We are pleased to present the Master’s thesis of Daniele Patrizi, discussed at the University of Rome Tor Vergata, which explores a novel automatic design exploration workflow for road vehicle aerodynamics. This research leverages RBF Morph to streamline shape optimization, integrating a high-fidelity CFD solver with a meshless morphing approach.

Key aspects of the methodology include:

• Parametric shape modification using the RBF Morph ACT Extension within ANSYS Mechanical.
• Optimal Space-Filling algorithm to efficiently explore the design space.
• Automated CFD simulations via STAR-CCM+ to assess aerodynamic performance.

This workflow eliminates the challenges associated with traditional CAD-based geometric parameterization, ensuring smooth shape variations while reducing computational overhead. Two applications demonstrate its effectiveness: drag reduction optimization on the ASMO (Aerodynamics Studien Model); design refinement of a Volvo side-view mirror to minimize fluid film accumulation on a camera lens.

By enhancing automation and accuracy in aerodynamics optimization, this research represents a significant advancement in Computer-Aided Engineering (CAE).

You can read the presentation and the thesis.