Multi response Optimization of Friction stir welding process parameters in dissimilar alloys using Grey relational analysis

3rd International Conference on Materials and Manufacturing Engineering 2018

Palani, K.^1 ; Elanchezhian, C.^2

Department of Mechanical Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (Deemed to Be University), Tamilnadu, Kanchipuram

631561, India^1

Department of Mechanical Engineering, Sri Sairam Engineering College, Tamilnadu, Chennai

600 044, India^2

关键词: Grey relational analysis;    Grey relational grade;    Joint efficiencies;    Multiresponse optimization;    Optimal conditions;    Process parameters;    Tensile elongation;    Welding parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/390/1/012061/pdf
DOI  :  10.1088/1757-899X/390/1/012061

来源: IOP

【 摘 要 】

A multi response optimization of friction stir welding parameters in dissimilar alloys using Taguchi based Grey relational analysis was studied in this investigation. The dissimilar nonferrous AA8011-H24 aluminium alloys and Ti3Al2.5V titanium alloys were friction stir welded under different process parameters, viz., rotational speed, tool pin profiles and welding speed on tensile strength, tensile elongation and joint efficiency have been optimized by applying multi response analysis. The grey relational grade is attained which correlates between the friction stir welding parameters and responses and the optimum level of welding parameters have been determined by grey analysis. The rotational speed is the most significant contributing parameter to decide the good quality of the welded joints followed welding speed and the tool pin profiles was found using analysis of variance. The confirmation test results showed that the grey relational grade was improved 0.059 with the predicted responses at the optimal conditions.