Prediction of mechanical behaviors of L-DED fabricated SS 316L parts via machine learning
Israt Zarin Era, Manikanta Grandhi, Zhichao Liu
Topics & Concepts
Random forestUltimate tensile strengthMean squared errorGradient boostingElastic net regularizationExtreme learning machineRidgeRapid prototypingMaterials scienceBoosting (machine learning)Laser power scalingRegressionAerospaceAlgorithmComputer scienceMachine learningComposite materialPower (physics)Feature selectionMathematicsEngineeringArtificial neural networkStatisticsAerospace engineeringBiologyPaleontologyQuantum mechanicsPhysicsAdditive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing TechnologiesWelding Techniques and Residual Stresses