A Methodology for Control of the Robotic Welding Process Using Infrared Sensors
With the advance of the robotic arc welding process, procedure optimization which selects the welding procedure and predicts bead geometry that will be deposited is increased. A major concern involving procedure optimization should define a welding procedure which can be shown to be the best with respect to some standard and chosen combination of process parameters which give an acceptance balance between production rate and the scope of defects for a given situation. In this paper, bead-on-plate welding using an infrared thermography during robotic CO2 welding process has been conducted to obtain the thermal profile characteristics and develop the empirical models which influence process parameters on bead width with the help of a standard statistical package program SAS. The comparison with values of coefficient of multiple correlations for curvilinear and linear equations presents no differences, which indicate that the developed equations are reasonably suitable.
M. S. J. Hashmi, B. S. Yilbas and S. Naher
H.H. Kim et al., "A Methodology for Control of the Robotic Welding Process Using Infrared Sensors", Advanced Materials Research, Vols. 83-86, pp. 261-268, 2010