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- W11760011 abstract "This thesis discusses the possibility to use modern optimizations methods in engine development and more specifically how to optimize a five cylinder, naturally aspirated engine when serial intake valves (SIV) have been added to its configuration. Both the SIV settings and the hardware of the engine can be optimized. The optimization problem to be solved is a ”black-box” optimization problem, since the objective function’s form as well as its derivatives are unknown. Also, each function value takes considerable time to compute. We evaluated five algorithms on a simpler engine problem and found that Powell’s NEWUOA and Gutmann’s rbfSolve were worth utilizing since they gave the best improvement over the starting solution and also used the least number of function evaluations. The result is promising. Our calculations show that the SIV can decrease the fuel consumption up to 14% compared to that of an engine without SIV and about 5% compared to that of a non-optimized engine with SIV. Our conclusion is that ”black-box” optimization can be a valuable tool for improvements in the area of engine development. The outcome of this thesis is of interest for engine developers, both for its emphasis on SIV and for its analysis of optimization in engine development. The thesis should also interest someone who wants to introduce the use of optimization algorithms in new areas of specializations, with similar black-box optimization problems." @default.
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- W11760011 date "2004-01-01" @default.
- W11760011 modified "2023-09-24" @default.
- W11760011 title "Black Box Optimization in Engine Development" @default.
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