Multi Response Optimization of Friction Stir Welding Process Variables using TOPSIS approach

Subramanya R. Prabhu, Arun Shettigar, Mervin Herbert, Shrikantha Rao

Research output: Contribution to journalConference article

Abstract

Being a solid state welding process, the friction stir welding (FSW) is extensively used these days, to join difficulty-to-weld materials such as aluminium alloys and its composites. This study emphasizes on friction stir welding of aluminium matrix composite (AMC) reinforced with silicon carbide particle. The FSW tool geometry and process variables play a vital role in governing the joint strength. Size of the grain and the hardness at the weld region influences the joint strength. Process variables such as tool revolving speed, tool traverse speed and the tool pin profile are optimized with multiple responses such as % elongation, tensile strength and hardness. In the present study a technique for order preference by similarity to ideal solution (TOPSIS) approach is used to solve multiple response optimization problems. The optimal solution reveals that the multiple response characteristics of the FS welded AMCs can be improved through the TOPSIS approach.

Original languageEnglish
Article number012134
JournalIOP Conference Series: Materials Science and Engineering
Volume376
Issue number1
DOIs
Publication statusPublished - 27-06-2018
EventInternational Conference on Advances in Manufacturing, Materials and Energy Engineering, IConMMEE 2018 - Badaga Mijar, Moodbidri, Karnataka, India
Duration: 02-03-201803-03-2018

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Friction stir welding
Welds
Hardness
Composite materials
Aluminum
Silicon carbide
Elongation
Aluminum alloys
Welding
Tensile strength
Geometry

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)

Cite this

Prabhu, Subramanya R. ; Shettigar, Arun ; Herbert, Mervin ; Rao, Shrikantha. / Multi Response Optimization of Friction Stir Welding Process Variables using TOPSIS approach. In: IOP Conference Series: Materials Science and Engineering. 2018 ; Vol. 376, No. 1.
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Multi Response Optimization of Friction Stir Welding Process Variables using TOPSIS approach. / Prabhu, Subramanya R.; Shettigar, Arun; Herbert, Mervin; Rao, Shrikantha.

In: IOP Conference Series: Materials Science and Engineering, Vol. 376, No. 1, 012134, 27.06.2018.

Research output: Contribution to journalConference article

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AU - Herbert, Mervin

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AB - Being a solid state welding process, the friction stir welding (FSW) is extensively used these days, to join difficulty-to-weld materials such as aluminium alloys and its composites. This study emphasizes on friction stir welding of aluminium matrix composite (AMC) reinforced with silicon carbide particle. The FSW tool geometry and process variables play a vital role in governing the joint strength. Size of the grain and the hardness at the weld region influences the joint strength. Process variables such as tool revolving speed, tool traverse speed and the tool pin profile are optimized with multiple responses such as % elongation, tensile strength and hardness. In the present study a technique for order preference by similarity to ideal solution (TOPSIS) approach is used to solve multiple response optimization problems. The optimal solution reveals that the multiple response characteristics of the FS welded AMCs can be improved through the TOPSIS approach.

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