Experimental analysis on friction stir welded AA 7075/AA 6061 using Taguchi grey relational analysis. (2021)
- Record Type:
- Journal Article
- Title:
- Experimental analysis on friction stir welded AA 7075/AA 6061 using Taguchi grey relational analysis. (2021)
- Main Title:
- Experimental analysis on friction stir welded AA 7075/AA 6061 using Taguchi grey relational analysis
- Authors:
- Kalil Rahiman, M.
Santhoshkumar, S.
Mathan Kumar, P. - Abstract:
- Highlights: Grey Relational analysis solves the multiple parameters using optimization technique. Friction stir welding joint and defects are minimized. Suitability of the output responses were validated with the experimental values and its performance. Abstract: In recent years, the applications of aluminium and its alloys are inevitable in aerospace, automobile, railway and shipbuilding industries due to its strength to weight ratio, resistance to corrosion and machine ability. In this experimental study, an effective approach, Grey Relational Analysis (GRA) is a novel methodology substantiated for optimizing the dissimilar aluminium alloys. The process parameters for AA 7075 and AA 6061 considered with the specimen thickness of 6 mm were experimentally examined by friction stir welding (FSW) technique. In FSW technique, tensile properties have been investigated, which exhibits superior metallurgical and mechanical properties after the post weld treatment. Moreover, the multi response optimization with L9 orthogonal array being carried out to process the optimized parameters on FSW nuggets and ANOVA (Analysis of Variance) resulted ascertains the mathematical responses to minimize the cracks, defects and flaws during the solidification and recrystallization processes. In spite of numerous commercial applications, the aluminium and its alloys are exploited to yield the intense tensile strength. The GRA is codified by the optimum parameters and the experimental number 8Highlights: Grey Relational analysis solves the multiple parameters using optimization technique. Friction stir welding joint and defects are minimized. Suitability of the output responses were validated with the experimental values and its performance. Abstract: In recent years, the applications of aluminium and its alloys are inevitable in aerospace, automobile, railway and shipbuilding industries due to its strength to weight ratio, resistance to corrosion and machine ability. In this experimental study, an effective approach, Grey Relational Analysis (GRA) is a novel methodology substantiated for optimizing the dissimilar aluminium alloys. The process parameters for AA 7075 and AA 6061 considered with the specimen thickness of 6 mm were experimentally examined by friction stir welding (FSW) technique. In FSW technique, tensile properties have been investigated, which exhibits superior metallurgical and mechanical properties after the post weld treatment. Moreover, the multi response optimization with L9 orthogonal array being carried out to process the optimized parameters on FSW nuggets and ANOVA (Analysis of Variance) resulted ascertains the mathematical responses to minimize the cracks, defects and flaws during the solidification and recrystallization processes. In spite of numerous commercial applications, the aluminium and its alloys are exploited to yield the intense tensile strength. The GRA is codified by the optimum parameters and the experimental number 8 graded the utmost tensile strength. This investigation facilitates to accomplish the enhanced mechanical properties and techniques in FSW over conventional welding process. … (more)
- Is Part Of:
- Materials today. Volume 45:Part 2(2021)
- Journal:
- Materials today
- Issue:
- Volume 45:Part 2(2021)
- Issue Display:
- Volume 45, Issue 2, Part 2 (2021)
- Year:
- 2021
- Volume:
- 45
- Issue:
- 2
- Part:
- 2
- Issue Sort Value:
- 2021-0045-0002-0002
- Page Start:
- 3290
- Page End:
- 3295
- Publication Date:
- 2021
- Subjects:
- Grey Relational Analysis (GRA) -- Friction Stir Welding (FSW) -- ANOVA (Analysis of Variance)
Materials science -- Congresses -- Periodicals
620.1 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22147853 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.matpr.2020.12.519 ↗
- Languages:
- English
- ISSNs:
- 2214-7853
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17158.xml