Prediction of Friction Stir Welding Parameters Using Response Surface Methodology
- Title
- Prediction of Friction Stir Welding Parameters Using Response Surface Methodology
- Creator
- Raj A.; Kumar J.P.; Rout I.S.; Dulabhai H.P.; Thomas S.
- Description
- The Friction Stir Welding (FSW) technique results in mixing and densification of weld joint in a more accurate and localized manner. FSW has been used to create a more significant weld with more structural integrity. In this research work, to join AA 3103 and AA 7075 was carried out. These alloys were preferred due to their wide variety of applications varying from aluminium fabrication to the aerospace industry. AA 7075, being a costlier metal, can be partially replaced with AA 3103, which can be economically justifiable for this research. The study tries to reveal the regression model by considering the FSW parameters like speed feed and offset. Various mechanical tests, impact tests and hardness tests were used for determining the most suitable weld joint. After conducting the tests, the results were analyzed using Minitab 18 software. The mathematical equations were derived out of Response Surface Methodology, which proved to be efficient. The report thus discusses the details in the analysis and study of FSW. 2023 American Institute of Physics Inc.. All rights reserved.
- Source
- AIP Conference Proceedings, Vol-2856, No. 1
- Date
- 2023-01-01
- Publisher
- American Institute of Physics Inc.
- Subject
- Friction stir welding; H13 tool steel; Response Surface Method
- Coverage
- Raj A., Department of Mechanical and Automobile Engineering School of Engineering and Technology, Christ university, Karnataka, Bengaluru, 560074, India; Kumar J.P., Department of Mechanical and Automobile Engineering School of Engineering and Technology, Christ university, Karnataka, Bengaluru, 560074, India; Rout I.S., Department of Mechanical and Automobile Engineering School of Engineering and Technology, Christ university, Karnataka, Bengaluru, 560074, India; Dulabhai H.P., Department of Mechanical and Automobile Engineering School of Engineering and Technology, Christ university, Karnataka, Bengaluru, 560074, India; Thomas S., Department of Mechanical and Automobile Engineering School of Engineering and Technology, Christ university, Karnataka, Bengaluru, 560074, India
- Rights
- Restricted Access
- Relation
- ISSN: 0094243X
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Raj A.; Kumar J.P.; Rout I.S.; Dulabhai H.P.; Thomas S., “Prediction of Friction Stir Welding Parameters Using Response Surface Methodology,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19587.