Advanced Search
YANG Guowei, ZHANG Jinli. Three-dimensional measurement of post-weld surface based on grating projection[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(4): 100-105, 112. DOI: 10.12073/j.hjxb.20210724001
Citation: YANG Guowei, ZHANG Jinli. Three-dimensional measurement of post-weld surface based on grating projection[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(4): 100-105, 112. DOI: 10.12073/j.hjxb.20210724001

Three-dimensional measurement of post-weld surface based on grating projection

More Information
  • Received Date: July 23, 2021
  • Available Online: May 31, 2022
  • The three-dimensional contour of the weld surface is an important index to evaluate the quality of the weld. In response to the problem that the measurement speed and accuracy cannot be balanced when the weld is measured by the commonly used line structured light scanning, a weld three-dimensional profile measurement system based on the surface structured light grating projection is designed and built. Firstly, the grating fringe is projected onto the weld through a digital light processing(DLP) projector, and the camera acquires the deformation modulation fringe. The phase of the deformed grating fringe is accurately calculated and unwrapped by using the four-step phase-shifting method combined with the multi-frequency heterodyne time-domain phase-resolving algorithm. Then, using a planar target combined with a high precision moving platform to obtain space coordinate data to calibrate the model parameters. The calibration method has high precision, strong operability and stable structure. Finally, the spatial phase mapping model is used to convert the phase information of the weld to the height information, and the measurement of the three-dimensional profile of the weld is realized. The test results show that this measurement method can well represent the detailed information of the weld, the measurement results are accurate, and the measurement accuracy can reach 0.096 8 mm, which can provide reliable data for the appearance inspection and evaluation of the post-weld.
  • 伏喜斌, 林三宝, 杨春利, 等. 基于激光视觉传感的焊后检测技术研究综述[J]. 焊接, 2007(6): 24 − 27. doi: 10.3969/j.issn.1001-1382.2007.06.006

    Fu Xibin, Lin Sanbao, Yang Chunli, et al. Summary of research on post-weld inspection technology based on laser vision Sensor[J]. Welding & Joining, 2007(6): 24 − 27. doi: 10.3969/j.issn.1001-1382.2007.06.006
    Li Yan, Hu Miao, Wang Taiyong. Visual inspection of weld surface quality[J]. Journal of Intelligent & Fuzzy Systems, 2020, 39(4): 1 − 10.
    周兆逸, 张亚南, 王肖锋, 等. 基于改正二维主成分分析的焊缝表面缺陷检测[J]. 焊接学报, 2021, 42(11): 70 − 76.

    Zhou Zhaoyi, Zhang Yanan, Wang Xiaofeng, et al. Weld surface defect detection based on improved two-dimensional principal component analysis[J]. Transactions of the China Welding Institution, 2021, 42(11): 70 − 76.
    Qi Jiyang, Li Jinyan. Feature extraction of welding defect base-don machine vision[J]. China Welding, 2019, 28(1): 56 − 62.
    樊丁,胡桉得,黄健康,等. 基于改进卷积神经网络的管焊缝X射线图像缺陷识别方法[J]. 焊接学报, 2020, 41(1): 7 − 11.

    Fan Ding, Hu Ande, Huang Jiankang, et al. X-ray image defect re-cognition method for pipe weld based on improved convolutional neural network[J]. Transactions of the China Welding Institution, 2020, 41(1): 7 − 11.
    Chi D Z, Gang T. Defect detection method based on 2D entropy image segmentation[J]. China Welding, 2020, 29(1): 45 − 49.
    王睿, 胡云雷, 刘卫朋, 等. 基于边缘AI的焊缝X射线图像缺陷检测[J]. 焊接学报, 2022, 43(1): 79 − 84.

    Wang Rui, Hu Yunlei, Liu Weipeng, et al. Defect detection of weld X-ray image based on edge AI[J]. Transactions of the China Welding Institution, 2022, 43(1): 79 − 84.
    杨鹏程, 高向东, 林少铎, 等. 焊缝表面缺陷激光扫描三维重构测量[J]. 焊接学报, 2020, 41(3): 59 − 63.

