Optimization of a heavy-duty compression–ignition engine fueled with diesel and gasoline-like fuels
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference32 articles.
1. CFD modeling a heavy-duty compression–ignition engine fueled with diesel and gasoline-like fuels;Shi;Int J Engine Res,2010
2. Kong SC, Han ZY, Reitz RD. The development and application of a diesel ignition and combustion model for multidimensional engine simulations. SAE Paper 950278; 1995.
3. Validation of engine combustion models against detailed in-cylinder optical diagnostics data for a heavy-duty compression–ignition engine;Singh;Int J Engine Res,2007
4. A case study on the application of a genetic algorithm for optimization of engine parameters;Verma;Proc Inst Mech Eng Part D-J Automob Eng,2006
5. Hiroyasu T, Hiroyasu H, Miki M. Reduction of heavy-duty diesel engine emission and fuel economy with multi-objective genetic algorithm and phenomenological model. SAE Paper 2004-01-0531; 2004.
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