Tracking and height control in plasma robotic welding using digital CCD camera

  • Weixi Wang
  • Satoshi Yamane
  • Hikaru Suzuki
  • Jiro Toma
  • Kazumichi Hosoya
  • Toru Nakajima
  • Hikaru Yamamoto
ORIGINAL ARTICLE

Abstract

An image processing method that automatically tracks the weld line during plasma robotic welding has been developed, with self-regulated standoff of the torch. The hiding of the plasma electrode in the torch poses a positional problem to human engineers. Therefore, this method replaces human sight with a visible automatic control that teaches the exact position of the plasma torch. The image processing method for automatic tracking is optimized by a hybrid process that involves an improved threshold method and height control. The threshold method exploits multiple thresholds to raise the precision of boundary detection and improve the welding quality. The height control method effectively maintains a constant standoff of the plasma torch. The correct standoff, which maintains the keyhole while ensuring stable and optimal welding, was determined in numerous basic experiments. The proposed method largely improves the efficiency of welding work and effectively reduces the negative consequences of false torch guidance.

Keywords

Plasma robotic welding Profile control Height control Image processing MATLAB/Simulink 

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References

  1. 1.
    Prasad KS, Chalamalasetti SR, Damera NR (2015) Application of grey relational analysis for optimizing weld bead geometry parameters of pulsed current micro plasma arc welded inconel 625 sheets. Int J Adv Manuf Technol 78:625–632CrossRefGoogle Scholar
  2. 2.
    Meco S, Pardal G, Alexander E, Quintino L (2013) Software development for prediction of the weld bead in CMT and pulsed-MAG processes. Int J Adv Manuf Technol 64:171–178CrossRefGoogle Scholar
  3. 3.
    Huang H-Y (2010) Research on the activating flux gas tungsten arc welding and plasma arc welding for stainless steel. Met Mater Int 16:819–825CrossRefGoogle Scholar
  4. 4.
    Dai J, Wang X, Yang L, Huang J, Zhang Y, Chen J (2014) Study of plasma in laser welding of magnesium alloy. Int J Adv Manuf Technol 73:443–447CrossRefGoogle Scholar
  5. 5.
    Ahiale GK, Yong-Jun O, Choi W-D, Lee K-B, Jung J-G, Nam SW (2013) Microstructure and fatigue resistance of high strength dual phase steel welded with gas metal arc welding and plasma arc welding processes. Met Mater Int 19:933–939CrossRefGoogle Scholar
  6. 6.
    Liu ZM, Wu CS, Chen MA (2014) Experimental sensing of the keyhole exit deviation from the torch axis in plasma arc welding. Int J Adv Manuf Technol 71:1209–1219CrossRefGoogle Scholar
  7. 7.
    Stelling K, Schobbert H, Kannengiesser T, Boellinghaus T (2005) Vertical-up and -down laser plasma powder hybrid welding of a high nitrogen austenitic stainless steel. Weld World 49:45–49CrossRefGoogle Scholar
  8. 8.
    Yamanoto H (2004) JWES Joining welding technology Q&A 1000, The Japan Welding Engineering Society Web. . http://www-it.jwes.or.jp/qa/details.jsp?pg_no = 0070020020
  9. 9.
    Moon H-S, Ko S-H, Kim J-C (2009) Automatic seam tracking in pipeline welding with narrow groove. Int J Adv Manuf Technol 41:234–241CrossRefGoogle Scholar
  10. 10.
    Wu CS, Wang L, Ren WJ, Zhang XY (2014) Plasma arc welding: process, sensing, control and modeling. J Manuf Process 16:74–85CrossRefGoogle Scholar
  11. 11.
    Luo H, Chen X (2005) Laser visual sensing for seam tracking in robotic arc welding of titanium alloys. Int J Adv Manuf Technol 26:1012–1017CrossRefGoogle Scholar
  12. 12.
    Fleming PA, Hendricks CE, Wilkes DM, Cook GE, Strauss AM (2009) Automatic seam-tracking of friction stir welded T-joints. Int J Adv Manuf Technol 45:490–495CrossRefGoogle Scholar
  13. 13.
    Zhang YM, Liu YC (2003) Modeling and control of quasi-keyhole arc welding process. Control Eng Pract 11:1401–1411CrossRefGoogle Scholar
  14. 14.
    Shen H, Xixia H, Lin T, Shanben C (2009) Weld formation control for arc welding robot. Int J Adv Manuf Technol 44:512–519CrossRefGoogle Scholar
  15. 15.
    Zhou L, Lin T, Chen SB (2006) Autonomous acquisition of seam coordinates for arc welding robot based on visual servo. J Intell Robot Syst 47:239–256CrossRefGoogle Scholar
  16. 16.
    Trushnikov DN, Belenki’y VY, Mladenov GM, Portnov NS (2012) Secondary-emission signal for weld formation monitoring and control in electron beam welding (EBW). Mater Werkst 43:892–897CrossRefGoogle Scholar
  17. 17.
    Trushnikov DN, Koleva EG, Mladenov GM, Belenkiy VY, Salomatova ES (2013) Weld formation control at electron beam welding with focal spot scanning. Middle-East J Sci Res 16:1062–1068Google Scholar
  18. 18.
    Zhang GJ, Chen SB, Wu L (2005) Intelligent control of pulsed GTAW with filler metal. Weld J 84(1):9–17Google Scholar
  19. 19.
    Fan CJ, Chen SB, Lin T (2006) Visual sensing and image processing in aluminum alloy welding: 2006 International Conference on Robotic Welding. Int Autom Lect Note Control Inf Sci 362:275–280Google Scholar
  20. 20.
    Sebestova H, Chmelickova H, Nozka L, Moudry J (2012) Non-destructive real time monitoring of the laser welding process. J Mater Eng Perform 21:764–769CrossRefGoogle Scholar
  21. 21.
    Lv N, Zhong J, Chen H, Lin T, Chen S (2014) Real-time control of welding penetration during robotic GTAW dynamical process by audio sensing of arc length. Int J Adv Manuf Technol 74:235–249CrossRefGoogle Scholar
  22. 22.
    Xia P, Yan F, Kong F, Wang C, Liu J, Hu X, Pang S (2014) Prediction of weld shape for fiber laser keyhole welding based on finite element analysis. Int J Adv Manuf Technol 75:363–372CrossRefGoogle Scholar
  23. 23.
    Chen S-B, Wu J (2009) Visual sensing systems for arc welding process. Int Methodol Arc Weld Dyn Process 29(35):55Google Scholar
  24. 24.
    Xu Y, Lv N, Fang G, Lin T, Chen H, Chen S, Yu H (2015) Sensing technology for intelligentized robotic welding in arc welding processes. Robot Weld Int Autom 363:411–423CrossRefGoogle Scholar
  25. 25.
    Yamane S, Yamamoto H, Ishihara T, Kubota T, Eguchi K, Oshima K (2004) Adaptive control of back bead in V groove welding without backing plate. Sci Technol Weld Join 9:138–148CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Weixi Wang
    • 1
  • Satoshi Yamane
    • 1
  • Hikaru Suzuki
    • 1
  • Jiro Toma
    • 1
  • Kazumichi Hosoya
    • 2
  • Toru Nakajima
    • 2
  • Hikaru Yamamoto
    • 2
  1. 1.Graduate School of Science and EngineeringSaitama UniversitySaitamaJapan
  2. 2.Hitachi Construction Machinery Co., Ltd.IbarakiJapan

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