您好,欢迎来到中国测试科技资讯平台!

首页> 《中国测试》期刊 >本期导读>基于点云的高精度螺纹锥度测量方法

基于点云的高精度螺纹锥度测量方法

1211    2022-02-25

免费

全文售价

作者:尤睿琦, 张超, 郝刚

作者单位:天津理工大学计算机科学与工程学院,天津 300384


关键词:三维点云;螺纹锥度;检测方法;逆向工程


摘要:

为控制检测成本降低螺纹检测过程中对夹具及环境要求,该文在确保检测精度的前提下提出使用非接触式结构光点云对螺纹锥度的高精度测量方法。首先提出局部螺纹点云摆正方法并应用平面分割提取点云轮廓线,接下来在对不同角度获取的螺纹点云分类讨论聚类方法的同时建立轮廓点类别与锥度拟合点之间的数学模型,最终总结并分析螺纹锥度的测量精度并将其与设计精度及实际精度进行对比。对比结果显示多次实验中所测螺纹锥度平均误差均低于0.05°。该方法的提出可为各种形制螺纹锥度的三维逆向测量提供新方法。


High precision thread taper measurement method based on point cloud
YOU Ruiqi, ZHANG Chao, HAO Gang
School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
Abstract: In order to control the inspection cost and reduce the requirements of fixture and environment in the process of thread inspection, the authors propose a high-precision measurement method of thread taper using a non-contact structured light point cloud under the premise of ensuring the inspection accuracy. First, a local thread point cloud correction method is proposed and plane segmentation is applied to extract the point cloud contour line. Next, the thread point cloud obtained from different angles is classified and the clustering method is discussed. At the same time, the mathematic model between the contour point category and the taper fitting point is established. Finally summarized and analyzed the measurement accuracy of thread taper and compared it with the design accuracy and actual accuracy. The comparison results show that the average error of the thread taper measured in multiple experiments is less than 0.05°. The proposed method can provide a new method for the three-dimensional reverse measurement of the taper of various shaped threads.
Keywords: 3D point cloud;thread taper;detection method;reverse engineering
2022, 48(2):34-40  收稿日期: 2021-03-30;收到修改稿日期: 2021-05-03
基金项目:
作者简介: 尤睿琦(1997-),男,内蒙古包头市人,硕士研究生,专业方向为3D机器视觉、智能识别与图像处理
参考文献
[1] 贾振元, 王永青, 王福吉, 等. 高性能复杂曲面零件测量–再设计–数字加工一体化加工方法[J]. 机械工程学报, 2013, 49(19): 126-132
[2] 申昭熙, 李磊, 王鹏. 特殊螺纹接头主要参数对密封性能的影响分析[J]. 石油矿场机械, 2011, 40(1): 38-41
[3] CUESTA E, SUAREZ-MENDEZ J M, MARTINEZ-PELLITERO S, et al. Metrological evaluation of Structured Light 3D scanning system with an optical feature-based gauge[J]. Procedia Manufacturing, 2017, 13: 526-533
[4] KAMARI M, HAM Y. Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites[J]. Automation in Construction, 2021, 121: 103430.
[5] HE F, CUI X, ZHANG Y, et al. Non-contact measurement of oil tube thread and the application[C]//Optical Technology & Image Processing Fo Rfluids & Solids Diagnostics. International Society for Optics and Photonics, 2003.
[6] MIN J. Comprehensive measurement system for screw thread parameter based on machine vision[C]//International Conference on Computer & Computational Sciences. IEEE, 2015.
[7] TONG Q, DING Z, CHEN J, et al. The research of screw thread parameter measurement based on position sensitive detector and laser[J]. Journal of Physics Conference, 2006, 48: 561-565
[8] GADELMAWLA E S. Development of computer vision algorithms for measurement and inspection of external screw threads[J]. Measurement, 2017, 100: 36-49
[9] CHEN M L. Compensation of thread profile distortion in image measuring screw thread[J]. Measurement, 2018, 129: 582-588
[10] MIN J. Measurement method of screw thread geometric error based on machine vision[J]. Measurement & Control Journal of the Institute of Measurement & Control, 2018, 51(7-8): 304-310
[11] LI Z, ZHANG K, WU J, et al. External thread measurement based on ResUnet and HMM[C]//2020 5th International Conference on Computer and Communication Systems (ICCCS), 2020.
[12] 左建中, 刘峰, 张定昭. 机器视觉技术在螺纹检测中的应用[J]. 机械设计与制造, 2006(4): 113-114
[13] 包能胜, 方海涛. 连续运动螺纹尺寸自适应机器视觉检测[J]. 计量学报, 2020, 41(9): 1062-1069
[14] KOSAREVSKY K, VIKTOR L. Development of an algorithm to detect screw threads in planar point clouds[J]. IFAC Proceedings, 2013, 46(7): 228-232
[15] SCHDEL S, WEDMANN A, STEIN M. Advanced screw thread metrology using an areal measuring strategy and a holistic evaluation method[J]. Measurement Science and Technology, 2019, 30(7): 75009
[16] 张建兵, 王洋洋, 张晓梅, 等. 油套管螺纹关键参数的三坐标测量方法[J]. 石油机械, 2020, 48(4): 135-141
[17] 王洋洋. 基于逆向工程的油套管特殊螺纹参数三坐标检测方法[D]. 西安: 西安石油大学, 2020.
[18] ROBERTSON C, FISHER R. Shape recovery and analysis of large screw threads[C]//3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on IEEE, 2001.
[19] 谢张宁, 姜志华, 朱惠臣, 等. 基于三维点云螺纹中轴线的拟合方法研究[J]. 计量学报, 2020, 41(8): 918-925
[20] 宋金玉, 郭一平, 王斌. DBSCAN聚类算法的参数配置方法研究[J]. 计算机技术与发展, 2019, 29(5): 44-48