KEYWORD |
12-Meccanica dei materiali e delle giunzioni: modelli, fatica, impatto e prove
Application of Machine Learning algorithms to the analysis of the fatigue response of metallic parts produced through Additive Manufacturing (AM) processes.
Reference persons ANDREA TRIDELLO
Research Groups 12-Meccanica dei materiali e delle giunzioni: modelli, fatica, impatto e prove
Thesis type RESEARCH
Description In this thesis different Machine Learning algorithms are employed to estimate the stress-life relationship of parts produced through Additive Manufacturing (AM) processes. The efficiency of the employed algorithms is verified and compared by considering literature datasets.
Deadline 05/08/2023
PROPONI LA TUA CANDIDATURA