2021
DOI: 10.1007/s40194-021-01200-5
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Numerical simulation of S355JR-316L dissimilar metal welding

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Cited by 9 publications
(4 citation statements)
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“…Huang et al 22 S355JR 2 316L dissimilar metal welding SYSWELD Heinze et al 23 S355J2 + N (ASTM A572 Gr.50) SYSWELD Chukkan et al 24 Stainless steel welding SYSWELD Yang 25 Stainless steel welding SYSWELD Gkatzogiannis al. 26 Two multi-phase ferritic steel grades -Launert and Pasternak 27 Conventional steel S355 and high strength steel S690 -Danielewski et al 28 Dissimilar low carbon and austenitic steel joint Simulact Welding software Zhao et al 29 T92/S30432 dissimilar welded pipe -Liu et al 30 Dissimilar welding of 316L and low alloy steel SYSWELD Xie et al 31 DP780 steel thin-plate welded joints using Gas Tungsten Arc (GTA) welding and Ultrasonic-wave-assisted Gas Tungsten Pulsed Arc (U-GTPA) welding…”
Section: Reference Materials Softwarementioning
confidence: 99%
“…Huang et al 22 S355JR 2 316L dissimilar metal welding SYSWELD Heinze et al 23 S355J2 + N (ASTM A572 Gr.50) SYSWELD Chukkan et al 24 Stainless steel welding SYSWELD Yang 25 Stainless steel welding SYSWELD Gkatzogiannis al. 26 Two multi-phase ferritic steel grades -Launert and Pasternak 27 Conventional steel S355 and high strength steel S690 -Danielewski et al 28 Dissimilar low carbon and austenitic steel joint Simulact Welding software Zhao et al 29 T92/S30432 dissimilar welded pipe -Liu et al 30 Dissimilar welding of 316L and low alloy steel SYSWELD Xie et al 31 DP780 steel thin-plate welded joints using Gas Tungsten Arc (GTA) welding and Ultrasonic-wave-assisted Gas Tungsten Pulsed Arc (U-GTPA) welding…”
Section: Reference Materials Softwarementioning
confidence: 99%
“…The results of the study confirmed the effectiveness of numerical simulation for predicting the expansion of crack emergence in welded joints. The feasibility of using numerical simulation to optimize the welding parameters and the reliability of the mechanical property analysis of welded joints based on numerical simulation results has been verified in the literature [ 21 , 22 , 23 , 24 , 25 ]. Therefore, based on previous studies, experimental and numerical simulation methods were used in this study for predicting mechanical properties across dissimilar material welded joints.…”
Section: Introductionmentioning
confidence: 96%
“…Lee et al [ 20 ] predicted the temperature field and residual stress state in welded joints of carbon and stainless steels based on the finite element method, and the results showed that the weld residual stresses in dissimilar steel butt welds are different from those in corresponding similar steel butt welds. Huang et al [ 21 ] used SYSWELD software to carry out numerical simulation and experimental verification of the temperature field, HAZ microstructure evolution, residual stress and post-weld deformation of S355JR-316L dissimilar metals. Sauraw et al [ 22 ] achieved the joining of P91 and P22 steels using a gas tungsten arc welding (GTAW) process, and measured the microstructural inhomogeneity and element diffusion across the interface of the welded joint.…”
Section: Introductionmentioning
confidence: 99%