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Parametric Optimisation by Using Response Surface Methodology (Rsm) of Submerged Arc Welding Process for Sa-516 Gr-70 Steel

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Document pages: 12 pages

Abstract: Submerge arc welding (SAW) has become a natural choice in industries for fabrication, specially for welding of pipes because of its deep penetration, smooth finish and high productivity. Optimum ranges of bead parameters are required for better economy and to ensure the desired mechanical properties. The above objectives can easily be achieved by development of mathematical model and execution of the experiments by response surface methodology. Response surface methodology (RSM) is a technique to determine and represent the cause and effect relationship between true mean responses and input control variables influencing the responses as a two or three dimensional hyper surface.This paper highlights the use of (RSM) by designing a four-factor two-level design matrix for planning, execution and development of mathematical model. For Experiment [SA-516 (Gr-70)] is used as a base metal. Main and interaction effects of the process variables on bead geometry and shape factors are presented in graphical form. From the experimental results, it is found that speed and voltage plays major role in finding weld bead dimensions.

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