Assessment of predicting temperature distribution of friction stir welded AA6061 induced by pin profiles for developing sustainable industry

Nowadays, the aspects of energy and environmental pollution have been becoming a big challenge in developing sustainable industries. Using green technology is considered as priority solution for any manufacturing process. Friction stir welding (FSW) is invented as green technology applied widely in...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2023-12, Vol.1278 (1), p.12025
Main Authors: Tien Dat, Tra Ngoc, Duong, Hao Dinh, Hoa, Vu Cong, Tran, Tra Hung
Format: Article
Language:English
Subjects:
Aluminum base alloys
Clean technology
Finite element method
Friction
Friction stir welding
green manufacturing
Heat affected zone
Heat generation
Industrial development
Manufacturing industry
Mathematical models
Model accuracy
Numerical models
pin profile
sustainable industry
Temperature distribution
welding temperature
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Summary:Nowadays, the aspects of energy and environmental pollution have been becoming a big challenge in developing sustainable industries. Using green technology is considered as priority solution for any manufacturing process. Friction stir welding (FSW) is invented as green technology applied widely in many field industries. To evaluate its applicability, this study focused on the prediction of temperature distribution of FSWed AA6061 induced by various pin profiles. Research efforts are being made to gain a better understanding of FSW process, to explore different tool configurations, and their influence on the heat generation. The numerical model was developed in Abaqus software, utilizing the coupled Eulerian Lagrangian method, the Johnson-Cook material model, and the mass scaling technique. The model’s accuracy is verified by comparing its simulated temperature values with experimental data in Stir zone (SZ) and Heat-affected zone (HAZ). The numerical results show the high correlation with the experimental study, with the deviation around 10%. It is shown that tool pin profiles with the combination of thread and flat features generated the highest temperature.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1278/1/012025