Nowadays, welding robots and autonomous systems are widely applied in production and industries. At Synchrotron Light Research Institute (Public Organization) - SLRI, welding robots are operated for many purposes such as metal welding for mechanical works requiring high precision, creation and test of vacuum system for development of accelerator and experimental stations surrounding electron storage ring. Use of robots helps reducing welders’ workload from many repetitive tasks.
Use of a smart welding robot to create a welded stainless-steel workpiece
However, welders’ specific skill and welding competence are required in setting robot parameters for effective creating of welding workpieces. For welders who have only basic welding skills or are unfamiliar with robotic welding process, the robotic welding control system is, therefore, needed. Thus, SLRI engineers developed the robotic smart control system operated on a computer and have it tested to fulfill SLRI tasks.
A core part of the system is a control system program developed on a computer comprising of 4 main components. The first component is “Database Management System (DBMS)” which collects data of welders’ specific skills and technical competence. The second component called “Graphical User Interface (GUI)” allows welders to directly insert welding parameters such as metal type (stainless steel, copper, or iron), material thickness, basic welding mode, geometric or specific shape of metal piece. The third component “Welding Job Classification” analyzes for the most suitable welding method. The fourth part “Main Processing Unit” is a central data evaluation and monitors a robot to work for a workpiece as needed.
The smart control system for welding robot enables non-specialized people to operate robot to make welding workpieces based on the robot programmed with welders’ specific skills. The system operates welding process automatically and makes workpieces high in quality and precision. The system helps reducing time spent in producing workpieces with different welding patterns and in feeding parameter data. In addition, production of many workpieces will be less time-consuming with low rate of yield loss and lower capital and material costs. The system also decreases welders’ workload.
Examples of weld beads created on stainless-steel workpieces
Article by: Dr. Roengrut Rujanakraikarn
Research Engineer, SLRI