Abstract
For automatic control in plasma welding (PAW), the welding situation must sometimes be observed in real-time. However, the welding quality of PAW depends on the performance of the tracking result. Therefore, to determine gaps in the welding, we developed an image processing method that automatically tracks the weld line. Since the plasma electrode is buried in the torch, visual judgment by the human eye is difficult. This method replaces human sight with a visible automatic profile control that exactly teaches the plasma torch during the welding process. The image processing method for automatic tracking adopts a hybrid optimization process with template matching, which identifies small parts of a welding characteristic image that match the template image. In general, template matching provides a partial quality control. In special cases, the welding gap and its boundary are effectively detected by a boundary detection method, and variable gaps detected in the real-time tracking are analyzed to ensure high-welding quality. In verification trials, our method demonstrated efficient welding work and effectively reduced the false torch guidance.
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References
Moon H-S, Ko S-H, Kim J-C (2009) Automatic seam tracking in pipeline welding with narrow groove. Int J Adv Manuf Technol 41:234–241
Wu CS, Wang L, Ren WJ, Zhang XY (2014) Plasma arc welding: process, sensing, control and modeling. J Manuf Process 16:74–85
Luo H, Chen X (2005) Laser visual sensing for seam tracking in robotic arc welding of titanium alloys. Int J Adv Manuf Technol 26:1012–1017
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 45:490–495
Zhang YM, Liu YC (2003) Modeling and control of quasi-keyhole arc welding process. Control Eng Pract 11:1401–1411
Shen H, Xixia H, Lin T, Shanben C (2009) Weld formation control for arc welding robot. Int J Adv Manuf Technol 44:512–519
Zhou L, Lin T, Chen SB (2006) Autonomous acquisition of seam coordinates for arc welding robot based on visual servo. J Intell Robot Syst 47:239–256
Trushnikov DN, Ya Belenki’y V, Mladenov GM, Portnov NS (2012) Secondary-emission signal for weld formation monitoring and control in electron beam welding (EBW). Mater Werkst 43:892–897
Trushnikov DN, Koleva EG, Mladenov GM, Ya Belenkiy V, Salomatova ES (2013) Weld formation control at electron beam welding with focal spot scanning. Middle-East J Sci Res 16:1062–1068
Zhang GJ, Chen SB, Wu L (2005) Intelligent control of pulsed GTAW with filler metal. Weld J 84(1):9–17
Fan CJ, Chen SB, Lin T (2006) Visual sensing and image processing in aluminum alloy welding: 2006 international conference on robotic welding, intelligence and automation, lecture note in control and information sciences 362:275–280
Wu CS, Jia CB, Chen MA (2010) A control system for keyhole plasma arc welding of stainless steel plates with medium thickness. Weld J 89:224–231
Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69:451–460
Heber M, Lenz M, Rüther M, Bischof H, Fronthaler H, Croonen G (2013) Weld seam tracking and panorama image generation for on-line quality assurance. Int J Adv Manuf Technol 65:1371–1382
Nele L, Sarno E, Keshari A (2013) An image acquisition system for real-time seam tracking. Int J Adv Manuf Technol 69:2099–2110
Zhang SB, Zhang YM (2001) Efflux plasma charge-based sensing and control of joint penetration during keyhole plasma arc welding. Weld J 80:157–162
Zhang YM, Zhang SB, Liu YC (2001) A plasma cloud charge sensor for pulse keyhole process control. Meas Sci Technol 12:1365–1370
Zhang YM, Zhang SB (1999) Observation of the keyhole during plasma arc welding. Weld J 75:53–59
Liu ZM, Wu CS, Gao JQ (2013) Vision-based observation of keyhole geometry in plasma arc welding. Int J Thermal Sci 63:38–45
Wu CS, Liu ZM (2015) Dynamic variation of keyhole exit and its inclination in plasma arc welding. Welding World 59:365–371
Liu ZM, Liu YK, Wu CS, Luo Z (2015) Control of keyhole exit position in plasma arc welding process. Weld J 94:196–202
Liu ZM, Wu CS et al (2015) Keyhole behaviors influence weld defects in plasma arc welding process. Weld J 94:281–290
Huang W, Kovacevic R (2012) Development of a real-time laser-based machine vision system to monitor and control welding processes. Int J Adv Manuf Technol 63:235–248
Steger C, Ulrich M, Wiedemann C (2008) Machine vision algorithms and applications, Japan, pp 207–216
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Wang, W., Yamane, S., Koike, T. et al. Image processing method for automatic tracking of the weld line in plasma robotic welding. Int J Adv Manuf Technol 86, 1865–1872 (2016). https://doi.org/10.1007/s00170-015-8311-8
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DOI: https://doi.org/10.1007/s00170-015-8311-8