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On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg

Erfan Maleki, Sara Bagherifard, Nima Razavi, Michele Bandini, Anton du Plessis, Filippo Berto, Mario Guagliano

2022International Journal of Fatigue77 citationsDOIOpen Access PDF

Topics & Concepts

Ultimate tensile strengthMaterials scienceResidual stressShot peeningMicrostructureIndentation hardnessSurface roughnessFatigue limitArtificial neural networkBendingSurface finishPorosityLaser peeningComposite materialStructural engineeringComputer scienceMachine learningEngineeringAdditive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesWelding Techniques and Residual Stresses
On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg | Litcius