Abstract
In this paper, welding pool image processing software is developed to measure the weld shape parameters in different images. Firstly the visual sensing system was established according to the principle of the passive visual image sensing. Next, the image processing and pattern recognition techniques are discussed to get a clear contour of the pool and measure its size. Finally, in order to testify the efficiency of the software, an image of aluminum alloy welding pool is used and validating results indicate these techniques can be applied practically
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References
Y. M. Zhang, L. Li and R. Kovacevic, Monitoring of weld pool appearance for penetration control, Proceedings of the 4th International Conference on Trends in Welding Research [C], Gatlinburg, Tennessee, USA, pp.5–8, June, 1995
R. Kovacevic and Y. M. Zhang, Real-time processing for monitoring of free weld pool surface, Journal of Manufacturing Science & Engineering, Transactions of the ASME [J], 119(5), pp. 161–169,1997.
S.B. Chen, D.B. Zhao, L. Wu and Y.J. Lou, Intelligent methodology for sensing, modeling and control of pulsed GEAW Part 1: Bead-on-plate Welding, Welding Journal [J], 79(6), pp. 164–173,2000.
Chen, S. B. Zhao, D. B. Wu, L. Lou, Y. J.: Intelligent Methodology for Measuring, Modeling, Control of Dynamic Process During Pulsed GTAW--Part 2: Butt Welding, Welding J [J]., vol.79, No.6, pp164s–174s., 2000
J.J. Wang, T. Lin, S. B. Chen, Obtaining of Weld Pool Vision Information during Aluminum Alloy TIG Welding,, The International Journal of Advanced Manufacturing Technology [J], 26(3), pp.224–230, 2005
Ramesh Jain, Rangachar Kasturi, Brian G. Schunck. Machine Vision [M]. China Machine Press & Mc Graw Hill Education Press. 2003.
Pietrzak, K.A., Packer, S.M., Vision-based weld pool width control, ASME Journal of Engineering for Industry [J] 116(2), 86–92, 1994
S. B. Chen, “Visual Information Acquirement and Real-time Control Methodologies for Weld Pool Dynamics during Pulsed GTAW,” The invited paper of the THERMEC’2006, Materials Science Forum vols. 539–543 in March 2007.
G. J. Zhang, S. B. Chen, L. Wu, 2005, “Intelligent control of pulsed GTAW with filler metal,” Welding Journal, vol.80, No.1: pp9s–16s.
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© 2007 Springer-Verlag Berlin Heidelberg
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Wu, J., Chen, S.B. (2007). Software System Designs of Real-Time Image Processing of Weld Pool Dynamic Characteristics. In: Tarn, TJ., Chen, SB., Zhou, C. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Control and Information Sciences, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73374-4_36
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DOI: https://doi.org/10.1007/978-3-540-73374-4_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73373-7
Online ISBN: 978-3-540-73374-4
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