We are excited to share a new case study showcasing the power of RBF Morph in the automotive industry. Dr. Kevin Cremanns from PI Probaligence GmbH and Emanuele Di Meo, a CAE Senior Engineer from RBF Morph, collaborated to explore predictive capabilities for automotive body pressure using advanced simulations.

The study involved analyzing 51 design variants, 45 of which were used for training and 6 for testing. Using Ansys Fluent, the team simulated over 1.5 million nodes, evaluating how back light angle and boat tail angle influence pressure distribution across a car’s body.

With the help of RBF Morph’s software, this analysis provided precise results that can aid in optimizing car design, reducing drag, and improving aerodynamic performance.

Learn more about this case study and how RBF Morph is revolutionizing simulation-based design in automotive engineering here.