Monitoring of molten pool image during pipe welding in gas metal arc welding (GMAW) using machine vision

This paper proposes a study on monitoring of molten pool image during pipe welding in gas metal arc welding (GMAW) using machine vision. As circumferential butt-welded pipes are frequently used in power stations, offshore structures, and process industries, it is requires advance technique of welding monitoring process. The research was conducted for welding of mild steel with controlled welding speed and Charge-couple Device (CCD) camera as vision sensor. The systems used GMAW machine with DC current. Neural network used for simulation of weld bead width. The experimental result shows the effectiveness of the image processing algorithm and simulation process.