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 language | English |
|---|---|
| Article number | 012134 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 376 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 27-06-2018 |
| Event | International Conference on Advances in Manufacturing, Materials and Energy Engineering, IConMMEE 2018 - Badaga Mijar, Moodbidri, Karnataka, India Duration: 02-03-2018 → 03-03-2018 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Engineering(all)
Cite this
}
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 journal › Conference article
TY - JOUR
T1 - Multi Response Optimization of Friction Stir Welding Process Variables using TOPSIS approach
AU - Prabhu, Subramanya R.
AU - Shettigar, Arun
AU - Herbert, Mervin
AU - Rao, Shrikantha
PY - 2018/6/27
Y1 - 2018/6/27
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85049883049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049883049&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/376/1/012134
DO - 10.1088/1757-899X/376/1/012134
M3 - Conference article
VL - 376
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012134
ER -