Welding Seam Trajectory Recognition for Automated Skip Welding Guidance of a Spatially Intermittent Welding Seam Based on Laser Vision Sensor

被引:28
|
作者
Li, Gaoyang [1 ]
Hong, Yuxiang [2 ]
Gao, Jiapeng [1 ]
Hong, Bo [1 ]
Li, Xiangwen [1 ]
机构
[1] Xiangtan Univ, Key Lab Hunan Prov Welding Robot & Its Applicat, Xiangtan 411105, Peoples R China
[2] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
automated skip welding; spatially intermittent welding seam; complex box girder structures; laser scanning displacement sensor; Euclidean distance discrimination; STEREO VISION; TRACKING; SYSTEM; IDENTIFICATION; GTAW; CAD;
D O I
10.3390/s20133657
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
To solve the problems of low teaching programming efficiency and poor flexibility in robot welding of complex box girder structures, a method of seam trajectory recognition based on laser scanning displacement sensing was proposed for automated guidance of a welding torch in the skip welding of a spatially intermittent welding seam. Firstly, a laser scanning displacement sensing system for measuring angles adaptively is developed to detect corner features of complex structures. Secondly, a weld trajectory recognition algorithm based on Euclidean distance discrimination is proposed. The algorithm extracts the shape features by constructing the characteristic triangle of the weld trajectory, and then processes the set of shape features by discrete Fourier analysis to solve the feature vector used to describe the shape. Finally, based on the Euclidean distance between the feature vector of the test sample and the class matching library, the class to which the sample belongs is identified to distinguish the weld trajectory. The experimental results show that the classification accuracy rate of four typical spatial discontinuous welds in complex box girder structure is 100%. The overall processing time for weld trajectory detection and classification does not exceed 65 ms. Based on this method, the field test was completed in the folding special container production line. The results show that the system proposed in this paper can accurately identify discontinuous welds during high-speed metal active gas arc welding (MAG) welding with a welding speed of 1.2 m/min, and guide the welding torch to automatically complete the skip welding, which greatly improves the welding manufacturing efficiency and quality stability in the processing of complex box girder components. This method does not require a time-consuming pre-welding teaching programming and visual inspection system calibration, and provides a new technical approach for highly efficient and flexible welding manufacturing of discontinuous welding seams of complex structures, which is expected to be applied to the welding manufacturing of core components in heavy and large industries such as port cranes, large logistics transportation equipment, and rail transit.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 50 条
  • [21] A study on an accurate seam detecting sensor for laser welding automation
    Park, JR
    Park, JW
    Boo, K
    ADVANCES IN NONDESTRUCTIVE EVALUATION, PT 1-3, 2004, 270-273 : 2351 - 2356
  • [22] AUTOMATED WELDING USING SPACIAL SEAM TRACING
    BOLLINGE.JG
    HARRISON, HL
    WELDING JOURNAL, 1971, 50 (11) : 787 - &
  • [23] Weld seam fitting and welding torch trajectory planning based on NURBS in intersecting curve welding
    Liu, Yan
    Shi, Lei
    Tian, Xincheng
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 95 (5-8): : 2457 - 2471
  • [24] Weld seam fitting and welding torch trajectory planning based on NURBS in intersecting curve welding
    Tian, Xincheng (txch@sdu.edu.cn), 1600, Springer London (95): : 5 - 8
  • [25] Weld seam fitting and welding torch trajectory planning based on NURBS in intersecting curve welding
    Yan Liu
    Lei Shi
    Xincheng Tian
    The International Journal of Advanced Manufacturing Technology, 2018, 95 : 2457 - 2471
  • [26] Robotic laser welding: seam sensor and laser focal frame registration
    Huissoon, JP
    ROBOTICA, 2002, 20 (03) : 261 - 268
  • [27] High Seam Surface Quality in Keyhole Laser Welding: Buttonhole Welding
    Schultz, Villads
    Woizeschke, Peer
    JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2018, 2 (04):
  • [28] Welding Seam Detection and Feature Point Extraction for Robotic Arc Welding Using Laser-Vision
    Sun, Jun-Di
    Cao, Guang-Zhong
    Huang, Su-Dan
    Chen, Ken
    Yang, Jun-Jun
    2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 644 - 647
  • [29] A method for measuring the width of welding seam based on machine vision
    Jin Wei
    Sun Hai-bin
    AOPC 2020: OPTICS ULTRA PRECISION MANUFACTURING AND TESTING, 2020, 11568
  • [30] Welding Seam Defect Detection for Canisters Based on Computer Vision
    Shen, Zhenjie
    Sun, Jun
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 788 - 793