Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach

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Authors: Jan Horňas, Jiří Běhal, Petr Homola, Sascha Senck, Martin Holzleitner, Norica Godja, Zsolt Pásztor, Bálint Hegedüs, Radek Doubrava, Roman Růžek, Lucie Petrusová

Journal title: International Journal of Fatigue

Journal number: 169

Journal publisher: Elsevier BV

Published year: 2023

Published pages: 107483

DOI identifier: 10.1016/j.ijfatigue.2022.107483

ISSN: 0142-1123