A practical approach for simulating submerged arc welding process using FE method

Nart, E.; Çelik, Yüksel

doi:10.1016/j.jcsr.2013.02.005

Cited by 28 publications

(11 citation statements)

References 11 publications

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“…Therefore, some weld bead shapes are difficult to predict, such as the crater-finger in shielded arc welds (Ref. 47). In addition, experiments must be conducted to determine the geometrical parameters of a heat source model.…”

Section: Cfd Modelmentioning

confidence: 99%

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Yang¹

2021

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Residual stresses and distortions are the result of complex interactions between welding heat input, the material’s high-temperature response, and joint constraint conditions. Both weld residual stress and distortion can significantly impair the performance and reliability of welded structures. In the past two decades, there have been many significant and exciting developments in the prediction and mitigation of weld residual stress and distortion. This paper reviews the recent advances in the prediction of weld residual stress and distortion by focusing on the numerical modeling theory and methods. The prediction methods covered in this paper include a thermo-mechanical-metallurgical method, simplified analysis methods, friction stir welding modeling methods, buckling distortion prediction methods, a welding cloud computational method, integrated manufacturing process modeling, and integrated computational materials engineering (ICME) weld modeling. Remaining challenges and new developments are also discussed to guide future predictions of weld residual stress and distortion.

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Section: Cfd Modelmentioning

confidence: 99%

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Yang¹

2021

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“…From Rosenthal [10] until Goldak et al [11], different types of heat sources in motion have been proposed, which depend on their physical nature and can be modeled as punctual, linear, superficial, and volumetric. The double ellipsoidal, three-dimensional heat source in movement was introduced first by Goldak et al [12] and, based on its versatility, is mainly considered for modeling welding processes such as FCAW, SAW, and GMAW [13][14][15][16][17][18] and with hybrid welding processes [19]. Nguyen et al [20] have proposed an analytical solution in closed form using Green's function to obtain the temperature field induced by a heat source distributed through a double ellipsoidal volume and showed [21] that the model could be used to predict weld bead geometry and residual stress.…”

Section: Introductionmentioning

confidence: 99%

Experimental-based methodology for the double ellipsoidal heat source parameters in welding simulations

Chujutalli

Lourenço

Estefen

2020

Mar Syst Ocean Technol

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The welding numerical simulation involves thermal and mechanical analyses and metallurgical consideration. The thermal analysis determines the transient temperature distribution on the welded part, and its accuracy is relevant for the following analyses on structural integrity, in particular buckling and fatigue failure modes of steel-plated structures. The temperature distribution is strongly influenced by the size and shape of the heat source, which can be represented as a double ellipsoid and defined by Goldak's parameters. The main difficulty is that the adjustment of these parameters to obtain a suitable temperature distribution is usually determined by trial and error. In this paper, a parametric study is performed to analyze the influence of Goldak's parameters on the weld bead size for 2D and 3D numerical welding simulations. A method to estimate the parameters of a double ellipsoidal heat source in motion is proposed. An algorithm has been implemented based on the combination of analytical formulation, experimental data, and numerical simulation. As an analytical formulation, the Fachinotti's solution is used to determine the isotherms. The weld bead dimensions are defined from the melting temperature isotherm of the material. Experimental data, such as the welding process parameters and the weld bead dimensions are input to the algorithm. Numerical simulations of the welding process have been developed to calibrate and validate the method. The numerical simulation results from the obtained Goldak's parameters by the proposed method are correlated with the experimental results of fillet-welded specimens.

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“…The welding pool is the most important and the most complicated position during the welding, which involves the combined action of electric, thermal, magnetics and fluid. At present, due to the limitation of experimental conditions, for example, the extreme high luminance of the arc that might "mask" the behavior of the weld pool, it is very difficult to observe the welding pool through the experimental means, and the welding pool has been quantitatively studied through the numerical simulation technology by more and more welding researchers [5,6]. ANSYS (a finite element analytical software) is the sole software to enable the multiple fields and the multi-field coupling analysis, and thus enjoys a leading position in the finite element analytical software [7].…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the temperature field of cold metal transfer welding pool

Wu¹,

He²,

Zhang³

et al. 2016

mech

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A practical approach for simulating submerged arc welding process using FE method

Cited by 28 publications

References 11 publications

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Experimental-based methodology for the double ellipsoidal heat source parameters in welding simulations

Numerical simulation of the temperature field of cold metal transfer welding pool

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