ArticleMaterials (Basel, Switzerland)2022
RETRACTED: Investigation of the Effects of Tool Positioning Factors on Peak Temperature in Dissimilar Friction Stir Welding of AA6061-T6 and AA7075-T6 Aluminum Alloys.
Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- RETRACTED: Articles from the Special Issue "Effect of Hot Manufacturing Methods on Material Processing by Finite Element Modelling".Materials (Basel, Switzerland) · 2026Article
- Simulation of Friction Stir Welding of AZ31 Mg Alloys.Materials (Basel, Switzerland) · 2024Article
- A Review on Friction Stir Welding/Processing: Numerical Modeling.Materials (Basel, Switzerland) · 2023Review
- Effects of Partial-Contact Tool Tilt Angle on Friction Stir Welded AA1050 Aluminum Joint Properties.Materials (Basel, Switzerland) · 2023Article
- Material Defects in Friction Stir Welding through Thermo-Mechanical Simulation: Dissimilar Materials with Tool Wear Consideration.Materials (Basel, Switzerland) · 2022Article
Corrections and comments
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Among the emerging new welding techniques, friction stir welding (FSW) is used frequently for welding high-strength aluminum alloys that are difficult to weld by conventional fusion-welding techniques. This paper investigated the effects of tool-positioning factors on the maximum temperature generated in the dissimilar FSW joint of AA6061-T6 and AA7075-T6 aluminum alloys. Three factors of plunge depth, tool offset, and tilt angle were used as the input parameters. Numerical simulation of the FSW process was performed in ABAQUS software using the coupled Eulerian-Lagrangian (CEL) approach. Central composite design (CCD) based on response surface methodology (RSM) was used to analyze and design the experiments. Comparison of the numerical and experimental results showed that numerical simulations were in good agreement with the experimental ones. Based on the statistical model results, plunge depth, tilt angle, and tool offset were the most significant factors on maximum process temperature, respectively. It was found that increasing the plunge depth caused a sharp increase in the maximum process temperature due to increased contact surfaces and the frictional interaction between the tool and workpiece.
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