Abstract

Using the ANFIS, this study investigates the prediction of convective heat loss on the weld surface during TIG welding. Welding current, welding voltage, and welding speed are the employed process parameters in this investigation. Using 100 pieces of 80 x 40 x 10 mm mild steel coupons was the experiment's requirement. With argon serving as the shielding gas, the experiment was carried out 20 times, utilizing 5 specimens per run. For uniting the weld materials, a tungsten inert gas machine was used. Using the data from the experimental technique, the convective heat loss on the weldment surface was then calculated. From the given input values, ANFIS was utilized to forecast the convective heat loss on the weld surface. An intelligent model was developed to predict the welding parameters and their effect on convective heat loss on the weld surface. The convective heat loss on the weld's surface was predicted using ANFIS. The estimated convection heat loss for a 180 amp current, 2.8 mm/s welding speed, and 21 volts applied to the weld surface was 0.405 (W/m2K). According to the results, the model can optimize convective heat loss on the weld surface by 92.68%.