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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
JWJ. 2021;39(1):27-35.   Published online 2021 February 8    DOI: https://doi.org/10.5781/JWJ.2021.39.1.3

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Modeling of Laser Welds Using Machine Learning Algorithm Part I: Penetration Depth for Laser Overlap Al/Cu Dissimilar Metal Welds
Journal of Welding and Joining. 2021;39(1):27-35   Crossref logo
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Modeling of Laser Welds Using Machine Learning Algorithm Part II: Geometry and Mechanical Behaviors of Laser Overlap Welded High Strength Steel Sheets
Journal of Welding and Joining. 2021;39(1):36-44   Crossref logo
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Microstructure and Residual Stresses in Dissimilar Mg-Al-Zn-Alloy Single Overlap Laser Beam Welds
Materials Science Forum. 2008;571-572:361-366   Crossref logo
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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
Optics & Laser Technology. 2020;126:106135   Crossref logo
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Prediction and experimental validation of penetration depth of butt welds in thin plates using superimposed laser sources
NDT & E International. 2012;50:10-19   Crossref logo
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Low temperature heat treatments of AA5754-Ti6Al4V dissimilar laser welds: Microstructure evolution and mechanical properties
Optics & Laser Technology. 2018;100:109-118   Crossref logo
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Crystallization of dissimilar Ti/Cu/steel laser welds
Journal of Crystal Growth. 2019;526:125212   Crossref logo
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Laser Welding of High-Strength CP Steels: Dissimilar Welds
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Laser monitor improves part welds
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Microstructure of laser-TIG hybrid welds of dissimilar Mg alloy and Al alloy with Ce as interlayer
Scripta Materialia. 2006;55(4):383-386   Crossref logo
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