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  KEYWORD

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




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