Optimization of Automatic TIG Welding Parameters of AISI 304L ASS Welds Using Response Surface Methodology

Abstract

The present study, aims to investigate, under welding parameters of current, voltage and gas flow, the effects of welding parameters on tensile strength of AISI 304L ASS welds using response surface methodology (RSM). The RSM and variance analysis (ANOVA) were used to check the validity of quadratic regression model and to determine the significant parameter affecting tensile strength of welds. Hence, ANOVA clearly revealed that the contribution of each factor is 71.40% of voltage, 19.2% of current and 8.30% of gas flow. It was found that combined contributions of welding parameters contributes significantly to the metallurgical changes by varying fractions, morphology and grain size of metallic compounds. Furthermore, the optimum automatic welding conditions lead to produce the best possible weld quality in the range of our experiment using desirability function approach for single response of RSM optimization factors, in which it concluded that tensile strength components are influenced principally by voltage. Finally, the ranges for best welding conditions are proposed for serial industrial production.

Multi-objective optimization and evolution of dissimilar welding process between Cr-Mo steel and austenitic stainless steel for power plant application

“…The figure 1 illustrates that the hardness value for the fusion zone falls within the range of values for the heataffected zone and the base material. This is in agreement with previous researches [16,17]. Consequently, the hardness gaps (ΔH316LN, ΔHP11) between the highest and lowest levels were selected to achieve optimal welding parameters and to ensure the reliability of the welded structure.…”

“…Where, δ stringers have grown and raised near the diffusion line. This growth of δ stringers is attributed to fast cooling rate of austenite grain induced by ferritic transformation to austenite (α → γ + δ) during the thermal welding cycle, consequently retaining a heightened proportion of ferrite represented by δ stringers [16,30]. Furthermore, It is observed that suboptimal parameter gives thick branches of δ phase in FZ and HAZ with dendritic morphology in the most FZ, while an OP parameter weld results in thin branches of δ phase with vermicular morphology of austenite in FZ (figures 9(a), (c)).…”

Optimization and Evaluation of Mechanical and Electrochemical Properties of Ferritic Stainless Steel Welding Using Taguchi Design

“…Most of the research on the fusion welding of FSS focuses on TIG welding, GMA welding, and SMAW processes. However, information concerning the optimization of TIG welding process parameters need be more analyzed using experimental designs that is in Taguchi and RSM methods [16,17]. Thus, the main objective of this study is to optimize the welding parameters for AISI 430 FSS welds by Taguchi's design focused on minimization of ferrite grains size in the fusion zone.…”