Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach
Jan Horňas, Jiří Běhal, Petr Homola, Sascha Senck, Martin Holzleitner, Norica Godja, Zsolt Pásztor, Bálint Hegedüs, Radek Doubrava, Roman Růžek, Lucie Petrusová
Research output: Contribution to journal › Article › peer-review
44Citations
(Scopus)
Fingerprint
Dive into the research topics of 'Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach'. Together they form a unique fingerprint.