International Journal of Mechanical and Production Engineering (IJMPE)
.
current issues
Volume-8,Issue-9  ( Sep, 2020 )
Past issues
  1. Volume-8,Issue-8  ( Aug, 2020 )
  2. Volume-8,Issue-7  ( Jul, 2020 )
  3. Volume-8,Issue-6  ( Jun, 2020 )
  4. Volume-8,Issue-5  ( May, 2020 )
  5. Volume-8,Issue-4  ( Apr, 2020 )
  6. Volume-8,Issue-3  ( Mar, 2020 )
  7. Volume-8,Issue-2  ( Feb, 2020 )
  8. Volume-8,Issue-1  ( Jan, 2020 )
  9. Volume-7,Issue-12  ( Dec, 2019 )
  10. Volume-7,Issue-11  ( Nov, 2019 )

Statistics report
Jan. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 2068
No. of Authors : 5897
  Journal Paper


Paper Title :
Modeling and Optimization of Submerged Friction Stir Welding of AA 2219-T6 Alloy

Author :Wisam Al-Wajidi, Fantahun M. Defersha, Ibrahim Deiab

Article Citation :Wisam Al-Wajidi ,Fantahun M. Defersha ,Ibrahim Deiab , (2017 ) " Modeling and Optimization of Submerged Friction Stir Welding of AA 2219-T6 Alloy " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 24-27, Volume-5,Issue-12

Abstract : In many fields, such as the aerospace industry, acquiring high-quality weld is considered challenging with conventional joining techniques. This issue appears at some materials, especially those that have low melting temperature. Friction stir welding (FSW) is a promising joining technique for welding lightweight materials. FSW is an environmentallyfriendly technique, which involves versatility and energy efficiency used to generate a good collection of mechanical properties and microstructure. This process is an innovative solid-state joining technique. FSW processes were first applied on aluminum alloys because of their low melting temperatures; and were found to be an effective technique. Submerged Friction Stir Welding has been conducted successfully in joining different alloys. The objective of the present paper is to develop a model, optimize the submerged FSW process, and compare with experimental data published in the literature. The optimization problem is formulation using the Lagrange multiplier method and the optimality conditions are verified using Karush-Kuhn-Tucker (KKT) theorem. Keywords- KKT, Karush-Kuhn-Tucker, FSW, Friction Stir Welding, Underwater, UFSW, AA 2219-T6, Aluminum Alloys.

Type : Research paper


Copyright: © Institute of Research and Journals

| PDF |
Viewed - 73
| Published on 2018-01-31
   
   
IRAJ Other Journals
IJMPE updates
We are happy to announce that Dr. R. A. SAVANUR joined as the CHief Editor for IJMPE.
The Conference World

JOURNAL SUPPORTED BY