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Application of Fuzzy Edge Detection in Weld Seam Tracking System

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Book cover Robotic Welding, Intelligence and Automation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 88))

Abstract

Vision sensing is one of the most powerful non-contact sensing technologies used for the monitoring and automatic control of welding process. The effectiveness of image processing in vision sensing is the base for successful welding seam tracking. This paper introduces a welding seam tracking system which includes an arc welding robot, an image acquisition unit and an image processing system. An image processing algorithm based on fuzzy theory is presented in detail. Experimental results show that this method can properly detect the edges of welding seams.

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References

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Zhenyu Xiong & Jiluan Pan

  2. School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang, Jiangxi, 330063, China

    Zhenyu Xiong & Wen Wan

Authors
  1. Zhenyu Xiong
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  2. Wen Wan
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  3. Jiluan Pan
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Editor information

Editors and Affiliations

  1. Washington University, Cupples 2, Room 103, Campus Box 1040, 63130, St. Louis, Missouri, USA

    Tzyh-Jong Tarn

  2. Intelligentized Robotic Welding Technology Laboratory, School of Materials Sci. and Engg, 800 Dongchuan Road, 200240, Shanghai, P.R. China

    Shan-Ben Chen

  3. School of Engineering, University of Western Sydney, Locked Bag 1797, 1797, NSW, Australia

    Gu Fang

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© 2011 Springer-Verlag Berlin Heidelberg

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Xiong, Z., Wan, W., Pan, J. (2011). Application of Fuzzy Edge Detection in Weld Seam Tracking System. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-19959-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19958-5

  • Online ISBN: 978-3-642-19959-2

  • eBook Packages: EngineeringEngineering (R0)

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