Heavy-duty diesel combustion optimization using multi-objective genetic algorithm and multi-dimensional modeling

SAE Technical Papers

Volumn , Issue , 2009, Pages

  Ge, Hai Wen ^a   Shi, Yu ^a   Reitz, Rolf D ^a   Wickman, David D ^b   Zhu, Guangsheng ^c   Zhang, Houshun ^c   Kalish, Yury ^c  

^a University of Wisconsin Madison   (United States)

^b Wisconsin Engine Research Consultants LLC   (United States)

^c Detroit Diesel Corp   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMBUSTION; COMPUTATIONAL EFFICIENCY; DESIGN OF EXPERIMENTS; DIESEL ENGINES; FUEL ECONOMY; FUEL INJECTION; FUELS; GENETIC ALGORITHMS; MESH GENERATION; NOZZLE DESIGN; PISTONS; SURFACE ANALYSIS; TEMPERATURE CONTROL;

DIFFERENT OPERATING CONDITIONS; FUEL INJECTION NOZZLE; HEAVY-DUTY DIESEL ENGINE; MULTI-DIMENSIONAL MODEL; MULTI-OBJECTIVE GENETIC ALGORITHM; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); PEAK CYLINDER PRESSURES; RESPONSE SURFACE ANALYSIS METHODS;

ENGINE PISTONS;

EID: 85072365294     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2009-01-0716     Document Type: Conference Paper

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