The multi-objective optimization of combustion chamber of DI diesel engine by NLPQL algorithm

摘要

The optimization procedure used in the present investigation is based on NLPQL algorithms and focused on the reduction of soot and NOx simultaneously while maintaining a reasonable power performance. The parameters to be optimized are related to the injection and geometric features of the combustion chambers, which greatly influences the process of air/fuel mixing, combustion and emissions formation.