Estimation of heat flux parameters during static gas tungsten arc welding spot under argon shielding

Unnikrishnakurup, Sreedhar; Rouquette, Sébastien; Soulié, Fabien; Fras, Gilles

doi:10.1016/j.ijthermalsci.2016.12.008

Cited by 21 publications

(5 citation statements)

References 15 publications

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“…where the maximum arc shear stress τ max [56,57], the arc shear stress distribution function g τ [58] and the surface unit tangent vector t [55] were defined as follows:…”

Section: Model Formulationmentioning

confidence: 99%

The effects of process parameters on melt-pool oscillatory behaviour in gas tungsten arc welding

Ebrahimi

Kleijn

Hermans

et al. 2021

J. Phys. D: Appl. Phys.

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Internal flow behaviour and melt-pool surface oscillations during arc welding are complex and not yet fully understood. In the present work, high-fidelity numerical simulations are employed to describe the effects of welding position, sulphur concentration (60-300 ppm) and travel speed (1.25-5 mm s −1 ) on molten metal flow dynamics in fully-penetrated melt-pools. A wavelet transform is implemented to obtain time-resolved frequency spectra of the oscillation signals, which overcomes the shortcomings of the Fourier transform in rendering time resolution of the frequency spectra. Comparing the results of the present numerical calculations with available analytical and experimental datasets, the robustness of the proposed approach in predicting melt-pool oscillations is demonstrated. The results reveal that changes in the surface morphology of the pool resulting from a change in welding position alter the spatial distribution of arc forces and power-density applied to the molten material, and in turn affect flow patterns in the pool. Under similar welding conditions, changing the sulphur concentration affects the Marangoni flow pattern, and increasing the travel speed decreases the size of the pool and increases the offset between top and bottom melt-pool surfaces, affecting the flow structures (vortex formation) on the surface. Variations in the internal flow pattern affect the evolution of melt-pool shape and its surface oscillations.

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“…where the maximum arc shear stress τ max [56,57], the arc shear stress distribution function g τ [58] and the surface unit tangent vector t [55] were defined as follows:…”

Section: Model Formulationmentioning

confidence: 99%

The effects of process parameters on melt-pool oscillatory behaviour in gas tungsten arc welding

Ebrahimi

Kleijn

Hermans

et al. 2021

J. Phys. D: Appl. Phys.

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show abstract

“…The arc plasma shear stress

, which acts at a tangent to the surface, is defined as follows [ 38 ]:

where, the maximum arc shear stress

[ 39 , 40 ], the arc shear stress distribution function

[ 41 ] and the surface unit tangent vector

[ 38 ] were defined as follows:

…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2021

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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.

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“…where, the maximum arc shear stress τ max [34,35], the arc shear stress distribution function g τ [36] and the surface unit tangent vector t [33] were defined as follows:…”

Section: Mathematical Modelmentioning

confidence: 99%

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

Ebrahimi,

Babu,

Kleijn

et al. 2022

Preprint

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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 simulation-based approach 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 power-density distribution and the forces applied to the molten material were taken into account. Utilising this model, the complex heat and fluid flow in melt pools was 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 physical effects of governing fluid flow and melt-pool stability during gas metal arc root welding.

show abstract

Estimation of heat flux parameters during static gas tungsten arc welding spot under argon shielding

Cited by 21 publications

References 15 publications

The effects of process parameters on melt-pool oscillatory behaviour in gas tungsten arc welding

The effects of process parameters on melt-pool oscillatory behaviour in gas tungsten arc welding

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

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

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