Nationality: Spanish
Funding entity and Program: PIPF -Realization on INTA
PhD Thesis
Advancing Road Vehicle Design: Machine Learning-based Aerodynamic Shape Optimization
Supervisors
Carlos Sanmiguel Vila (INTA-UC3M) & Rodrigo Castellanos (INTA)
Abstract
In the rapidly evolving automotive industry, the intricacies of aerodynamics demand fresh approaches for swift, reliable, and efficient solutions. This thesis delves into data-driven methods, offering a comprehensive perspective on optimising a road vehicle’s aerodynamic shape from a holistic point of view, minimising its aerodynamic resistance, and ensuring stability via lift balance.