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

Even though arc welding is widely utilized to join metallic parts with high reliability, the prediction and control of welding quality is challenging owing to difficulties in the prediction of weld penetration depth and the backside bead. In this study, an effective method for predicting weld penetr...

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Veröffentlicht in:Journal of intelligent manufacturing 2024, Vol.35 (1), p.129-145
Hauptverfasser: Baek, Daehyun, Moon, Hyeong Soon, Park, Sang-Hu
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Sprache:eng
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