In this study, we proposed a simulator for the development of a digital multi-process welding machine and a welding process monitoring system. The simulator, which mimics the data generation process of the welding machine, is composed of process control circuit, peripheral device circuit, and wireless communication circuit. Utilizing this simulator, we aimed to develop a welding process monitoring system that can monitor the welding situations of four multi-process welding machines and three processes each, with data transmission through wireless communication. Through the operation of the proposed simulator, sequential digital processing of multi-process welding data and wireless communication were achieved. The welding process monitoring system enabled real-time monitoring and accumulation of the process data. The selection of upper and lower limits for process variables was carried out using a deep neural network based on allowable changes in bead shape, enabling the management of welding quality by applying a process control technique based on the trend of received data.

In this study, 3D design, vibration analysis and experiment, and feed rate performance test were performed to develop a vibratory bowl feeder for supplying ultra-thin plate parts of less than 50 microns. The natural frequency and resonant frequency of the vibratory bowl feeder were obtained through the vibration analysis and experiment, and it was confirmed that the results of the analysis and experiment agree well. Through the feed rate experiment, it was confirmed that up to 610 ultra-thin parts per minute were fed at 250Hz and a supply voltage of 220V, where the excitation frequency and the resonant frequency match. And through analysis and experimental research, it was confirmed that the development of a vibratory bowl feeder for supplying ultra-thin parts was successful.