2026-04-13T16:49:05Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3726852025-07-23T00:43:57Zcom_2072_1033col_2072_452951

FSAE aerodynamics and lap time simulator Batanero Ramírez, Rubén Universitat Politècnica de Catalunya. Departament de Física Villardi de Montlaur, Adeline de Valero García, Miguel Àrees temàtiques de la UPC::Aeronàutica i espai::Aerodinàmica Neural networks (Computer science) Aerodynamics Formula Student FSAE Vilanova Formula Team Genetic Algorithm Neural Network Deep Learning Aerodynamics CFD Solidworks Flow Simulation Unity Xarxes neuronals (Informàtica) Aerodinàmica Aerodynamic design of a Formula Student racing car using Solidworks Flow Simulation. The devices designed are compatible with the Vilanova Formula Team 2022 racing car. The project also contains the development of a deep learning tool to test the track efficiency of the car. This tool compares different aerodynamic configurations in a determined track before building the car. 2022-09-12 Bachelor thesis https://hdl.handle.net/2117/372685 PRISMA-169137 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access application/pdf Universitat Politècnica de Catalunya