Developed AI-based System to Predict Movement of Vacuum Arc Cathode Spot

Currently, problems such as the declining birthrate and aging population have created a need for automation to replace manual labor. One such technology is the oxide film removal method using a vacuum arc cathode spot. This method minimizes secondary waste and enables high-speed removal. However, the area that can be treated under vacuum is limited, making it unsuitable for automation. The establishment of an oxide film treatment technique using a vacuum arc cathode spot in a low vacuum is aimed for. In this research, an AI-based prediction system for tracking and predicting the movement of the vacuum arc cathode spot has been developed. Specifically, a high-speed video camera is used to record the movement of the cathode spot. Cathode spot movement time series data are generated, and subsequent movement predictions are made and compared with the actual trajectory.