dc.contributor
Universitat Politècnica de Catalunya. Departament de Física
dc.contributor
Villardi de Montlaur, Adeline de
dc.contributor
Valero García, Miguel
dc.contributor.author
Batanero Ramírez, Rubén
dc.date.issued
2022-09-12
dc.identifier
https://hdl.handle.net/2117/372685
dc.identifier
PRISMA-169137
dc.description.abstract
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.
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject
Àrees temàtiques de la UPC::Aeronàutica i espai::Aerodinàmica
dc.subject
Neural networks (Computer science)
dc.subject
Formula Student
dc.subject
Vilanova Formula Team
dc.subject
Genetic Algorithm
dc.subject
Neural Network
dc.subject
Solidworks Flow Simulation
dc.subject
Xarxes neuronals (Informàtica)
dc.title
FSAE aerodynamics and lap time simulator
