A4 Conference proceedings

A knowledge-based multipass welding distortion estimation method for a multi-robot welding off-line programming and simulation software


Open Access publication

Publication Details
Authors: Lund Hannu, Penttilä Sakari, Skriko Tuomas
Publisher: Elsevier: Creative Commons Attribution Non-Commercial No-Derivatives License
Publication year: 2020
Language: English
Related Journal or Series Information: Procedia Manufacturing
Title of parent publication: 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021)
Volume number: 51
Start page: 302
End page: 308
Number of pages: 7
ISSN: 2351-9789
JUFO-Level of this publication: 1
Open Access: Open Access publication

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.


Last updated on 2020-01-12 at 13:38