Optimization of a 3D Combustion Bowl Geometry Using Response Surface Modeling

Prediction of combustion system performance in the design stage via simulation tools can facilitate the reduction of iterations in the testing stage. Simulation tools can be used not only to predict the overall system performance for a certain set of hardware but can also be used to optimize the hardware. In this work, we intend to demonstrate the approach of Response Surface Modeling (RSM) to optimize the geometries of combustion systems from a performance and emission perspective. The Gaussian Process RSM algorithm, supplemented by Uniform Latin Hypercube (ULH) and Incremental Space Filler (ISF) Design of Experiment (DOE), has been used to arrive at an optimized piston bowl geometry for a Direct Injection (DI) diesel engine, having the potential to perform well both at the rated power and maximum torque operating points.