal ID)978-91-7519-721-0 (ISBN)LIU-TEK-LIC-2013:1 (Arkivnummer)LIU-TEK-LIC-2013:1 (OAI)
Presentation
2013-01-25, A36, Hus A, ingång 15 plan 3, Campus Valla, Linköpings universitet, Linköping, 10:15 (svensk)
Opponent
Veileder
Tilgjengelig fra: 2013-01-30 Laget: 2013-01-30 Sist oppdatert: 2019-12-08bibliografisk kontrollert

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