Alireza Aghaeifar - 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 ۳۱۰S) using the RSM method, ۱۷ 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 ۰.۹۵۳. 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 ۲۵۰ mm/min, wire feed rate of ۲۱۰ cm/min, and voltage of ۱۷ volts.

Gas Metal arc welding, Response surface methodology, SUH ۳۱۰S steel, Mechanical properties, Optimization