3D finite element simulation of TIG weld pool

Kong, X; Asserin, Olivier; Gounand, Stéphane; Gilles, P.; Bergheau, Jean‐Michel; Médale, Marc

doi:10.1088/1757-899x/33/1/012025

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…Despite thermal gradients and growth rates are much higher, the occurring physical phenomena are the same as in continuous casting, with a much more complicated interaction of aspects including: remelting, vaporization, dissolution of gases, moving free surfaces, etc. [46][47]. The microstructure is strictly determined by heat and fluid flow in the liquid pool, pool shape and convective flows.…”

Section: Management Of Liquid Steel Fluid-dynamicsmentioning

confidence: 99%

The Formation of the Solidification Microstructure from Liquid Metal in Industrial Processes

Ridolfi

2017

MSF

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This paper focuses on the role played by the liquid metal management on the solidification microstructure in industrial solidification processes. In particular attention is paid to the elimination of solidification defects by governing the microstructure evolution through fluid-dynamics and heat and mass transport in the liquid. The formation of hot tearing and gas porosities as well as columnar and equiaxed microstructures and micro and macro segregation are analyzed to explain how the liquid management is used to avoid defects. Examples on continuous casting and welding are also included.A very powerful tool for dealing with the complex phenomena associated with the solidification process is numerical modeling. Its increasingly growing use contemplates fluid-dynamics of the liquid phase, mass transport of solutes and solid-liquid interface evolution. Models using phase field and volume-averaging techniques, as well as models integrating multi-physics and multi-scale phenomena, are described as their use is taking on increasing importance in the design of solidification processes.

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Section: Management Of Liquid Steel Fluid-dynamicsmentioning

confidence: 99%

The Formation of the Solidification Microstructure from Liquid Metal in Industrial Processes

Ridolfi

2017

MSF

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“…Since then, the numerical simulation of fluid flow and heat transfer in the molten pool has received widespread attention. Kong et al [4] calculated the flow field and temperature field of TIG weld pool considering the free surface, but the free surface deformation is obtained by calculating the minimum surface energy of the pool. Ushio et al [5] developed a numerical model for the weld pool based on heat conduction, but the free surface deformation is not considered.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of arc driving forces and temperature distribution in pulsed TIG welding

Guo

Wei

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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In order to study the influence of each driving force on the flow of molten pool and its influence degree, separate action models for the arc driving forces were established based on the finite difference method. It is found that the descending order of the driving force influence is surface tension, arc pressure, Lorentz force, drag force and buoyancy when the current is a constant value of 200 A. Based on the calculation of arc driving forces, a transient three-dimensional model of the pulsed TIG welding is established. The alternation of peak current and base current leads to periodic oscillation of molten pool surface and the formation of welding ripples. The results show that the distance between adjacent welding ripples is almost directly proportional to the scanning speed and the molten pool depth decreases with increasing speed and the decreasing speed gradually decreases. By studying the distribution of pressure field and temperature field, it is found that the pressure distribution of a semi-arc column is basically a half-Gaussian distribution and the heat accumulation has a significant effect on the maximum temperature of the substrate.

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“…Kanemaru et al [3] reported a TIG-MIG (metal inert gas) hybrid welding process simulation using the SIMPLER (semi-implicit method for pressure linked equations revised) method to calculate the temperature, velocity, electric potential, and current flow distributions. Kong et al [4] reported a GTAW process simulation using the FEM (finite element method) including effects of surface tension gradient, buoyancy force, arc pressure, and arc drag force to drive the fluid flow. Sreeraj et al [5] reported a GMAW (gas metal arc welding) process simulation using the simulated annealing algorithm.…”

Section: Introduction mentioning

confidence: 99%

Effect of Initial Geometry on Surface Flatness after Arc Welding Analyzed with MPS Method

Hirasawa¹,

Toda²,

Kawanami³

et al. 2015

JMEA

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The flow behavior in a typical arc welding process is very complex and features rapid melting and solidification. In this work, the flow in the melted region was determined by the effect of surface tension, viscosity, and gravity. Two-dimensional change of the geometry of the melted region was analyzed using the MPS (moving particle semi-implicit) method to melt a small upper plate in a hole at the center of a base plate. The relation between the initial geometry of the upper plate and the surface flatness after welding was calculated. The calculation results showed that the upper plate with a triangular notch at its center minimized the surface unevenness after welding. The depth of notch and thickness of the upper plate were optimized.

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3D finite element simulation of TIG weld pool

Cited by 9 publications

References 9 publications

The Formation of the Solidification Microstructure from Liquid Metal in Industrial Processes

The Formation of the Solidification Microstructure from Liquid Metal in Industrial Processes

Numerical analysis of arc driving forces and temperature distribution in pulsed TIG welding

Effect of Initial Geometry on Surface Flatness after Arc Welding Analyzed with MPS Method

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