Year of Publication
Master of Science in Electrical Engineering (MSEE)
Electrical Engineering and Computer Science
Dr. Yuming Zhang
Human welders have long been able to monitor a weld pool and adjust welding parameters accordingly. Automated welding robots can provide consistent movement during the welding process, but lack the ability to monitor the weld pool. A vision system attached to the welding robot could provide a way to monitor the weld pool substantially faster than a human being. Previous vision systems to monitor weld pool surfaces have been developed, but their uses are limited since the system is fixed in place. The compact vision system developed in this research attaches directly to the welding torch, which provides no limitations in weld pool monitoring. This system takes advantage of the specular surface of a molten weld pool by reflecting a pattern of laser beams from the weld pool surface. The deformation of the laser beam after it reflects from the weld pool surface can provide clues to the weld pool shape, and thus the penetration of the weld. Image processing techniques and geometric optics are used to reconstruct a weld pool surface shape based on the image captured of the deformed laser pattern.
Maroudis, Alexander Phillip, "COMPACT VISION SYSTEM FOR MONITORING OF 3D WELD POOL SURFACE IN PIPE WELDING" (2011). University of Kentucky Master's Theses. 655.