Combustion engine optimization: A multiobjective approach
Artikel i vetenskaplig tidskrift, 2010
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.
Simulation-based optimization
Multiobjective optimization
Radial basis functions
Surrogate models
Combustion engine
Författare
Stefan Jakobsson
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik
M Saif-Ul-Hasnain
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik
Robert Rundqvist
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik
Fredrik Edelvik
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik
Björn O Andersson
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik
Michael Patriksson
Chalmers, Matematiska vetenskaper, Matematik
Göteborgs universitet
M Ljungqvist
Volvo Cars
D Lortet
Volvo Group
K Wallesten
Volvo Group
Optimization and Engineering
1389-4420 (ISSN) 15732924 (eISSN)
Vol. 11 4 533-554Ämneskategorier
Beräkningsmatematik
Strömningsmekanik och akustik
DOI
10.1007/s11081-009-9090-6