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In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding

Daehyun Baek, Hyeong-Soon Moon, Sang‐Hu Park

2022Journal of Intelligent Manufacturing58 citationsDOI

Topics & Concepts

WeldingWeld poolGas tungsten arc weldingPenetration depthShielding gasArtificial neural networkMaterials scienceHeat-affected zonePenetration (warfare)Arc blowSegmentationMechanical engineeringArc weldingArtificial intelligenceComputer scienceMetallurgyEngineeringOpticsPhysicsOperations researchWelding Techniques and Residual StressesAdditive Manufacturing Materials and ProcessesNon-Destructive Testing Techniques
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding | Litcius