scholarly journals Optimization of Process Parameters of Friction Stir Welding of Dissimilar Aluminum Alloys (AA6061-T6 and AA6082-T6)

2016 ◽  
Vol 9 (36) ◽  
Author(s):  
Gurvir Singh Suri ◽  
Gurmeet Kaur ◽  
Jasbir Singh Gill
Keyword(s):  
Friction Stir Welding ◽  
Aluminum Alloys ◽  
Process Parameters ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys ◽  
Optimization Of Process Parameters

Multi-objective optimization of friction stir welding process parameters for joining of dissimilar AA5083/AA6063 aluminum alloys using hybrid approach

2016 ◽  
Vol 232 (4) ◽  
pp. 343-353 ◽  
Author(s):  
Saurabh Kumar Gupta ◽  
KN Pandey ◽  
Rajneesh Kumar
Keyword(s):  
Friction Stir Welding ◽  
Aluminum Alloys ◽  
Process Parameters ◽  
Hybrid Approach ◽  
Weld Nugget ◽  
Multi Objective Optimization ◽  
Nugget Zone ◽  
Friction Stir ◽  
Multi Objective ◽  
Dissimilar Aluminum Alloys

Joining of dissimilar aluminum alloys are widely used in automobile, aerospace and shipbuilding industries. The defect-free joining of aluminum alloys using conventional technique is a challenging task for a welding engineer. Friction stir welding has been established as one of the most promising processes for defects-free joining of aluminum alloys. In this study, a hybrid approach of grey relational analysis with principal component analysis, is applied for multi-objective optimization of process parameters for friction stir welding of dissimilar AA5083/AA6063 aluminum alloys. Three responses namely tensile strength, average hardness at weld nugget zone and average grain size at weld nugget zone, and four process parameters with three levels have been selected for the study. Taguchi method based L27 orthogonal array design matrix is used for experiments. The optimal set of process parameters using hybrid approach was found as 900 r/min of tool rotational speed, 60 mm/min of welding speed, 18 mm of shoulder diameter and 5 mm of pin diameter. Improved performance of each response was obtained from the confirmation tests at optimum level of parameters.

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