抄録
For diesel engine combustion, nitrogen oxide (NOx) and soot emissions are major problems. These emissions are mainly controlled by piston geometry. In this work, we conduct multi-objective optimization of piston geometry. Objective functions are related to NOx, soot and CO emissions, as well as indicated thermal efficiency. Theses values are evaluated by GTT code that takes into account the fluid, fuel spray and combustion. Genetic Algorithm using Kriging approximation model is applied as optimization tool. The result shows that optimized shape reduces emissions as well as maintains thermal efficiency.
