Fatigue life prediction of a L-PBF component in Ti-6Al-4V using sample data, FE-based simulations and machine learning - Concepedia

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Publication | Open Access

Fatigue life prediction of a L-PBF component in Ti-6Al-4V using sample data, FE-based simulations and machine learning

DOI Full Paper Access

24

Citations

23

References

2022

Year

Antonio Cutolo, Nicolas Lammens, Koen Vanden Boer, Hunor Erdelyi, Matthias Schulz, Gokula Krishna Muralidharan, Lore Thijs, Chola Elangeswaran, Brecht Van Hooreweder

International Journal of Fatigue

EngineeringMachine LearningService Life PredictionLife PredictionMechanical EngineeringL-pbf ComponentStructural Health MonitoringFatigue Life PredictionLow-cycle FatiguePhysic Of Failure

References

	Year	Citations

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