Litcius/Paper detail

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

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

2022International Journal of Fatigue30 citationsDOIOpen Access PDF

Topics & Concepts

Component (thermodynamics)Fatigue testingSample (material)Materials scienceStress (linguistics)Work (physics)Structural engineeringComputer scienceArtificial intelligenceMechanical engineeringEngineeringComposite materialChromatographyPhilosophyChemistryPhysicsThermodynamicsLinguisticsAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual StressesAdditive Manufacturing and 3D Printing Technologies