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Modeling of Laser Welds Using Machine Learning Algorithm Part I: Penetration Depth for Laser Overlap Al/Cu Dissimilar Metal Welds |
Kidong Lee, Sanghoon Kang, Minjung Kang, Sung Yi, Soongkeun Hyun, Cheolhee Kim |
J Weld Join. 2021;39(1):27-35. Published online 2021 February 8 DOI: https://doi.org/10.5781/JWJ.2021.39.1.3 |
Modeling of Laser Welds Using Machine Learning Algorithm Part I: Penetration Depth for Laser Overlap Al/Cu Dissimilar Metal Welds Modeling of Laser Welds Using Machine Learning Algorithm Part II: Geometry and Mechanical Behaviors of Laser Overlap Welded High Strength Steel Sheets Penetration Depth Modeling and Process Parameter Maps for Laser Welds Using Machine Learning Microstructure and Residual Stresses in Dissimilar Mg-Al-Zn-Alloy Single Overlap Laser Beam Welds Crystallization of dissimilar Ti/Cu/steel laser welds Effect of the aluminum alloy composition (Al-Cu-Li or Al-Mg-Li) on structure and mechanical properties of dissimilar laser welds with the Ti-Al-V alloy Prediction and experimental validation of penetration depth of butt welds in thin plates using superimposed laser sources Weld-penetration-depth estimation using deep learning models and multisensor signals in Al/Cu laser overlap welding Laser Welding of High-Strength CP Steels: Dissimilar Welds Low temperature heat treatments of AA5754-Ti6Al4V dissimilar laser welds: Microstructure evolution and mechanical properties |
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