Parametric optimization of TIG welding of duplex stainless steel without filler rod by PCA method

Abstract

Abstract The weld quality is mostly depended on the welding input factors. Welding quality is controlled by appropriately controlling the using process factors with sound knowledge base. The major influencing Tungsten Inert Gas (TIG) welding parameters are welding current, gas flow rate and speed of the welding. Controlling these parameters, the quality of the Duplex Stainless Steel (DSS) welding joints are improved. These welding process parameters are optimized to achieve the better quality of DSS welding joints. Here, the Principal Component Analysis (PCA) method and concept of Taguchi’s signal to noise ratio (S/N) are used to optimize the above TIG welding process parameters of UNS 2205 DSS. The quality of the TIG welding of DSS has been evaluated in term of tensile test. Statistical tool like Analysis of Variance (ANOVA) is applied to evaluate the significance of the individual factors on the desired responses like ultimate tensile strength, yield strength etc. The optimal result is verified by the additional experiment. This result shows the application possibility of the PCA method for incessant development of welding quality of DSS in many fields, like chemical industries, oil & gas refineries, manufacturing industries etc.