Advanced Search
YU Zhuohua, HU Yanmei, HE Yinshui. Effective three-dimensional deviation extraction of the welding torch for robotic arc welding with steel sheets[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(11): 49-53. DOI: 10.12073/j.hjxb.2019400287
Citation: YU Zhuohua, HU Yanmei, HE Yinshui. Effective three-dimensional deviation extraction of the welding torch for robotic arc welding with steel sheets[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(11): 49-53. DOI: 10.12073/j.hjxb.2019400287

Effective three-dimensional deviation extraction of the welding torch for robotic arc welding with steel sheets

More Information
  • Received Date: August 31, 2018
  • Three-dimensional (3D) deviation extraction of the welding torch for the automated welding process is a prerequisite in robotic intelligentized arc welding. In this paper, with the welding robot meal active gas (MAG) arc welding method was used to join steel sheets with micro grooves. Passive vision sensors with the appropriate combination of the filter and dimmer glass were used to capture images which contained complete arc regions, edge lines of the seam, and joint lines. An effective algorithm was then proposed to directly extract the seam line of the butt joint. To determine the tracking point at each sampling time the real-time position of the welding torch was first signed with the geometric center of the arc region. Then, another algorithm was suggested to determine the tracking point that lies in the extracted seam line. It was transformed into the world coordinate using existing vision calibrated techniques, and the 3D deviation was yielded when the exact position of the welding torch in the world coordinate system had been recorded from the control system of the welding robot. Experimental results show that the proposed method in this paper can effectively acquire the 3D deviation of the welding torch in real time.
  • Xu Y, Lü N, Fang G, et al. Welding seam tracking in robotic gas metal arc welding[J]. Journal of Materials Processing Technology, 2017, 248:18-30.
    Guo B, Shi Y, Yu G, et al. Weld deviation detection based on wide dynamic range vision sensor in MAG welding process[J]. International Journal of Advanced Manufacturing Technology, 2016, 87(9-12):3397-3410.
    Xu Y, Fang G, Chen S, et al. Real-time image processing for vision-based weld seam tracking in robotic GMAW[J]. International Journal of Advanced Manufacturing Technology, 2014, 73(9-12):1413-1425.
    Xu Y, Yu H, Zhong J, et al. Real-time seam tracking control technology during welding robot GTAW process based on passive vision sensor[J]. Journal of Materials Processing Technology, 2012, 212(8):1654-1662.
    Yong Z, Jiang L, Yunhua L, et al. Welding deviation detection algorithm based on extremum of molten pool image contour[J]. Chinese Journal of Mechanical Engineering, 2016, 29(1):74-83.
    Gao X, Mo L, You D, et al. Tight butt joint weld detection based on optical flow and particle filtering of magneto-optical imaging[J]. Mechanical Systems & Signal Processing, 2017, 96:16-30.
    欧志辉, 孙振国. 基于区域连通滤波的薄板焊缝跟踪图像处理算法[J]. 焊接, 2016(12):37-40 Ou Zhihui, Sun Zhenguo. An image processing algorithm based on regional connectivity filtering of sheet weld track[J]. Welding & Joining, 2016(12):37-40
    何银水, 陈华斌, 张华军, 等. 基于方向显著性的T形接头厚板机器人焊接焊缝轮廓的提取[C]//第二十次全国焊接学术会议论文集, 兰州, 甘肃, 机械工业出版社, 2015, 318– 323.
    何银水, 孔萌, 陈华斌, 等. 基于视觉注意机制的机器人厚板焊接焊缝轮廓的识别[J]. 焊接学报, 2015, 36(12):51-55 He Yinshui, Kong Meng, Chen Huabin, et al. Weld seam profile identification based on visual attention mechanism in robotic thick-plate welding[J]. Transactions of the China Welding Institution, 2015, 36(12):51-55
    何银水, 胡兆吉, 胡宗梅, 等. 改进的近邻聚类算法用于水下焊缝图像的识别[J]. 电焊机, 2013, 43(5):89-92 He Yinshui, Hu Zhaoji, Hu Zongmei, et al. An improved algorithm of close neighbor clustering was used on underwater weld recognition[J]. Electric Welding Machine, 2013, 43(5):89-92
  • Related Articles

    [1]ZHOU Yang, QI Bojin. Controlled stability of variable polarity welding current in VPPAW process[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(4): 16-25. DOI: 10.12073/j.hjxb.20211215003
    [2]HAN Yongquan, ZHANG Shiquan, PANG Shigang, HONG Haitao. Arc behavior during variable polarity TIG welding of aluminum alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(9): 51-54,59.
    [3]CHENG Lin, HU Shengsun, WANG Zhijiang. Arc pressure analysis in variable polarity TIG welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(11): 101-104.
    [4]HAN Yongquan, DU Maohua, CHEN Shujun, WU Yongjun, SHI Yan. Process control of variable polarity keyhole plasma arc welding for aluminum alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2010, (11): 93-96.
    [5]DING Kun, YAO Heqing, FAN Xinghui, WANG Shouyan. Welding arc load characteristics of variable polarity TIG welding and its control strategy at commutation[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (9): 31-34.
    [6]HAN Yongquan, CHEN Shujun, YIN Shuyan, SONG Cheng. Arc stability and its control of VPPA[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (4): 18-20.
    [7]LI Zhi-ning, DU Dong, WANG Li, LIU Xian-li, BAI Jin-bing. Varived damp phenomena of commutation progress in variable polarity plasma arc welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (11): 9-12.
    [8]CHEN Ke-xuan, LI He-qi, LI Chun-xu. Progress in variable polarity plasma arc welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (1): 124-128.
    [9]Geng Zheny, Zhang Guangjun, Deng Yuanzhao, Li Liqun, Yin Shuyan. Processing Property of Variable Polarity power in TIG Arc Welding of Aluminium Alloys[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1997, (4): 232-237.
    [10]Geng Zheng, Yin Shuyian, Wang Qilong. Development of variable polarity welding power source for Al alloy TIG welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1994, (3): 179-184.

Catalog

    Article views (423) PDF downloads (66) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return