Heat and fluid flow in complex joints during gas metal arc welding—Part I: Numerical model of fillet welding

2004 ◽  
Vol 95 (9) ◽  
pp. 5210-5219 ◽  
Author(s):  
W. Zhang ◽  
C.-H. Kim ◽  
T. DebRoy
Keyword(s):  
Fluid Flow ◽  
Numerical Model ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Fillet Welding ◽  
Metal Arc Welding ◽  
Welding Part ◽  
Heat And Fluid Flow

Investigation on arc light intensity in gas metal arc welding. Part 1: Relationship between arc light intensity and arc length

1997 ◽  
Vol 211 (5) ◽  
pp. 345-353 ◽  
Author(s):  
C D Yoo ◽  
Y S Yoo ◽  
H-K Sunwoo
Keyword(s):  
Light Intensity ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Current ◽  
Arc Length ◽  
Metal Arc Welding ◽  
Proposed Model ◽  
Welding Part ◽  
The Relationship ◽  
Good Agreement

The arc length has been detected through the arc because the welding current and voltage vary linearly with the arc length. In this work, the relationship between the arc light intensity and arc length is investigated through analytic modelling. The arc light intensity is derived as a function of the arc length and welding current using the heat balance in the plasma. Experiments are carried out to verify the proposed model and to find out the effects of welding conditions on the arc light intensity in gas metal arc welding (GMAW). The arc light intensity varies proportionally to the arc length and signal quality is enhanced with a fast weaving speed. The predicted results of the arc light intensity show reasonably good agreement with the experimental data.

scholarly journals The Effect of Groove Shape on Molten Metal Flow Behaviour in Gas Metal Arc Welding

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7444
Author(s):  
Amin Ebrahimi ◽  
Aravind Babu ◽  
Chris R. Kleijn ◽  
Marcel J. M. Hermans ◽  
Ian M. Richardson
Keyword(s):  
Fluid Flow ◽  
Computational Model ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Metal Flow ◽  
Groove Shape ◽  
Melt Pool ◽  
Numerical Predictions ◽  
Metal Arc Welding ◽  
Welding Processes

One of the challenges for development, qualification and optimisation of arc welding processes lies in characterising the complex melt-pool behaviour which exhibits highly non-linear responses to variations of process parameters. The present work presents a computational model to describe the melt-pool behaviour in root-pass gas metal arc welding (GMAW). Three-dimensional numerical simulations have been performed using an enhanced physics-based computational model to unravel the effect of groove shape on complex unsteady heat and fluid flow in GMAW. The influence of surface deformations on the magnitude and distribution of the heat input and the forces applied to the molten material were taken into account. Utilising this model, the complex thermal and fluid flow fields in melt pools were visualised and described for different groove shapes. Additionally, experiments were performed to validate the numerical predictions and the robustness of the present computational model is demonstrated. The model can be used to explore the physical effects of governing fluid flow and melt-pool stability during gas metal arc root welding.

scholarly journals Multi-objective calibration of the double-ellipsoid heat source model for GMAW process simulation

2021 ◽  
pp. 181-181
Author(s):  
Miso Bjelic ◽  
Branko Radicevic ◽  
Karel Kovanda ◽  
Ladislav Kolařík ◽  
Aleksandra Petrovic
Keyword(s):  
Numerical Model ◽  
Heat Source ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Calibration Procedure ◽  
Source Model ◽  
Objective Functions ◽  
Heat Source Model ◽  
Metal Arc Welding ◽  
Input Parameters

The scope of application of simulation models in welding is limited by the accuracy of their output results. This paper presents a calibration procedure for a three-dimensional quasi-stationary model of heat transfer for gas metal arc welding. The double-ellipsoid heat source used in this model has five input parameters whose value cannot be specified accurately. To estimate these values, we employed a multi-objective calibration procedure with two objective functions using the paretosearch optimization algorithm. Objective functions represented the error between simulated and experimentally observed values of penetration depth and weld bead width during gas metal arc welding of P355GH steel plates. All input parameters were assumed to be a power function of line energy. To reduce computational time, we replaced the numerical model with a response surface methodology metamodel based on an optimal set of simulation results from the numerical model. The results of the simulations based on calculated values of input parameters for the heat source model showed excellent matching with the experimental results.

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