Analysis of submerged arc welding process by three-dimensional computational fluid dynamics simulations

Cho, Dae-Won; Song, Woo-Hyun; Cho, Min-Hyun; Na, Suck-Joo

doi:10.1016/j.jmatprotec.2013.06.017

Cited by 84 publications

(42 citation statements)

References 19 publications

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“…3 kg m − . The thermal conductivity and specific heat for individual phases reported in the literature depend of the authors, although follows similar trends [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][24][25][26][27][28][29][30][31][32][33] . The reason for such lack is due to the possibility of different features of the phases formed depending on the thermal history.…”

Section: Thermophysical Propertiesmentioning

confidence: 71%

“…These shortcomings are usually overcame by adjusting the heat source parameters, shown in Table 2, which is dominant for the high temperature region (above 750 o C), meanwhile, the radiation cooling effects for low temperature (below 200 o C ) are negligible compared with the convection contribution. Therefore, this approach has been widely used in welding simulation [28][29][30][31] . …”

Section: Initial and Boundary Thermal Conditionsmentioning

confidence: 99%

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Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

et al. 2016

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A phenomenological model to predict the multiphase diffusional decomposition of the austenite in low-alloy hypoeutectoid steels was adapted for welding conditions. The kinetics of phase transformations coupled with the heat transfer phenomena was numerically implemented using the Finite Volume Method (FVM) in a computational code. The model was applied to simulate the welding of a commercial type of low-alloy hypoeutectoid steel, making it possible to track the phase formations and to predict the volume fractions of ferrite, pearlite and bainite at the heat-affected zone (HAZ). The volume fraction of martensite was calculated using a novel kinetic model based on the optimization of the well-known Koistinen-Marburger model. Results were confronted with the predictions provided by the continuous cooling transformation (CCT) diagram for the investigated steel, allowing the use of the proposed methodology for the microstructure and hardness predictions at the HAZ of low-alloy hypoeutectoid steels.

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Section: Thermophysical Propertiesmentioning

confidence: 71%

Section: Initial and Boundary Thermal Conditionsmentioning

confidence: 99%

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

et al. 2016

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“…Similarly, many researchers calculated arc models by using a CCD camera and Abel inversion for various CFD welding cases. The Abel inversion method with a high speed camera brings many advantages to describe alternating current (AC) welding process where the size of the arc and signals (current and voltage) are different along time [12,13]. Cho et al [12] captured various arc images which escaped from the flux within a very short time, and then made the transient arc models for the single electrode submerged arc welding (SAW) process.…”

Section: Introductionmentioning

confidence: 99%

Molten pool behaviors for second pass V-groove GMAW

Cho

2015

International Journal of Heat and Mass Transfer

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“…Mahiskar et al (2014), Nart and Celik (2013) developed 3-D finite element models to perform coupled thermo-mechanical analysis and successfully predicted the weld bead geometry. Cho et al (2013; studied the molten pool behavior in the tandem submerged arc welding process using computational fluid dynamics. To minimize the resultant variations in currents and resultant welds, Lu et al (2014a;2014b) modeled the double electrode submerged arc welding process and a multivariable predictive control algorithm was developed to control the process variables at desired levels.…”

Section: Introductionmentioning

confidence: 99%

Influence of tacking sequence on residual stress and distortion of single sided fillet submerged arc welded joint

Mondal

Biswas

Bag

2015

J. Marine. Sci. Appl.

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Submerged arc welding (SAW) is advantageous for joining high thickness materials in large structure due to high material deposition rate. The non-uniform heating and cooling generates the thermal stresses and subsequently the residual stresses and distortion. The longitudinal and transverse residual stresses and angular distortion are generally measured in large panel structure of submerged arc welded fillet joints. Hence, the objective of this present work is to quantify the amount of residual stress and distortion in and around the weld joint due to positioning of stiffeners tack. The tacking sequence influences the level of residual stress and proper controlling of tacking sequences is required to minimize the stress. In present study, an elasto-plastic material behavior is considered to develop the thermo mechanical model which predicts the residual stress and angular distortion with varying tacking sequences. The simulated result reveals that the tacking sequence heavily influences the residual stress and deformation pattern of the single sided fillet joint. The finite element based numerical model is calibrated by comparing the experimental data from published literature. Henceforth, the angular distortions are measured from an in-house developed experimental set-up. A fair agreement between the predicted and experimental results indicates the robustness of the developed numerical model. However, the most significant conclusion from present study states that tack weld position should be placed opposite to the fillet weld side to minimize the residual stress.

show abstract

Analysis of submerged arc welding process by three-dimensional computational fluid dynamics simulations

Cited by 84 publications

References 19 publications

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

Molten pool behaviors for second pass V-groove GMAW

Influence of tacking sequence on residual stress and distortion of single sided fillet submerged arc welded joint

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