Automated Optimization Workflow for a Diesel Piston Bowl using CAESES and CONVERGE CFD

Presented By:

Mattia Brenner
Head of Sales Europe
FRIENDSHIP SYSTEMS

Sarang Vijayraghavan
Senior Research Engineer
Convergent Science

Diesel engines are commonplace across the industry due to their economic and reliability advantages. Optimization of the piston bowl geometry as well as the injection strategy can be very effective in reducing NOx and soot emissions. This webinar will show how an automated workflow can be established with CAESES and CONVERGE CFD for optimization.

A variable parametric geometry of the piston bowl with an automated adjustment of the compression volume was generated in CAESES. CAESES drives the automated execution of CONVERGE CFD computations including the consideration of physics parameters such as injection timing and spray orientation. A multi-objective genetic algorithm was employed in the optimization.