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Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements

Dominik Kozjek, Fred M. Carter, Conor Porter, Jon-Erik Mogonye, Kornel F. Ehmann, Jian Cao

2022Journal of Manufacturing Processes29 citationsDOI

Topics & Concepts

Materials sciencePorosityFusionLaser power scalingProcess (computing)Model predictive controlSurface roughnessArtificial intelligenceMechanical engineeringMachine learningLaserAlgorithmComputer scienceOpticsComposite materialControl (management)EngineeringLinguisticsPhilosophyOperating systemPhysicsAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual StressesAdditive Manufacturing and 3D Printing Technologies
Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements | Litcius