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A Vision-Based Seam Tracking System for Submerged Arc Welding

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Robotic Welding, Intelligence and Automation

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 362))

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Abstract

Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system’s working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly

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Author information

Authors and Affiliations

  1. Key Laboratory of Complex System and Intelligent Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China

    Zhiguo Yan, De Xu, Yuan Li & Min Tan

  2. Graduate University of Chinese Academy of Science, Beijing, 100080, P.R. China

    Zhiguo Yan, De Xu, Yuan Li & Min Tan

Authors
  1. Zhiguo Yan
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  2. De Xu
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  3. Yuan Li
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  4. Min Tan
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Editor information

Editors and Affiliations

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

    Tzyh-Jong Tarn

  2. Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P.R. China

    Shan-Ben Chen

  3. Advanced Robotics and Intelligent Control Centre (ARICC), School of Electrical and Electronic Engineering, Singapore Polytechnic, 500 Dover Road, Singapore, 139651, Singapore

    Changjiu Zhou

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© 2007 Springer-Verlag Berlin Heidelberg

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Yan, Z., Xu, D., Li, Y., Tan, M. (2007). A Vision-Based Seam Tracking System for Submerged Arc Welding. 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_42

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  • DOI: https://doi.org/10.1007/978-3-540-73374-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73373-7

  • Online ISBN: 978-3-540-73374-4

  • eBook Packages: EngineeringEngineering (R0)

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