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Friction Stir Welding of AA 6083: An Integrated Engineering Study

AUTHOR Parasuraman, Karthikeyan
PUBLISHER LAP Lambert Academic Publishing (06/05/2025)
PRODUCT TYPE Paperback (Paperback)

Description
This study validates the load-bearing capacity of a retrofitted FSW tool used on a vertical milling machine for welding AA 6083 alloy in micro-industry settings. Axial and lateral forces on the tool were estimated through manual calculations and verified using finite element analysis (FEA) in ANSYS 11. The simulation assessed stress distribution and deformation, ensuring the tool design withstands operational loads. A load cell was integrated into the retrofit assembly to capture real-time welding forces, which were compared with FEA results for validation. The close agreement between simulated and experimental data confirmed tool reliability and the mechanical feasibility of the retrofitted system. This approach demonstrates a cost-effective solution for FSW implementation in small-scale industries.
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Product Details
ISBN-13: 9786208449582
ISBN-10: 6208449588
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 60
Carton Quantity: 118
Product Dimensions: 6.00 x 0.14 x 9.00 inches
Weight: 0.21 pound(s)
Country of Origin: US
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BISAC Categories
Technology & Engineering | Engineering (General)
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This study validates the load-bearing capacity of a retrofitted FSW tool used on a vertical milling machine for welding AA 6083 alloy in micro-industry settings. Axial and lateral forces on the tool were estimated through manual calculations and verified using finite element analysis (FEA) in ANSYS 11. The simulation assessed stress distribution and deformation, ensuring the tool design withstands operational loads. A load cell was integrated into the retrofit assembly to capture real-time welding forces, which were compared with FEA results for validation. The close agreement between simulated and experimental data confirmed tool reliability and the mechanical feasibility of the retrofitted system. This approach demonstrates a cost-effective solution for FSW implementation in small-scale industries.
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