Volume 36, Issue 2 (3-2018)
2018, 36(2): 101-117 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sadeghian B, Ataapour M, Taherizadeh A. Thermal Simulation of Friction Stir Welding in 304 Stainless Steel to 5083 Aluminum Dissimilar Joint
. Computational Methods in Engineering 2018; 36 (2) :101-117
URL: http://jcme.iut.ac.ir/article-1-722-en.html
URL: http://jcme.iut.ac.ir/article-1-722-en.html
Thermal Simulation of Friction Stir Welding in 304 Stainless Steel to 5083 Aluminum Dissimilar Joint
1- Department of Materials Engineering, Isfahan University of Technology, Isfahan, Iran. , b.sadeghian@ma.iut.ac.ir
2- Department of Materials Engineering, Isfahan University of Technology, Isfahan, Iran.
2- Department of Materials Engineering, Isfahan University of Technology, Isfahan, Iran.
Abstract: (5102 Views)
Friction stir welding is of the most applicable methods to join dissimilar metals. In this study, the thermal distribution during the joining of 304 stainless steel and 5083 aluminum alloy by friction stir welding method was simulated by the finite element method. Both, transient and stationary thermal solutions were used in the simulations and the two methods were compared correspondingly. To verify the model, two sheets of stainless steel and aluminum were prepared and the friction stir welding was applied. Additionally, by using thermocouples temperature, the history of points on the sheets was obtained during welding. Then, the simulation and the experimental results were compared to validate the model. Finally, an artificial neural network model was created and the effect of different input parameters on the maximum temperature under the tool was investigated.
Keywords: Friction stir welding, Finite element method, Dissimilar joint, Transient solution, Stationary solution, Artificial neural network.
Type of Study: Research |
Subject:
Special
Received: 2018/02/28 | Accepted: 2018/02/28 | Published: 2018/02/28
Received: 2018/02/28 | Accepted: 2018/02/28 | Published: 2018/02/28
Send email to the article author
