Adaptive pass planning and optimization for robotic welding of complex joints

被引:28
作者
Fang, H. C. [1 ]
Ong, S. K. [1 ]
Nee, A. Y. C. [1 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Fac Engn, Singapore 117575, Singapore
关键词
Robotic welding; Multi-pass planning; Pass adjustment; Robot path planning; BEAD GEOMETRY; PREDICTION;
D O I
10.1007/s40436-017-0181-x
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Current industrial robotic welding systems cannot achieve automated solutions for multi-layer multi-pass welding of complex joints due to the presence of non-uniform and irregular welding groove geometries. This paper presents an adaptive pass planning approach for robotic welding of such complex joints. The welding groove is first segmented considering both the variation in groove dimension and the reachability of the robot welding torch. For each welding segment, the welding passes are planned to be in accordance with welding practices, viz., keeping the same number of welding passes in each layer while maintaining consistent welding parameters. An adaptive pass adjustment scheme is developed to address the discrepancies between the simulated results and the actual welding deposition after finishing a few layers of welding. Corresponding robot paths are generated and optimized to ensure minimum joint movement subject to three constraints, viz., reachability, collision-free and singularity avoidance. The proposed approach has been simulated with the arc welding of a Y-type joint found typically in offshore structures.
引用
收藏
页码:93 / 104
页数:12
相关论文
共 21 条
[1]   Overlapping model of beads and curve fitting of bead section for rapid manufacturing by robotic MAG welding process [J].
Cao, Yong ;
Zhu, Sheng ;
Liang, Xiubing ;
Wang, Wanglong .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2011, 27 (03) :641-645
[2]   Novel AR-based interface for human-robot interaction and visualization [J].
Fang, H. ;
Ong, S. ;
Nee, A. .
ADVANCES IN MANUFACTURING, 2014, 2 (04) :275-288
[3]   Robot path planning optimization for welding complex joints [J].
Fang, H. C. ;
Ong, S. K. ;
Nee, A. Y. C. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 90 (9-12) :3829-3839
[4]   Interactive robot trajectory planning and simulation using Augmented Reality [J].
Fang, H. C. ;
Ong, S. K. ;
Nee, A. Y. C. .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (02) :227-237
[5]   Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process [J].
Ganjigatti, J. P. ;
Pratihar, Dilip Kumar ;
Choudhury, A. Roy .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 189 (1-3) :352-366
[6]   The joint-limits and singularity avoidance in robotic welding [J].
Huo, Liguo ;
Baron, Luc .
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2008, 35 (05) :456-464
[7]   The self-adaptation of weights for joint-limits and singularity avoidances of functionally redundant robotic-task [J].
Huo, Liguo ;
Baron, Luc .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2011, 27 (02) :367-376
[8]   A study on prediction of bead height in robotic arc welding using a neural network [J].
Kim, IS ;
Son, JS ;
Park, CE ;
Lee, CW ;
Prasad, YKDV .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 130 :229-234
[9]   A prediction of welding process parameters by prediction of back-bead geometry [J].
Lee, JI ;
Um, KW .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 108 (01) :106-113
[10]  
Lin W, 2015, SPRINGER HDB MANUFAC, P2404