• Bandhiya pravin
• Joshi shubham
• Jadav ravikant
• Shah shreyansh
• Ezhava shrujal

This paper presents an effective approach for the optimization of rotational welding machine process of Al.-Cu with multiple performance characteristics based on the ANOVA and Gray relational analysis.9 experimental runs based on the Taguchi method of orthogonal arrays were performed to determine the best factor level condition. The response table and response graph for each level of machining parameters were obtained from the Gray Relational grade. In order to optimize the multiple responses problem Technique for order preference by similarity to an ideal solution (TOPSIS) methodology is used to get a single numerical index. In this study, the rotational welding machine parameter such as speed and pressure optimization with consideration of multiple-performance characteristics, such as w/p hardness and UTS. By analyzing the gray relational grade and ANOVA, it is observed that the welding rotational speed has more effect on response rather than pressure. Effect of variable parameters on properties like tensile strength & yield strength will be analysed by analysis of variance (ANOVA) by which impact of each process parameter will be determined on properties considered. And this technique will be used for predicting best variable process parameters. It is clearly shown that the above performance characteristics in welding process can be improved effectively through this approach.

Evaluation, optimization, standardization, friction welding machine, bimetallic lug.

"Evaluation and optimization of friction welding machine parameter on bimetallic lug", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.239-246, April-2019, Available :http://www.jetir.org/papers/JETIR1904335.pdf

"Evaluation and optimization of friction welding machine parameter on bimetallic lug", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp239-246, April-2019, Available at : http://www.jetir.org/papers/JETIR1904335.pdf