Document Type : Research Paper
Department of civil Engineering , Payame Noor University , Tehran Iran
Due to technological advances and the growing need to repair parts at low cost, the gas metal arc welding (GMAW) method has become increasingly popular among industrialists. The response surface methodology (RSM) and model validity were measured with standard statistical measures. In this research, the input parameters including; welding speed (mm/min), voltage (V), and wire feed rate (cm/min), have been selected as input parameters. Mini-tab software was utilized to carry out modeling and optimization using RSM. On heat resistance steel (SUH 310S) using the RSM method, 17 experimental experiments were designed with three center points. According to the signal-to-noise ratio (S/N), the effective parameters of mechanical properties and hardness are wire feed rate, voltage, and welding speed, respectively. The results showed that the analysis of variance (ANOVA) with the desirability model obtained 0.953. Optimum levels for each input variable were analyzed in terms of mechanical properties and welding hardness. Finally, the optimum levels obtained are welding speed of 250 mm/min, wire feed rate of 210 cm/min, and voltage of 17 volts.