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Visual measurement and tracking in laser hybrid welding

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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.

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References

  1. Avidan, S.: Support vector tracking. IEEE Trans. Pattern Anal. Mach. Intell. 26, 1064–1072 (2004)

    Article  Google Scholar 

  2. Bardin, F., Cobo, A., Lopez-Higuera, J.M., Collin, O., Aubry, P., Dubois, T., Högström, M., Nylen, P., Jonsson, P., Jones, J.D.C., Hand, D.P.: Optical techniques for real-time penetration monitoring for laser welding. Appl. Opt. 44, 3869–3876 (2005)

    Article  Google Scholar 

  3. Bezdek, J.C.: A convergence theorem for the fuzzy isodata clustering algorithms. IEE Trans. PAMI 2, 1–8 (1980)

    MATH  Google Scholar 

  4. Black, M.J., Jepson, A.D.: EigenTracking: Robust matching and tracking of articulated objects using a view-based representation. Int. J. Comput. Vis. 26, 63–84 (1998)

    Article  Google Scholar 

  5. Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, Pittsburgh, PA, USA, July 27–29 pp. 144–152 (1992)

  6. Canu, S., Grandvalet, Y., Guigue, V., Rakotomamonjy, A.: SVM and Kernel Methods Matlab Toolbox 20.12.2005. http://asi.insa-rouen.fr/~arakotom/toolbox/index.html

  7. Chen, Y., Chen, J., Wu, L., Li, L.: The arc image processing of hybrid welding. In: 21st International Congress on Applications of Lasers and Electro Optics, Scottsdale, AZ, USA, October 14–17, pp.1293–1302 (2002)

  8. Cui, G., Gao, W.: SVMs for few examples-based face recognition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, April 6–10, pp.381–384 (2003)

  9. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection, In: International Conference on Computer Vision and Pattern Recognition, CVPR 2005, San Diego, CA, USA, pp. 886–893 (2005)

  10. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, New York (2001)

    Google Scholar 

  11. Feng, X., Fang, J., Qiu, G.: Color photo categorization using compressed histograms and support vector machines. In: Proceedings of the 2003 International Conference on Image Processing, Barcelona, September 14–18, pp. 753–756 (2003)

  12. Ferraresi, V.A., Figueiredo, K.M., Hiap Ong, T.: Metal transfer in the aluminum gas metal arc welding. J. Braz. Soc. Mech. Sci. Eng. 25, 229–234 (2003)

    Google Scholar 

  13. Garg, A., Cohen, I., Huang, S.: Adaptive learning algorithm for SVM applied to feature tracking. In: Proceedings of the 1999 International Conference on Information Intelligence and Systems, Rockville, MD, USA, 31 October – 3 November, pp. 388–395 (1999)

  14. Jin, X.Z., Li, L.J.: A conduction model for deep penetration laser welding on an actual keyhole. Opt. Laser Technol. 35, 5–12 (2003)

    Article  Google Scholar 

  15. Kaierle, S., Bongard, K., Dahmen, M., Poprawe, R.: Innovative hybrid welding process in an industrial application. In: Proceedings of International Conference on the Applications of Lasers and Electro-Optics ICALEO 2000, Dearborn, MI, USA, 2–5 October, pp. 91–98 (2000)

  16. Kalman, R.E.: A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng. 82, 35–45 (1960)

    Google Scholar 

  17. Kim, J.D., Kim, Y.H., Oh, J.S.: Diagnostics of laser-induced plasma in welding of aluminum alloy. Key Eng. Mater. 261–263, 1671–1676 (2004)

    Article  Google Scholar 

  18. Kim, T., Suga, Y., Koike, T.: Welding of thin steel plates by hybrid welding process combined TIG Arc with YAG Laser. JSME Int. J. A Solid Mech. Mater. Eng. 46, 202–207 (2003)

    Google Scholar 

  19. Kovacevic, R., Zhang, Y.M.: Real-time image processing for monitoring of free weld pool surface. Trans. ASME J. Manuf. Sci. Eng. 119, 161–169 (1997)

