Multi-response optimization of process parameters in friction stir welding of dissimilar aluminum alloys by Grey relation analysis (AA 6061-T6 & AA5083-H111). (2021)

• Record Type: Journal Article
• Authors: Elatharasan, G.; Manikandan, R.; Karthikeyan, G.
• Is Part Of: Materials today. Volume 37(2021)Supplement Part 2
• Page Start: 1172
• Page End: 1182
• Publication Date: 2021
• Subjects: ANOVA -- Solid-state -- Statistical -- Microstructure -- Welding; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.06.353
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: In the fusion of different solid-state alloys (150X150X6 mm) friction stir welding techniques are carried out using rotational speeds, transverse speeds and varying pin profiles. Emerging trends to join different alloys, heat-treated (AA 6061-T6) and non-heat can be treated (AA 5083-H111) is an important part of the joining dissimilar alloys. In this investigation, the experimental design using the response surface method must predict the parameters of the optimized welding method by using non-linear multi responsive optimization techniques. This technique, while using applications for experimental observations developed the mathematical model, must achieved the welding standards using optimal input and output parameters. These results use a confirmation process with reference to the ANOVA model which is used to develop and find out the optimal value of defect-free welding. It has developed a multivariate mathematical analysis for the relationship between the mechanical properties of the model. And using a scanning electron microscope from a microstructure must reveal dominant problems such as tunnel formation defects, voiding, plunging, etc.