Développement d’un modèle MFN pour l’analyse et la prédiction des performances d’un prototype de formule SAE en conditions de virage

Abstract

This master’s thesis presents the aerodynamic study of a Formula SAE prototype designed and manufactured by ÉTS students, utilizing Computational Fluid Dynamics (CFD) tools such as StarCCM+. Since the 2010s, Formule ÉTS members have focused on the impact of aerodynamics on vehicle performance, implementing sophisticated methodologies to design world-class aerodynamic devices. Until recently, these methods involved external flow simulations on a half-car model in straight-line conditions (SLSM), assuming symmetry, to optimize characteristics such as downforce and drag. The straight-line method has yielded encouraging results, showing discrepancies of less than 4% compared to wind tunnel data, as well as a clear correlation with experimental data collected on track. Adjoint optimization methods have also been explored for specific cases within the SLSM framework, offering advantageous solutions compared to standard straight line simulation data. However, addressing the main critique regarding the model’s lack of relevance in critical cornering conditions, a specific Cornering Simulation Model (CSM) was developed to better understand flow behavior during steady-state cornering. The reliability of this model is evaluated against straight-line results, as well as track and wind tunnel tests, showing differences not exceeding 6%, along a rigorous correlation to existing scientific references based on large eddy simulations. This provides a new, more suitable tool for the study of Formula SAE aerodynamics. The methodology related to wind tunnel testing is also detailed to provide the necessary elements to reproduce these tests and to ensure the long-term quality of aerodynamic results.

Date	12 Aug 2026
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Giuseppe Di Labbio (Supervisor) & Simon Joncas (Co-supervisor)