    Yang Pengcheng, Gao Xiangdong, Lin Shaoduo, et al. Laser scanning three-dimensional reconstruction measurement of weld surface defects[J]. Transactions of the China Welding Institution, 2020, 41(3): 59 − 63.
    杨军涛, 李志勇, 范力予, 等. 基于线激光扫描的焊缝表面缺陷检测系统[J]. 焊接, 2016(2): 19 − 23. doi: 10.3969/j.issn.1001-1382.2016.02.006

    Yang Juntao, Li Zhiyong, Fan Liyu, et al. Surface defect detection system of welding seam based on line laser scanning[J]. Welding & Joining, 2016(2): 19 − 23. doi: 10.3969/j.issn.1001-1382.2016.02.006
    Xue Bin, Ma Shufang, Chu Huihui, et al. Research on weld quality detection method based on machine vision and computer image processing[J]. IOP Conference Series:Materials Science and Engineering, 2019, 631(5): 052031 − 1 − 7. doi: 10.1088/1757-899X/631/5/052031
    王仁荣, 赵力伟, 郑劲豹, 等. 基于LABVIEW的焊缝表面缺陷智能检测系统研究[J]. 焊接技术, 2018, 47(11): 54 − 57.

    Wang Renrong, Zhao Liwei, Zheng Jinbao, et al. Research on the intelligent inspection system for weld surface defects based on LABVIEW[J]. Welding Technology, 2018, 47(11): 54 − 57.
    Han Yanqing, Fan Junfeng,Yang Xiaozhong. A structured lightvision sensor for on-line weld bead measurement and weld qual-ity inspection[J]. The International Journal of Advanced Manufac-turing Technology, 2020, 106(5): 2065 − 2078.
    Zhang Qican, Han Yu, wu Yingshan. Comparison and combina-tion of three spatial phase unwrapping algorithms[J]. Optical Re-view, 2019, 26(4): 380 − 390.
    Wang Le, Song Lei, Zhong Lijun, et al. Multi-frequency hetero-dyne phase shift technology in 3-D measurement[J]. Advanced Materials Research, 2013, 2586(774-776): 1582 − 1585.
  • Related Articles

    [1]WEI Deqiang, REN Xulong, WANG Rong, LV Shaopeng. Microstructure and hardness of W alloy on 45 steel by electron beam scanning[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(2): 98-103. DOI: 10.12073/j.hjxb.2019400050
    [2]WANG Hongna, YAN Yanfu, MA Shitao, QI Xuefeng, LIU Shuying. Effect of rare earth element (La,Nb) on hardness of Ti15Cu15Ni filler metal and shear strength of TC4 joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(11): 99-103.
    [3]LEI Yucheng, LI Zhennan, ZHU Yanshan, JU Xin. Analysis of residual stress and hardness of T-joint on China low activation martensitic steel laser weld[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (6): 73-76.
    [4]QU Yuebo, CAI Zhipeng, CHE Hongyan, PAN Jiluan. Effect on hardness and microstructures of rail joint with narrow gap arc welding by normalizing[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (7): 25-29.
    [5]LEI Yucheng, HAN Mingjuan, ZHU Qiang, JU Xin. Microstructure and hardness of laser welded joint of China low activation martensitic steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2010, (1): 5-8.
    [6]LEI Yucheng, GU Kangjia, ZHU Qiang, CHEN Xizhang, JU Xin, CHANG Fenghua. Hardness and microstructure of China low activation martensitic steel fusion welded joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (11): 9-12.
    [7]LI Haitao, CHEN Furong, HU Yanhua, XIE Ruijun. Effects of peak temperature of welding thermal circle on hardness of 10CrMo910[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (2): 75-78.
    [8]ZHANG Guifeng, MIAO Huixia, ZHANG Jianxun, PEI Yi, WANG Jian, ZHANG Yantao. Effects of immediate water cooling and normalization after welding on microstructure and hardness of heat affected zone of ultra-fine grain steels welded joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (12): 47-50.
    [9]Liu Zhengjun, Lin Kegung, Liu Bingshan, Sun Bo. Remelting Harding for Inter Surfacing of Thick Oil Pump[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1998, (3): 9-14.
    [10]Sun Weilong, Tang Muyao, Zhou Lixia. Prediction of microstructure and haroness in microalloyed steel HAZ by aid of computer[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1992, (3): 146-155.
  • Cited by

    Periodical cited type(1)

    1. 吴泓羲,钟佳宏,何小均,袁小平. 基于船用涡轮增压器焊接涡轮设计参数的仿真分析研究. 内燃机与配件. 2024(19): 21-23 .

    Other cited types(1)

Catalog

    Article views (314) PDF downloads (39) Cited by(2)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return