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An Optimization Technique for Diesel Engine Combustion Using a Micro Genetic Algorithm  

김동광 (고등기술연구원)
조남효 (고등기술연구)
차순창 (대우종합기계(주)
조순호 (대우종합기계(주))
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.12, no.3, 2004 , pp. 51-58 More about this Journal
Abstract
Optimization of engine desist and operation parameters using a genetic algorithm was demonstrated for direct injection diesel engine combustion. A micro genetic algorithm and a modified KIVA-3V code were used for the analysis and optimization of the engine combustion. At each generation of the optimization step the micro genetic algorithm generated five groups of parameter sets, and the five cases of KIVA-3V analysis were to be performed either in series or in parallel. The micro genetic algorithm code was also parallelized by using MPI programming, and a multi-CPU parallel supercomputer was used to speed up the optimization process by four times. An example case for a fixed engine speed was performed with six parameters of intake swirl ratio, compression ratio, fuel injection included angle, injector hole number, SOI, and injection duration. A simultaneous optimization technique for the whole range of engine speeds would be suggested for further studies.
Keywords
Micro genetic algorithm; Optimization; Combustion; Diesel Engine; KIVA-3V code; ${\mu}$GA;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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