|Tipo di tesi||Tesi di laurea magistrale|
|Titolo||ANALISI FLUIDO-STRUTTURA DI UN'ALA ANTERIORE DI UNA MONOPOSTO DI F1®|
|Titolo in inglese||FLUID – STRUCTURE INTERACION ANALYSIS OF A F1® FRONT WING|
|Struttura||Dipartimento di Ingegneria "Enzo Ferrari"|
|Corso di studi||Advanced Automotive Engineering (D.M.270/04)|
|Data inizio appello||2019-10-24|
|Disponibilità||Embargo di 3 anni|
|Data di rilascio||2022-10-24|
Il lavoro presentato è stato sviluppato in Scuderia Toro Rosso S.p.s. F1® Team.
The presented work has been performed in Scuderia Toro Rosso S.p.a. F1® team. An investigation of the relation between aerodynamic loads and structural behavior of a F1® front wing was performed. Data coming from track have been used to validate a prediction workflow, allowing to simulate the aeroelastic behavior of an aero component (whichever aerodynamic component wished to be studied) prior production release. Track data have been gathered during a F1® track test session, video monitoring the Front Wing assembly during an out lap/fast lap/in lap sequence. The video analysis regards XZ plane movement of the Main Plane and Flaps, and YZ plane movement of the Nose. These videos have been then post-processed with an image tracking software and managed with MatLab® in order to create statistics on the assembly behavior. The following step is to implement a two-way Fluid – Structure Interaction (FSI) workflow to predict the wing’s behavior under aerodynamic loads prior its production, this allows to simulate with a certain degree of correlation the car’s aerodynamic behavior in the CFD study phase. In this study case the computational structural component’s degree of correlation was determined prior the FSI workflow study, while the CFD degree of correlation is unknown. Core of the two-way method is to iterate an exchange of information between FEA and CFD environment, therefore passing baseline pressures from CFD in order to load the FEM structure. The resultant deflection is then used to morph the CFD mesh and run once more the CFD analysis. This loop is iterated until a satisfactory equilibrium is reached. Additionally, the basis for another method has been produced, exploiting the potentialities of the Modal Superposition Method based on the mesh morphing software RBF Morph™, kindly provided by the RBF Morph s.r.l. company, with the technical and scientific support of Prof. Marco Evangelos Biancolini and PhD Doctor Corrado Groth of the University of Rome Tor Vergata. The aim is to compare the two methods and then decide which workflow of the two is the most beneficial for the company.