2019
DOI: 10.1088/1757-899x/530/1/012016
|View full text |Cite
|
Sign up to set email alerts
|

Thermo-Mechanical Simulation of Temperature Distribution and Prediction of Heat-Affected Zone Size in MIG Welding Process on Aluminium Alloy EN AW 6082-T6

Abstract: Welding process is considered as a thermal-mechanical-metallurgical coupled problem. In this study, finite element method (FEM) is adopted for predicting the temperature history in Metal Inert Gas (MIG) welding of 5mm thick aluminium 6082 alloy. The Goldak’s double ellipsoidal moving heat source model was used to analyse the influence of peak temperature to the radial distance from the center of the heat source and the thickness of the plate. Temperature-dependent thermal properties of aluminium alloy 6082 in … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 13 publications
(5 citation statements)
references
References 11 publications
0
5
0
Order By: Relevance
“…where T is the temperature, ρ, С, and k are density, thermal capacity, and thermal conductivity factor respectively, u is the printing speed. Q G is the power distribution given by the moving Goldak's double-ellipsoid heat source model as shown in Figure 4 [17], this heat source model from the welding process, however, it is also suitable for research on the SLM process. Q G is the total of the absorbed laser in front and rear of the Goldak heat source model [18].…”
Section: B Simulation and Experiments 1) Simulation Resultsmentioning
confidence: 99%
“…where T is the temperature, ρ, С, and k are density, thermal capacity, and thermal conductivity factor respectively, u is the printing speed. Q G is the power distribution given by the moving Goldak's double-ellipsoid heat source model as shown in Figure 4 [17], this heat source model from the welding process, however, it is also suitable for research on the SLM process. Q G is the total of the absorbed laser in front and rear of the Goldak heat source model [18].…”
Section: B Simulation and Experiments 1) Simulation Resultsmentioning
confidence: 99%
“…By simulating material flow, solidification patterns, cooling rates, and process parameters, engineers can predict the occurrence and severity of defects. This information enables the development of effective mitigation strategies, including optimizing gating and riser design in casting, selecting appropriate welding parameters, or adjusting process conditions to reduce defect formation and enhance component quality [58]. Optimization of process parameters involves leveraging computational modeling and simulation to evaluate the impact of different parameters such as temperature, pressure, feed rate, cooling rate, or alloy composition on final product quality.…”
Section: Predictive Design and Analysismentioning
confidence: 99%
“…Q G is the power distribution given by the moving Goldak's doubleellipsoid heat source model as shown in Fig. 5 [29], this heat source model from the welding process, however, it is also suitable for research on the SLM process [30].…”
Section: Calculation Of the Required Heat Sourcementioning
confidence: 99%