OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY BASED ON DESIRABILITY FUNCTION APPROACH OF FRICTION STIR WELDING

  • Ravi Kushwaha, Professor Purushottam Kumar Sahu

Abstract

Friction stir welding (FSW) is comparatively new solid state connection method. This connection technique is energy economical, atmosphere friendly and versatile. Welding could be a multiinput-output method within which quality of welded joint is depends upon an input parameter. Thus optimization of input method parameter is needed to realize smart quality of welding. There square measure such a lot of strategies of optimization within which Taguchi technique and Response surface methodology square measure designated for optimization of method parameter. Optimum combination of method parameters setting is found: tool rotation speed of one thousand rates, tool travel speed of twenty mm/min & two No. of passes for achieving a weld joint having superior maximum hardness (HRB), viz., with a 95% confidence level, is developed using response surface methodology to predict the hardness of the weld joint. ANOVA technique is used to determine the adequacy of the developed model and identify the significant terms. The desirability function is used to analyze the responses and predict the optimal process parameters. 6. An optimum hardness, Tool Rotation Speed (rpm) A2 1000 rpm (b) Tool Travel Speed (mm/min), B1 20 mm/min (c) No. of passes the error between predicted and confirmatory test is obtained approximately 1%, which validates the used optimization technique. Index Terms: Response surface methodology, Taguchi method, Hardness, desirability function.
How to Cite
Ravi Kushwaha, Professor Purushottam Kumar Sahu. (1). OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY BASED ON DESIRABILITY FUNCTION APPROACH OF FRICTION STIR WELDING . ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING ISSN: 2456-1037 INTERNATIONAL JOURNAL IF:7.98, ELJIF: 6.194(10/2018), Peer Reviewed and Refereed Journal, UGC APPROVED NO. 48767, 6(8), 142-147. Retrieved from https://ajeee.co.in/index.php/ajeee/article/view/2145
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