A knowledge-based multipass welding distortion estimation method for a multi-robot welding off-line programming and simulation software
Hannu Lund, Sakari Penttilä, Tuomas Skriko
Abstract
The current robotic welding off-line programming software packages do not consider the effect of welding distortions although the welding distortions are well-known phenomena. Due to the distortions, off-line programmed robot programs will have inaccuracies in robot positions. The purpose of this study is to develop a method for estimating the welding distortions during the jigless multi-robot welding production using a robot welding off-line programming software as a simulation environment. The applied methodology is to measure distortions of welded S700 workpieces with laser scanner and by manual measurement, and create knowledge-based welding distortion estimation method in the simulation software. The results of this study indicate that the distortion in welded workpiece can be measured with laser scanner or manually and during simulation the robot was able to edit its position according to the measured estimation. Laser scanning was found to be preferred measuring method as the data can be collected digitally.