Study of the gaussian distribution heat source model applied to numerical thermal simulations of TIG welding processes

Teixeira, Paulo Roberto; Araújo, Douglas Bezerra de; Cunda, Luiz A. B. da

doi:10.14393/19834071.2014.26140

Cited by 27 publications

(19 citation statements)

References 21 publications

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“…The convection coefficient is 10 W·m −2 ·K −1 , and the emissivity is 0.85. The initial ambient temperature was 20 • C. In the simulation process, the welding seam is divided into several layers, so that the depth of each layer is very small, and the Gaussian heat source can simulate this situation well [34]. So, in the thermal analysis, it is assumed that the heat input of the welding arc meets the Gaussian distribution.…”

Section: Model Establishmentmentioning

confidence: 99%

Study on Residual Stress of Welded Hoop Structure

Zhang

Wang

et al. 2020

Applied Sciences

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Residual stress is inevitable during welding, which will greatly affect the reliability of the structure. The purpose of this paper was to study the residual stress of the hoop structure caused by the cooling shrinkage of the weld when the outer cylinder was wrapped and welded under the condition of the existing inner cylinder. In this paper, the “method of killing activating elements” of ANSYS was used to simulate the three-dimensional finite element of the hoop structure. In the case of applying interlayer friction, the welding-forming process and welding circumferential residual stress of the hoop structure were analyzed. The blind hole method was used to test the residual stress distribution of the hoop structure, and the test results were compared with the finite element simulation results to verify the reliability of the simulation calculation method and the reliability of the calculation results. Then, the influence factors of the maximum welding residual stress of the hoop structure were studied. The results show that the maximum residual stress of the outer plate surface of the hoop structure decreases with the increase of the welding energy, the thickness of the laminate, the width of the weld seam, the welding speed, and the radius of the container. Based on the results of numerical simulation, the ternary first-order equations of the maximum residual stress of the hoop structure with respect to the welding speed, the thickness of the laminate, and the width of the weld seam were established. Then, the optimal welding parameters were obtained by optimizing the equations, which provided an important basis for the safe use and optimal design of the welding hoop structure.

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Section: Model Establishmentmentioning

confidence: 99%

Study on Residual Stress of Welded Hoop Structure

Zhang

Wang

et al. 2020

Applied Sciences

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“…In the model, the heating was taken into account using the second-type boundary condition (Neumann): Superficial heat source [ 10 ]. The power of the heat source

was determined using the equation of effective arc power [ 11 , 12 ]:

…”

Section: Finite Element Simulationmentioning

confidence: 99%

Prediction of the Superficial Heat Source Parameters for TIG Heating Process Using FEM and ANN Modeling

Wróbel

Kulawik

2019

Entropy

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The basic problem of the numerical model’s quenching process is establishing the characteristics of the boundary conditions. The existing descriptions of the boundary conditions, which represent the parameters of equipment used in heat treatment processes, do not accurately reflect the actual process conditions. In the present study, the method of choice for superficial heat source parameters for TIG (tungsten inert gas) heating is modeled using artificial neural networks (ANN) and the finite element method (FEM). A comparison of the calculations obtained from the numerical model of non-steady state heat transfer with the results of the experimental studies is presented. The possibility of using ANN to compute the parameters of the boundary conditions for the heating treatment is analyzed. A multilayer feed-forward backpropagation network is developed and trained using value of temperature in the selected nodes obtained from numerical simulation.

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“…When the distribution along the thickness is not important like in thin plates, the surface Gaussian heat source model is a good proposal for bed-on-plate cases when both TIG and conductive laser welding must be simulated [18]. For the surface laser heat source, the radius (R) should be calculated first by the formula written as [19]:…”

Section: D Heat Sourcementioning

confidence: 99%

FEM Simulation of Dissimilar Aluminum Titanium Fiber Laser Welding Using 2D and 3D Gaussian Heat Sources

D’Ostuni

Leo

Casalino

2017

Metals

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For a dissimilar laser weld, the model of the heat source is a paramount boundary condition for the prediction of the thermal phenomena, which occur during the welding cycle. In this paper, both two-dimensional (2D) and three-dimensional (3D) Gaussian heat sources were studied for the thermal analysis of the fiber laser welding of titanium and aluminum dissimilar butt joint. The models were calibrated comparing the fusion zone of the experiment with that of the numerical model. The actual temperature during the welding cycle was registered by a thermocouple and used for validation of the numerical model. When it came to calculate the fusion zone dimensions in the transversal section, the 2D heat source showed more accurate results. The 3D heat source provided better results for the simulated weld pool and cooling rate.

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Study of the gaussian distribution heat source model applied to numerical thermal simulations of TIG welding processes

Cited by 27 publications

References 21 publications

Study on Residual Stress of Welded Hoop Structure

Study on Residual Stress of Welded Hoop Structure

Prediction of the Superficial Heat Source Parameters for TIG Heating Process Using FEM and ANN Modeling

FEM Simulation of Dissimilar Aluminum Titanium Fiber Laser Welding Using 2D and 3D Gaussian Heat Sources

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