2017
DOI: 10.1088/1742-6596/843/1/012001
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The prediction of residual stress and its influence on the mechanical properties of weld joint

Abstract: Abstract.A three-dimensional metallo-thermo-mechanical analysis of bead on plate welding is performed in this work. This coupled model enables to capture the microstructural development and temperature history at local region. As a result, the residual stress is evaluated based on the temperature-dependent mechanical properties computed by the mixture of individual phase. Isotropic hardening is assumed in the finite element (FE) analysis. At the same time, the distribution of residual stress is also predicted … Show more

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Cited by 3 publications
(2 citation statements)
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“…However, the welding process generates residual stresses and defects such as porosity and incomplete penetration, which are prone to produce macroscopic crack under fatigue or impact loading [ 2 , 3 ]. Therefore, it is important to reveal the fatigue failure mechanism of dissimilar light metal welded joints including initial defects under complex loadings [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, the welding process generates residual stresses and defects such as porosity and incomplete penetration, which are prone to produce macroscopic crack under fatigue or impact loading [ 2 , 3 ]. Therefore, it is important to reveal the fatigue failure mechanism of dissimilar light metal welded joints including initial defects under complex loadings [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…It mostly includes coupled thermal, metallurgical, and mechanical analysis [1][2][3][4][5][6]. In modeling and numerical simulation, the influence of the laser beam on the material during the fusion welding process can be defined by means of different heat source models [7][8][9][10][11][12][13][14]. Understanding thermal phenomena and the heat transfer during the welding process is crucial for the analysis of microstructure, mechanical properties, and a quality of the weld joints [15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%