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Cited article:

Predicting fatigue life of metal LPBF components by combining a large fatigue database for different sample conditions with novel simulation strategies

Chola Elangeswaran, Antonio Cutolo, Simone Gallas, Tien Dung Dinh, Nicolas Lammens, Hunor Erdelyi, Matthias Schulz, Gokula Krishna Muralidharan, Lore Thijs, Tom Craeghs, Evy De Bruycker, Koen Vanden Boer, Stijn Clijsters, Jan Peirs, Wim Desmet, Wim Van Paepeghem and Brecht Van Hooreweder
Additive Manufacturing 102570 (2021)
https://doi.org/10.1016/j.addma.2021.102570

Cracking simulation‐based fatigue life assessment

Mahmoud M. Farag, Ramy M. El‐Kady and Mohammad M.I. Hammouda
Fatigue & Fracture of Engineering Materials & Structures 43 (6) 1226 (2020)
https://doi.org/10.1111/ffe.13196

Polycrystal modelling of fatigue: Pre-hardening and surface roughness effects on damage initiation for 304L stainless steel

A. Le Pécheur, F. Curtit, M. Clavel, et al.
International Journal of Fatigue 45 48 (2012)
https://doi.org/10.1016/j.ijfatigue.2012.06.014

Thermo-mechanical FE model with memory effect for 304L austenitic stainless steel presenting microstructure gradient

A. Le Pécheur, F. Curtit, M. Clavel, et al.
International Journal of Fatigue 45 106 (2012)
https://doi.org/10.1016/j.ijfatigue.2012.05.016