Optimization of a 3D Combustion Bowl Geometry using Response Surface Modeling (RSM)
The Diesel engine combustion system performance trade-off study and its complex combustion parameters make it difficult to analyze the prediction of each parameter in detail with traditional simulation and testing methods. These challenges lead to large computational time and cost. However, to facilitate the reduction of iterations in the simulation and testing stage, the DOE and Optimization can help at the design stage.
This presentation demonstrates the benefit of using Response Surface Modeling (RSM) to optimize the geometries of combustion systems from performance and emission perspective.
The Gaussian Process RSM algorithm, supplemented by Uniform Latin Hypercube (ULH) and Incremental Space Filler (ISF) DOE designs, has been used to arrive at an optimized piston bowl geometry for a DI diesel engine, having the potential to perform well both at the rated power and maximum torque operating points. modeFRONTIER is used to carry out the optimization process.