Parametric Optimization of Submerged Arc Welding using Taguchi Method on P91 Steel

Abstract

Abstract: Welding is one of the fabrication processes use to join metals permanently. Submerged arc welding (SAW) is one of the fusion welding process in which continuously fed consumable wire electrode is used for welding purpose. Selection of welding parameter plays an important role on weld quality. The main aim of our work in this paper is to investigate the influence of welding parameters like feed rate of wire electrode, welding speed and stick out distance on the weld bead of modified 9Cr-1Mo steels (P91). In this study parameters are optimized by Taguchi L9 orthogonal array (OA) experimental design and other statistical tool Analysis of Variance (ANOVA) techniques. Percentage contributions of individual parameter are validated by using ANOVA technique. The experimental results were analyzed by using statistical software Minitab 17. Further variation in hardness in weld zone and microstructure of welds are investigated.