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Vision-based control of wire extension in GMA welding

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Abstract

This paper presents a vision-based approach for wire extension measurement and melt pool detection. The image analysis applies on the image sequences, which are extracted from a recorded welding video. The algorithms have been developed using the image processing combining profile analysis, intensity thresholding, region growing, filtering, and morphology. The goal is to use these computed parameters to help in welding control and defect examination. The software runs automatically and has been verified on various videos from different welding experiments. The resulting data are also represented and compared with chronological knowledge to improve the reliability of the system.

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Authors and Affiliations

  1. ICB laboratory UMR 6303 CNRS University of Burgundy, 12 rue de la Fonderie, 71200, Le Creusot, France

    Intuon Lertrusdachakul & Alexandre Mathieu

  2. LE2I laboratory UMR 6306 CNRS University of Burgundy, 12 rue de la Fonderie, 71200, Le Creusot, France

    Olivier Aubreton

Authors
  1. Intuon Lertrusdachakul
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  2. Alexandre Mathieu
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  3. Olivier Aubreton
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Correspondence to Intuon Lertrusdachakul.

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Lertrusdachakul, I., Mathieu, A. & Aubreton, O. Vision-based control of wire extension in GMA welding. Int J Adv Manuf Technol 78, 1201–1210 (2015). https://doi.org/10.1007/s00170-014-6290-9

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  • DOI: https://doi.org/10.1007/s00170-014-6290-9

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