• Jagdish Prajapat
• Dheeraj Mandliya
• Dilip Gehlot

In the current work, we focus on optimizing weld joints made of AISI 304 Stainless steel by employing Taguchi and ANOVA statistical methodologies. We evaluate weld distortion and depth of penetration across various samples. These samples are produced using different combinations of welding current, gas flow rate, root face, and welding speed settings. By applying Taguchi and ANOVA analyses, we predict and compare the values of weld distortion and depth of penetration against the actual measurements. The close alignment between predicted and observed values validates the chosen experimental parameters. Moreover, the ANOVA outcomes delineate the contributions of individual process parameters to weld reinforcement, thereby guiding operational decisions effectively.

Optimization, ANOVA, Gas flow rate, Welding current, Root face, Welding speed

"OPTIMIZATION OF WELDING PROCESS PARAMETERS TO IMPROVE THE MECHANICAL STRENGTH OF WELD JOINTS USING RESPONSE SURFACE METHODOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.a171-a178, February-2024, Available :http://www.jetir.org/papers/JETIR2402021.pdf

"OPTIMIZATION OF WELDING PROCESS PARAMETERS TO IMPROVE THE MECHANICAL STRENGTH OF WELD JOINTS USING RESPONSE SURFACE METHODOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppa171-a178, February-2024, Available at : http://www.jetir.org/papers/JETIR2402021.pdf