Skip to main content
Log in

Machine vision system for online weld pool observation of gas metal arc welding processes

  • Research Paper
  • Published:
Welding in the World Aims and scope Submit manuscript

Abstract

At the Welding and Joining Institute of the RWTH Aachen University, an optical sensor system which allows the online observation of weld pools when utilising gas metal arc welding (GMAW) processes has been developed. Moreover, an image processing software has been created which provides information about the actual weld pool width as well as the actual position of the gap in relation to the position of the wire electrode. This supplemental process information makes it possible to deduce the width of the resulting weld and the extent of the potential misalignment of the welding torch. One key requirement of the developed system and its algorithms was the assurance of a defined time constraint. If this is given, the GMAW process can be adapted to potential disturbances so that the desired weld quality can be achieved. The system has been successfully tested on typical groove preparations, like fillet welds, butt joints and V-joints. This paper focuses on the setup and the functionality of the machine vision system and the challenges of gaining usable information with simple, fast and reliable algorithms.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Andersen, Chris (2006) Improve welding quality with 3D laser seam-tracking, www.weldingdesign.com, pp. 34–37

  2. Yan, Zhiguo; Xu, De and Li, Yuan (2008) A visual servoing system for the torch alignment to initial welding position, Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 5315, pp. 697–706, Springer Heidelberg

  3. Whang ZZ, Zhang YM (2007) Image processing algorithm for automated monitoring of metal transfer in double-electrode GMAW. Meas Sci Technol 18(7):2048–2058

    Article  Google Scholar 

  4. Yudodibroto, Raden Bagus Yudharto Bharotokusumo (2010) Liquid metal oscillation and arc behaviour during welding, ISBN: 978-90-6464-380-4

  5. Petrov, Peter; Petrov, Georgi; Petrova, Jordanka and Georgiev, Chavdar (2006) Control of the weld pool formation during electron beam welding dissimilar materials, 7th international conference on advanced manufacturing operations, Sozopol

  6. Mnich, Chris; Al-Bayat, Feras; Debrunner, Chris; Steele, John P. H. and Vincent, Tyrone (2004) In situ weld pool measurement using stereovision, Japan–USA symp. on flexible automation (ASME, 19–21 July)

  7. Zou, Yong; Li, Yunhua; Jiang, Lipei and Xue, Long (2011) Weld pool image processing algorithm for seam tracking of welding robot, Proceedings of the 6th IEEE conference on industrial electronics and applications, ICIEA, pp. 161–165

Download references

Acknowledgments

The project IGF 16.954N/03.101 of the research association ‘Schweißen und verwandte Verfahren e.V.’ of the German Welding Society has been supported via the AIF within the scope of the programme for the support of the Industrial Cooperative Research and Development (IGF) by the Federal Ministry of Economics and Technology. The authors would like to thank the above-mentioned institutions for their support. The authors would also like to thank the German Research Foundation DFG for the support of the research work which has been carried out within the Cluster of Excellence Integrative Production Technology for High-Wage Countries.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Purrio.

Additional information

Doc. IIW-2467, recommended for publication by Commission XII "Arc Welding Processes and Production Systems".

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reisgen, U., Purrio, M., Buchholz, G. et al. Machine vision system for online weld pool observation of gas metal arc welding processes. Weld World 58, 707–711 (2014). https://doi.org/10.1007/s40194-014-0152-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40194-014-0152-9

Keywords

Navigation