Contribution to Arc Voltage by Automatic TIG Arc Welding Using AI Discrimination in Uneven Base Metal

TIG arc welding is used in various places because of its ability to weld for long periods of time, precision welding, and lack of spatter, but problems such as the aging of the population in recent years have led to calls for automation. To establish an automated TIG arc welding method, feedback control has been used to measure arc voltage and arc length and to control the distance between electrodes, but since these are ex-post controls, the control lags behind the phenomenon. Therefore, in this research, automatic TIG arc welding using AI discrimination was performed as a pre-control method. Specifically, the base metal was identified by having YOLOV5 learn the shape of the base metal. Measurements of the discriminated base metal were taken using iPad. Through this research, automatic TIG arc welding method will be developed that enables optimal control for various shapes by understanding the base metal shape using AI discrimination.