    Article  Google Scholar 

  20. Lo, C., Wang, S.: Video Segmentation using a histogram-based fuzzy C-means clustering algorithm. Comput. Stand. Interfaces 23, 429–438 (2001)

    Article  Google Scholar 

  21. Nordbruch, S., Gräser, A.: Optimization of PGMAW using online observation and statistical data. In: 11th International Conference on Computer Technology in Welding, NIST Special Publication 973, Columbus, OH, USA, December 5–6, pp. 31–38 (2002)

  22. Oja, E.: Subspace Methods of Pattern Recognition. Research Studies and Wiley, New York (1983)

    Google Scholar 

  23. Ponomarev, V., Scotti, A., Miranda, H.C., Costa, A.V.: Investigation of the mechanism of short arc MIG/MAG welding metal transfer mixed modes. Int. J. Join. Mater. 16, 65–70 (2004)

    Google Scholar 

  24. Qing, Y.X., Hua, H.Z., Qiang, X.: Histogram based fuzzy C-mean algorithm for image segmentation. In: Proceedings of the 11th IAPR International Conference on Pattern Recognition Vol. III, Hague, Netherlands, 30 August – 3 September, pp. 704–707 (1992)

  25. Semak, V.V., Hopkins, J.A., McCay, M.H., McCay, T.D.: Melt pool dynamics during laser welding. J. Phys. D Appl. Phys. 28, 2443–2450 (1995)

    Article  Google Scholar 

  26. Tong, H., Ueyama, T., Tanaka, M., Ushio, M.: Observations of abnormal arc voltage phenomena in AC/DC pulsed MIG welding. Weld. Int. 19, 940–944 (2005)

    Article  Google Scholar 

  27. Trucco, E., Verri, A.: Introductory techniques for 3-D computer vision. Prentice-Hall, Englewood Cliffs (1998)

    Google Scholar 

  28. Wang, H., Kovacevic, R.: On-line monitoring of the keyhole welding pool in variable polarity plasma arc welding. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 216, 1265–1276 (2002)

    Article  Google Scholar 

  29. Wang, J.J., Lin, T., Chen, S.B.: Obtaining weld pool vision information during aluminium alloy TIG welding. Int. J. Adv. Manuf. Technol. 26, 219–227 (2005)

    Article  Google Scholar 

  30. Wu, C.S., Chen, M.A., Lu, Y.F.: Effect of current waveforms on metal transfer in pulsed gas metal arc welding. Measurement Sci. Technol. 16, 2459–2465 (2005)

    Article  Google Scholar 

  31. Wu, Y., Kovacevic, R.: Mechanically assisted droplet transfer process in gas metal arc welding. Proc. Institution Mech. Eng. B J. Eng. Manuf. 216, 555–564 (2002)

    Article  Google Scholar 

  32. Xu, F., Liu, X., Fujimura, K.: Pedestrian detection and tracking with night vision. IEEE Trans. Intell. Transp. Syst. 6, 63–71 (2005)

    Article  Google Scholar 

  33. Zhang, Y.M., Kovacevic, R., Li, L.: Characterization and real-time measurement of geometrical appearance of the weld pool. Int. J. Mach. Tools Manuf. 36, 799–816 (1996)

    Article  Google Scholar 

  34. Zhu, Z., Ji, Q.: Robust real-time eye detection and tracking under variable lighting conditions and various face orientations. Comput. Vis. Image Underst. 98, 124–154 (2005)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Information Technology, Lappeenranta University of Technology, P.O. Box 20, 53851, Lappeenranta, Finland

    Henri Fennander, Ville Kyrki & Heikki Kälviäinen

  2. Department of Mechanical Engineering, Laser Processing Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland

    Anna Fellman & Antti Salminen

Authors
  1. Henri Fennander
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  2. Ville Kyrki
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  3. Anna Fellman
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  4. Antti Salminen
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  5. Heikki Kälviäinen
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Correspondence to Ville Kyrki.

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Fennander, H., Kyrki, V., Fellman, A. et al. Visual measurement and tracking in laser hybrid welding. Machine Vision and Applications 20, 103–118 (2009). https://doi.org/10.1007/s00138-007-0111-1

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  • DOI: https://doi.org/10.1007/s00138-007-0111-1

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