2020
DOI: 10.1016/j.jmapro.2020.06.028
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Factor analysis of deformation in resistance spot welding of complex steel sheets based on reverse engineering technology and direct finite element analysis

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Cited by 13 publications
(5 citation statements)
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“…Zhao, W et al [21] adopted the inherent strain model (ISM), the large heat source model (LHM), and the moving heat source model (MHM) to simulate the welding distortions and residual stresses in a large welded structure of underframe. Liu X et al [22,23] used the nite element method to project the residual stress and deformation during the spot welding of the automobile wall panels, and the simulated were consistent with the experimental results.…”
Section: Introductionmentioning
confidence: 59%
“…Zhao, W et al [21] adopted the inherent strain model (ISM), the large heat source model (LHM), and the moving heat source model (MHM) to simulate the welding distortions and residual stresses in a large welded structure of underframe. Liu X et al [22,23] used the nite element method to project the residual stress and deformation during the spot welding of the automobile wall panels, and the simulated were consistent with the experimental results.…”
Section: Introductionmentioning
confidence: 59%
“…However, there has been no research on how the effect of surface roughness on the strength of mild steel dissimilar joints with stainless steel. The existing literature highlights the influence of material combinations, welding parameters [34], intermetallic compound formation, surface contamination, and HAZ effects on surface roughness.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…In welding TWIP steel, an increase in welding current worsens the LME [17] but reduces the tensile residual stress in the weld [18]. Simulations of welding DX56D steel sheets show that the tensile residual stresses in the resistance spot welds cause warpage deformation in the steel sheets, which affects the assembly of the parts [19].…”
Section: Introductionmentioning
confidence: 99%