Visual measurement and tracking in laser hybrid welding

Authors:
Henri Fennander;Ville Kyrki;Anna Fellman;Antti Salminen;Heikki Kälviäinen
Affiliations:
Lappeenranta University of Technology, Department of Information Technology, P.O. Box 20, 53851, Lappeenranta, Finland;Lappeenranta University of Technology, Department of Information Technology, P.O. Box 20, 53851, Lappeenranta, Finland;Lappeenranta University of Technology, Department of Mechanical Engineering, Laser Processing Laboratory, Lappeenranta, Finland;Lappeenranta University of Technology, Department of Mechanical Engineering, Laser Processing Laboratory, Lappeenranta, Finland;Lappeenranta University of Technology, Department of Information Technology, P.O. Box 20, 53851, Lappeenranta, Finland
Venue:
Machine Vision and Applications
Year:
2009

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Abstract

This paper presents a novel system for the automatic analysis of a hybrid welding process. High-speed imaging and laser illumination are used to measure the regularity of electric arc frequency and flight directions of filler metal droplets. A fuzzy c-means clustering method is used to detect arcs and segment the video sequences. The droplets are localized by combining principal component analysis and a support vector machine classifier. The flight of a droplet is tracked using Kalman filtering. Experiments indicate that the system is able to track the flights of droplets and to determine the regularity of the arc frequency with a high accuracy if the imaging conditions are stable.