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 Nix 
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.

PRESENTED BY:
Mattia Brenner
Head of Sales Europe
FRIENDSHIP SYSTEMS

Sarang Vijayraghavan
Senior Research Engineer
CONVERGENT SCIENCE