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Combustion engine optimization: A multiobjective approach

S Jakobsson ; M Saif-Ul-Hasnain ; Robert Rundqvist ; Fredrik Edelvik ; Björn Andersson ; Michael Patriksson (Institutionen för matematiska vetenskaper, matematik) ; M Ljungqvist ; D Lortet ; K Wallesten
Optimization & Engineering (1389-4420). Vol. 11 (2010), 4, p. 533-554.
[Artikel, refereegranskad vetenskaplig]

To simulate the physical and chemical processes inside combustion engines is possible by appropriate software and high performance computers. For combustion engines a good design is such that it combines a low fuel consumption with low emissions of soot and nitrogen oxides. These are however partly conflicting requirements. In this paper we approach this problem in a multi-criteria setting which has the advantage that it is possible to estimate the trade off between the different objectives and the decision of the optimal solution is postponed until all possibilities and limitations are known. The optimization algorithm is based on surrogate models and is here applied to optimize the design of a diesel combustion engine.

Nyckelord: Combustion engine, Simulation-based optimization, Multiobjective optimization, Surrogate models, Radial basis functions

Denna post skapades 2009-08-12. Senast ändrad 2016-07-19.
CPL Pubid: 95906


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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematik (2005-2016)


Numerisk analys
Optimeringslära, systemteori

Chalmers infrastruktur