2020
DOI: 10.5781/jwj.2020.38.5.8
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A Study on Optimization of Fillet in Laser Welding Process for 9% Ni Steel Using Gradient-Based Optimization Algorithm

Abstract: Because more than 90% of the domestic manufacturing processes for the Liquefied Natural Gas (LNG) storage tanks rely on welding and processing technologies, the advancement of welding and processing technologies is directly connected to the productivity and therefore the advancement is critical to be competitive in the domestic shipbuilding industry. The welding technology using a laser light source is a more advanced technology than conventional arc welding in terms of workability, precision, and productivity… Show more

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Cited by 10 publications
(9 citation statements)
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“…Naturally, our previous studies are similar to other past research [7]. Yun [8] performed an optimization of fillet laser welding for 9% Ni steel. Na [9] compared GTAW and FCAW for 9% Ni steel.…”
Section: Introductionsupporting
confidence: 80%
“…Naturally, our previous studies are similar to other past research [7]. Yun [8] performed an optimization of fillet laser welding for 9% Ni steel. Na [9] compared GTAW and FCAW for 9% Ni steel.…”
Section: Introductionsupporting
confidence: 80%
“…Naturally, the previous studies are similar to past research [7]. Yun [8] performed the optimization of fillet laser welding for 9% Ni steel, and Na [9] compared GTAW and FCAW for 9% Ni steel. Kim [10] designed the LNG fueled ship with 9% Ni steel and evaluated the welding performance.…”
Section: Introductionsupporting
confidence: 66%
“…Kim [ 12 ] researched the design and weldability for LNG fueled tank with 9% nickel steel. Yun [ 13 ] searched the optimal welding process of fiber laser fillet welding with a gradient-based optimization method. Kim [ 14 ] applied the deep learning method to gas metal arc welding.…”
Section: Introductionmentioning
confidence: 99%