Abstract
In order to reduce the welding cost, improve the welding quality, and enhance the automation level of the welding, the circular fillet weld tracking algorithm was studied based on the coordinated movement between wheels and a horizontal slider, and the tracking algorithm can eliminate the impact on the welding quality due to roundness errors of the circular fillet weld in the plane. Furthermore, the circular fillet weld tracking algorithm was studied based on the vertical slider moving up or down, and this algorithm can eliminate the influence on the welding quality due to flatness errors of the circular fillet weld in the vertical direction. By using the circular fillet weld tracking algorithm that robots track the circular fillet weld based on the coordinated movement among wheels, the vertical and horizontal sliders, a large number of experiments have been done in the laboratory and the factory. For example, robots tracked the circular fillet weld with different diameters in the laboratory, and the circular fillet weld of the flat bottom container was tracked by robots in the factory. At last, the deviation that the arc welding gun deviated from the weld seam was analyzed, and the experimental results show that the robot based on the rotating arc sensor can track the circular fillet weld with high accuracy and good reliability by using the designed algorithm in gas metal arc welding.
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References
Chen B, Feng JC (2014) Modeling of underwater wet welding process based on visual and arc sensor. Ind Robot-An Int J 41(3):311–317
Xu YL, Yu HW, Zhong JY, Lin T, Chen SB (2012) Real-time seam tracking control technology during welding robot GTAW process based on passive vision sensor. J Mater Process Technol 212(8):1654–1662
Shen HY, Lin T, Chen SB, Li LP (2010) Real-time seam tracking technology of welding robot with visual sensing. J Intell Robot Syst 59(3):283–298
Xu YL, Lv N, Zhong JY, Chen HB, Chen SB (2012) Research on the real-time tracking information of three-dimension welding seam in robotic GTAW process based on composite sensor technology. J Intell Robot Syst 68(2):89–103
Wang XW (2014) Three-dimensional vision-based sensing of GTAW a review. Int J Adv Manuf Technol 72(1):333–345
Ku N, Cha JH, Lee KY, Kim J, Kim TW, Ha S, Lee D (2010) Development of a mobile welding robot for double-hull structures in shipbuilding. J Mar Sci Technol 15(4):374–385
Liu SY, Wang GR, Zhang H, Jia JP (2010) Design of robot welding seam tracking system with structured light vision. Chin J Mech Eng 23(4):436–442
Nele L, Sarno E, Keshari A (2013) An image acquisition system for real-time seam tracking. Int J Adv Manuf Technol 69(9):2099–2110
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(1):451–460
Xu YL, Fang G, Lv N, Chen SB, Zou JJ (2015) Computer vision technology for seam tracking in robotic GTAW and GMAW. Robot Comput Integr Manuf 32(2):25–36
Chen B, Chen SB (2010) Multi-sensor information fusion in pulsed GTAW based on fuzzy measure and fuzzy integral. Assem Autom 30(3):276–285
Xu YL, Zhong JY, Ding MY, Chen HB, Chen SB (2013) The acquisition and processing of real-time information for height tracking of robotic GTAW process by arc sensor. Int J Adv Manuf Technol 65(5):1031–1043
Chen B, Wang JF, Chen SB (2010) A study on application of multi-sensor information fusion in pulsed GTAW. Ind Robot-An Int J 37(2):168–176
Le J, Zhang H, Ye YH (2015) Fillet weld tracking based on rotating arc sensor. Transac China Weld Inst 36(5):5–9
Gao YF, Zhang H, Mao ZW (2009) Welding gun inclination detection and curved fillet weld joint tracking. Weld J 88(3):45s–53s
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Le, J., Zhang, H. & Xiao, Y. Circular fillet weld tracking in GMAW by robots based on rotating arc sensors. Int J Adv Manuf Technol 88, 2705–2715 (2017). https://doi.org/10.1007/s00170-016-8990-9
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DOI: https://doi.org/10.1007/s00170-016-8990-9