Skip to main content

An Optimal Design of Multifunctional Vision Sensor System for Welding Robot

  • Conference paper

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

Abstract

To meet the requirements for automation of welding robot, the author suggests an optimal design of multifunctional vision sensor system for welding robot, which have many features, such as remote controling, resisting disturbance from arc, welding environment identifying, initial welding seam guiding, seam tracking, penetration controlling and so on. The vision sensor is used to acquire some ideal images of stainless steel welding process experiments. It will set up the foundation for the later robot welding quality control. The multifunctional vision sensor presented in the paper is showing important practical value as it is simple in construction, low in cost and strong in practicability.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, S.B., Wu, L.: The Theory and Technology of Intelligent Robot Welding. Robot 19(sup.), 4–7 (1997)

    Google Scholar 

  2. Lin, S.Y., Chen, S.B., Li, C.: Welding Robot and Its Application, pp. 3–11. Mechanical Industry Press, Beijing (2000)

    Google Scholar 

  3. Huang, z.-y.: Application Status and Technology Prospect of Welding Robot. Equipment Manufacturing Technology (3), 46 (2007)

    Google Scholar 

  4. Chen, S.B., Lin, T.: The Technology of Intelligent Welding Robot. Mechanical Industry Press, Beijing (2006)

    Google Scholar 

  5. He, Y., et al.: The Information Fusion and Application of Multi-sensor. Electronic Industry Press, Beijing (2000)

    Google Scholar 

  6. Luo, Z.Z., Jiang, J.P.: Robot Vision and Information Fusion. Science Press, Beijing (2002)

    Google Scholar 

  7. Yang, W.H.: Multi-sensor Data Fusion and Its Application. Xidian University Press, Xian (2004)

    Google Scholar 

  8. Chen, Q., Sun, Z.G.: The Application of Computer Vision Sensor Technology in Welding. Journal of Welding 22(1), 83–91 (2001)

    Google Scholar 

  9. Guo, Z. M.: Study of Autonomous Guidance of Initial Welding Position Based on Vision Sensing [ph.d.thesis], Haerbin, Harbin Industrial University (2002)

    Google Scholar 

  10. Zhu, Z.Y.: Identification and Initial Guiding of Welding Robot on Vision Sensor [ph.d.thesis], Shanghai, Shanghai Jiaotong University (2004)

    Google Scholar 

  11. Chen, S.B., Zhang, Y., et al.: Welding Robotic Systems with Vision Sensing and Self-learning Neuron Control of Arc Weld Dynamic Process. J. of Intelligent and Robotic Systems 36(2), 191–208 (2003)

    Article  Google Scholar 

  12. Chen, S.B., Chen, X.Z., Li, J.Q.: The Research on Acquisition of Welding Seam Space Position Information for Arc Welding Robot Based on Vision. J. of Intelligent & Robotic Systems 43(1), 77–97 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, Y., Kong, X., Chen, S. (2011). An Optimal Design of Multifunctional Vision Sensor System for Welding Robot. 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_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19959-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19958-5

  • Online ISBN: 978-3-642-19959-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics