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Machine learning-enabled predictions of as-built relative density and high-cycle fatigue life of Ti6Al4V alloy additively manufactured by laser powder bed fusion

Tao Shen, Wei Zhang, Bo Li

2023Materials Today Communications23 citationsDOI

Topics & Concepts

Materials scienceProcess (computing)Titanium alloyFusionArtificial neural networkMachine learningComputer scienceRelative densityMultilayer perceptronArtificial intelligenceFeature (linguistics)Property (philosophy)AlloyMechanical engineeringComposite materialMicrostructureEngineeringOperating systemLinguisticsEpistemologyPhilosophyAdditive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesWelding Techniques and Residual Stresses
Machine learning-enabled predictions of as-built relative density and high-cycle fatigue life of Ti6Al4V alloy additively manufactured by laser powder bed fusion | Litcius