Numerical Simulation of Temperature Field and Residual Stresses in Stainless Steel T-Joint

Chen, Quan; Fan, Fu‐Ren F.; Yu, Shidi; Liu, Chunjing; Tang, Jiahui; Xu, Yang

doi:10.1007/s12666-020-01890-3

Cited by 10 publications

(2 citation statements)

References 16 publications

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“…Welding has many advantages over the other joining processes with few limitations that affect the productivity of this joining process. These limitations are welding defects caused by welding thermal cycles during welding (Da Nóbrega et al , 2016; Chen et al , 2020). Welding thermal cycles significantly affect joint strength, induces residual stresses and alters microstructures of welded joints due to high peak temperatures and localized heating (Chen et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

“…These limitations are welding defects caused by welding thermal cycles during welding (Da Nóbrega et al , 2016; Chen et al , 2020). Welding thermal cycles significantly affect joint strength, induces residual stresses and alters microstructures of welded joints due to high peak temperatures and localized heating (Chen et al , 2020). In previous studies, several attempts have been made to measure the distribution of peak temperatures across the weld joints at predetermined locations.…”

Section: Introductionmentioning

confidence: 99%

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Experimental, analytical and numerical, investigation of peak temperature and cooling rate in butt joint weld of mild steel

Singh

Meena

Arora

et al. 2021

WJE

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Purpose This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental measurement of peak temperatures, K-type thermocouples coupled with a data acquisition system were used at predetermined locations. Thereafter, Rosenthal’s analytical models for thin two-dimensional (2D) and thick three-dimensional (3D) plates were adopted to predict peak temperatures for different thermocouple positions. A finite element model (FEM) based on an advanced prescribed temperature approach was adopted to predict time-temperature history for predetermined locations of thermocouples. Design/methodology/approach Comparing experimental and Rosenthal analytical models (2D and 3D) findings show that predicted and measured peak temperatures are in close agreement, while cooling rates predicted by analytical models (2D, 3D) show significant variation from measured values. On the other hand, 3D FEM simulation predicted peak temperatures and cooling rates for different thermocouple positions are close to experimental findings. Findings The inclusion of filler metal during simulation of welding rightly replicates the real welding situation and improves outcomes of the analysis. Originality/value The present study is an original contribution to the field of welding technology.

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Section: Introductionmentioning

confidence: 99%