| KEYWORD |
Durability data analysis: Automation of choosing durability test best lap. In collaboration with FCA Italy e con tirocinio di 4 mesi (Torino)
Thesis in external company
keywords DURABILITY, EXPERIMENTAL TESTS
Reference persons DAVIDE SALVATORE PAOLINO
External reference persons Giuseppe Bruno (FCA ITaly)
Research Groups 12-Meccanica dei materiali e delle giunzioni: modelli, fatica, impatto e prove
Thesis type THESIS WITH COMPANY STAGE
Description The project will focus on the development of a new software/script useful to speed up the process of Durability structural data acquisition and analysis. Starting from the experimental tests performed in Balocco Proving Ground will be defined the mathematic algorithms in order to identify the quality level of data acquired.
Required skills Main challenges of thesis project period are:
● Develop a simplified model in Matlab/Python identifying the proper level of detail, starting from experimental data;
● Identify different signal events:
○ sensor setup problems;
○ execution errors by the Driver: speed not in target, acceleration not in target and so on;
● Model verification with experimental measurements;
● Build KPIs as reference in order select the best lap (golden pass).
Notes Starting period 01/03/2023
Reimbursement: mensa / business travel Balocco Proving Ground se necessario
Deadline 19/12/2023
PROPONI LA TUA CANDIDATURA