An efficient computational approach for heat source optimization in numerical simulations of arc welding processes

Farias, Rodrigo Martins; Teixeira, Paulo R.F.; Vilarinho, Louriel Oliveira

doi:10.1016/j.jcsr.2020.106382

Cited by 37 publications

(16 citation statements)

References 34 publications

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“…An alternate view is to fit the efficiency value via an experimental investigation. Farias et al [60] conducted a study where both butt joint and lap joint welds for AISI 1020 carbon steel and AISI 304 stainless steel were performed experimentally with thermocouples embedded into the work pieces. The temperature evolution and weld cross section were then used to find a set of parameters for both the efficiency and the other Goldak heat source parameters in equation 2.1 that resulted in the closest match between simulation and experiment for a FEM simulation using a Goldak-type heat source.…”

Section: Efficiency Valuementioning

confidence: 99%

“…Using the standard assumption for Goldak-type heat sources [43,60,61] of the paraboloids accounting for 95% of the heat input, ABD are estimated in [55] through taking 95% of the heat source. Thus for the x-direction taking q as 5% of its maximum to be at x = a, mathematically equivalent to q(a, 0, 0) = 0.05q(0, 0, 0), results in 0.05q(0) = q(0)e −Aa 2 (4.39)…”

Section: Derivationmentioning

confidence: 99%

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Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing

Yeadon¹

2022

Preprint

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Section: Efficiency Valuementioning

confidence: 99%

Section: Derivationmentioning

confidence: 99%

Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing

Yeadon¹

2022

Preprint

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“…1,6,9 Numerical simulation methods have been employed by different research groups to predict GMAW thermal field, weld zone profile. 1,[9][10][11] For numerical analysis of the weld profile heat source models such as Gaussian, double ellipsoidal, conical, and equivalent heat sources have been used successfully. 1,10,12 The analytical type of model is suitable for electron beam and laser welding processes.…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis and experimental investigation of moving heat source model for GMAW deposited mild steel weld bead

Aslam

Sahoo

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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An investigation has been done to identify the heat source model suitable for numerical modeling of the Gas Metal arc Welding (GMAW) welding process. In the present investigation, a numerical model was constructed to simulate the GMAW welding process through transient thermal analysis for different thermal heat source models for weld deposition of Mild steel considering semi-cylindrical weld bead geometry. The Gaussian heat source with radial coordinate system and double ellipsoidal thermal heat source have been considered to develop a Finite Element Analysis (FEA) model. Validation of numerical analysis results has been confirmed through experimental investigation. Numerical modeling confirms the utilization of both heat sources, i.e. Gaussian and Double ellipsoidal for the prediction of the weld bead deposition profile. However, the numerical modeling developed using a double ellipsoidal heat source has more resembles experimental investigation due to the utilization of bead profile data. However, the Gaussian heat source is found to be suitable in the case of the unavailability of experimental data. The experimental studies show a variation in the weld bead geometry, along its welding direction due to multiple environmental factors. The microstructural investigation also shows the development of a fine columnar grain structure at the welding bead & weld penetration zone, and the grain structure became coarser at the Heat Affected Zone (HAZ).

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“…For reliable output results of the simulation model, it is necessary to determine the exact values of these input parameters. In the case of individual simulations, we can achieve this goal, minimizing the error between the simulation and experimental results by combining the simulation model with some multivariable optimization algorithm [12][13][14][15][16][17][18]. The complexity of the problem arises when it is necessary to determine the optimal values of these parameters for several different simulations [19].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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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An efficient computational approach for heat source optimization in numerical simulations of arc welding processes

Cited by 37 publications

References 34 publications

Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing

Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing

Finite element analysis and experimental investigation of moving heat source model for GMAW deposited mild steel weld bead

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

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