Seam tracking of large pipe structures for an agile robotic welding system mounted on scaffold structures

被引:28
作者
Chen, Xiaohan [1 ]
Dharmawan, Audelia Gumarus [1 ]
Foong, Shaohui [1 ]
Soh, Gim Song [1 ]
机构
[1] Singapore Univ Technol & Design, Engn Prod Dev, Singapore 487372, Singapore
关键词
Localization; Seam tracking; Path planning; LOCALIZATION; VISION; ALGORITHMS;
D O I
10.1016/j.rcim.2017.09.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper proposes a seam tracking technique for an agile robotic system for automated welding of large pipe structures at elevated heights. The welding system is designed to adapt to the scaffold structure which is generally erected around large workpieces. Large intersecting pipe structures are selected as the welding target because of their complex curved seams and wide applications in jackup oil rig manufacturing. A pipe localization method using only two profile scans is proposed to effectively localize the pipe and compute the initial location of the weld seam. The initial weld seam is then refined by a correction procedure to minimize the kinematic errors caused by base compliance, sensor measurement and system calibration. Subsequently, the seam is tracked to maintain a constant weld speed. Experimental results in a laboratory simulated environment show the feasibility of both the proposed seam tracking method and the concept of the agile robotic welding system for such applications. The precision of the mean tracking error for this system was found to be within 0.14 mm and 0.06 mm of the tool x and z axis respectively, (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:242 / 255
页数:14
相关论文
共 35 条
  • [1] Ahmed SM, 2016, 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), P2610, DOI 10.1109/IROS.2016.7759406
  • [2] ARMADA M, 2005, MARITIME RES, V2, P9
  • [3] Design and analysis of a welding robot
    Bahrami-Samani, Mehrdad
    Agahi, Maryam
    Moosavian, S. Ali A.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2, 2006, : 454 - +
  • [4] A new seam-tracking algorithm through characteristic-point detection for a portable welding robot
    Chang, Doyoung
    Son, Donghoon
    Lee, Jungwoo
    Lee, Donghun
    Kim, Tae-wan
    Lee, Kyu-Yeul
    Kim, Jongwon
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (01) : 1 - 13
  • [5] Laser vision sensing based on adaptive welding for aluminum alloy
    Chen Zhixiang
    Song Yonglun
    Zhang Jun
    Zhang Wanchun
    Jiang Li
    Xia Xuxin
    [J]. FRONTIERS OF MECHANICAL ENGINEERING, 2007, 2 (02) : 218 - 223
  • [6] Workpiece localization algorithms: Performance evaluation and reliability analysis
    Chu, YX
    Gou, JB
    Li, ZX
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 1999, 18 (02) : 113 - 126
  • [7] Cignoni P, 2008, P EUR IT CHAPT C SAL, P129, DOI [DOI 10.2312/LOCALCHAPTEREVENTS/ITALCHAP/ITALIANCHAPCONF2008, 10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2008/129-136, DOI 10.2312/LOCALCHAPTEREVENTS/ITALCHAP/ITALIANCHAPCONF2008/129-136]
  • [8] Real-time seam tracking for robotic laser welding using trajectory-based control
    de Graaf, Menno
    Aarts, Ronald
    Jonker, Ben
    Meijer, Johan
    [J]. CONTROL ENGINEERING PRACTICE, 2010, 18 (08) : 944 - 953
  • [9] Delara R., 2004, International Archives of XXth ISPRS Congress, P13
  • [10] Dharmawan A.G., 2015, P ASME INT DES ENG T