Fast 3D Pose Estimation Method for High Speed GMAW of Large Box Girders

doi:10.16183/j.cnki.jsjtu.2020.362

Abstract

Abstract:

In the process of high speed gas metal arc welding (GMAW), large box girder has many complex working conditions, such as positioning weld, low assembly accuracy, difficulty in strictly ensuring the pose of workpiece through tooling, real-time change of 3D pose of weld, etc. The vision based weld recognition method has a large amount of calculation and is not aimed at the workpiece with positioning weld, making it difficult to obtain the 3D pose of large box girders quickly. Aimed at this problem, a fast 3D pose estimation method for large box girder based on laser displacement sensing and point cloud clustering was proposed. Using this method, the vertical plane and flat plane of the welding seam of large box girders were obtained by fast segmentation of point cloud. Then, the pose information of welding seam was calculated. A pose information estimation test was conducted for welds with different poses. The results show that when the welding speed is up to 1200 mm/min, the pose error of the weld is less than 0.25 mm and 1.8°respectively. The robustness of the automatic welding of large box girders to complex conditions of positioning weld and low assembly accuracy is enhanced, which greatly improves the welding quality.

Key words: large box girder, gas metal arc welding (GMAW), 3D pose estimation, point cloud segmentation

CLC Number:

TG409

LI Gaoyang, JIA Aiting, HONG Bo, LI Xiangwen, GAO Jiapeng. Fast 3D Pose Estimation Method for High Speed GMAW of Large Box Girders[J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 794-800.

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References 12

[1]	LI G Y, HONG Y X, GAO J P, et al. Welding seam trajectory recognition for automated skip welding guidance of a spatially intermittent welding seam based on laser vision sensor[J]. Sensors, 2020, 20(13): 3657. doi: 10.3390/s20133657 URL
[2]	ZOU Y B, CHEN J X, WEI X Z. Research on a real-time pose estimation method for a seam tracking system[J]. Optics and Lasers in Engineering, 2020, 127: 105947. doi: 10.1016/j.optlaseng.2019.105947 URL
[3]	XUE B C, CHANG B H, PENG G D, et al. A vision based detection method for narrow butt joints and a robotic seam tracking system[J]. Sensors, 2019, 19(5): 1144. doi: 10.3390/s19051144 URL
[4]	GAO X D, HUANG G X, YOU D Y, et al. Magneto-optical imaging deviation model of micro-gap weld joint[J]. Journal of Manufacturing Systems, 2017, 42: 82-92. doi: 10.1016/j.jmsy.2016.11.005 URL
[5]	乐健, 张华, 叶艳辉, 等. 基于旋转电弧传感机器人立焊焊缝的跟踪[J]. 上海交通大学学报, 2015, 49(3): 348-352.
	LE Jian, ZHANG Hua, YE Yanhui, et al. Robot tracking of vertical welding seam based on rotating arc sensor[J]. Journal of Shanghai Jiao Tong University, 2015, 49(3): 348-352.
[6]	XIAO R Q, XU Y L, HOU Z, et al. An adaptive feature extraction algorithm for multiple typical seam tracking based on vision sensor in robotic arc welding[J]. Sensors and Actuators A: Physical, 2019, 297: 111533. doi: 10.1016/j.sna.2019.111533 URL
[7]	XU Y L, LV N, FANG G, et al. Welding seam tracking in robotic gas metal arc welding[J]. Journal of Materials Processing Technology, 2017, 248: 18-30. doi: 10.1016/j.jmatprotec.2017.04.025 URL
[8]	ZOU Y B, WANG Y B, ZHOU W L, et al. Real-time seam tracking control system based on line laser visions[J]. Optics & Laser Technology, 2018, 103: 182-192.
[9]	万家山, 陈蕾, 吴锦华, 等. 基于KD-Tree聚类的社交用户画像建模[J]. 计算机科学, 2019, 46(Sup.1): 442-445.
	WAN Jiashan, CHEN Lei, WU Jinhua, et al. Persona based social user modeling using KD-tree[J]. Computer Science, 2019, 46(Sup.1): 442-445.
[10]	薛连杰, 齐臣坤, 张彪, 等. 基于3维点云欧氏聚类和RANSAC边界拟合的目标物体尺寸和方位识别[J]. 机械设计与研究, 2018, 34(5): 44-48.
	XUE Lianjie, QI Chenkun, ZHANG Biao, et al. Object size and orientation recognition based on 3D point cloud euclideam clustering and RANSAC boundary fitting[J]. Machine Design & Research, 2018, 34(5): 44-48.
[11]	周鹏, 程艳云. 一种改进的LOF异常点检测算法[J]. 计算机技术与发展, 2017, 27(12): 115-118.
	ZHOU Peng, CHENG Yanyun. An improved LOF outlier detection algorithm[J]. Computer Technology and Development, 2017, 27(12): 115-118.
[12]	郑健, 张轲, 罗志锋, 等. 基于空间直线约束的焊接机器人手眼标定[J]. 焊接学报, 2018, 39(8): 108-113.
	ZHENG Jian, ZHANG Ke, LUO Zhifeng, et al. Hand-eye calibration of welding robot based on the constraint of spatial line[J]. Transactions of the China Welding Institution, 2018, 39(8): 108-113.