逆向工程中圆锥体组件加工信息快速高精度检测与生成方法研究

doi:10.3969/j.issn.1000-1158.2022.06.03

摘要
图/表
参考文献(17)
相关文章 (15)

全文: PDF (2161 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要提出一种圆锥体组件加工信息快速高精度检测与生成的方法。首先,使用Delaunay网格划分法对圆锥体组件点云数据进行处理,得到其三角网格模型;其次,利用最小二乘拟合方法计算圆锥体组件点云数据各空间点最近邻域平面及其法向量,并构建空间点与法向量之间的映射关系,再根据该映射关系提取锥角;最后,通过对圆锥体组件点云数据的整体形貌分析提取锥高,利用锥角与锥高之间的关系计算出底面圆半径,通过计算的方式快速得到圆锥体组件的高精度加工信息。实验结果表明:该方法与几何测量方法相比,圆锥体组件的锥角θ、锥高h和底面圆半径r的误差分别降低了77.64%、70.53%和73.48%,时间减少了81.74%,能够实现圆锥体组件快速高精度加工信息检测与生成。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	孔德明
	田小强
	崔永强
	孔令富

关键词 ：计量学, 圆锥体组件, 逆向工程, 加工信息, 三角网格模型, 映射关系

Abstract：A rapid and high-precision detection and generation for machining information of cone component is proposed in the field of processing and manufacturing.First, triangulated irregular network model is obtained by using the Delaunay Triangulation method.Then the nearest neighborhood planes of points in the cone component point cloud or its normal vectors are acquired by using least square fitting algorithm, and a mapping relationship between the normal vectors and points in the cone component point cloud is constructed.Cone angle can be obtained using the constructed mapping relationship.Finally, according to the distribution of points of the cone component point cloud in 3D coordinate system, cone height can be obtained, and radius of bottom circle can be acquired by the relation between cone angle and cine height.So high precision processing information of cone component are rapidly acquired by way of computation.The experimental results show that compared with geometric measurement method, measurement errors of cone angle, cone height, and radius of the bottom circle are deduced 77.64%, 70.53% , 73.48% respectively, and detection time are deduced 81.74%. It can realize rapid and high-precision detection and generation method for machining information of cone component.

Key words： metrology cone component reverse engineering processing information triangulated irregular network model mapping relationship

收稿日期: 2019-07-26 发布日期: 2022-06-30

PACS:

TB92

基金资助:国家科技重大专项(2017ZX05019001-011);国家自然科学基金(61501394);河北省自然科学基金(F2016203155)

通讯作者: 田小强(1990-),男,河北迁安人,燕山大学博士研究生,研究方向为高精度三维形状检测技术。Email:xiaoqiangtian@yeah.net E-mail: 776072028@qq.com

作者简介: 孔德明(1983-),男,吉林公主岭人,燕山大学副教授,主要从事高精度三维形状检测技术方面的研究。Email:demingkong@ysu.edu.cn

引用本文:

孔德明,田小强,崔永强,孔令富. 逆向工程中圆锥体组件加工信息快速高精度检测与生成方法研究[J]. 计量学报, 2022, 43(6): 718-723.
KONG De-ming,TIAN Xiao-qiang,CUI Yong-qiang,KONG Ling-fu. Research on Rapid and High-precision Detection and Generation for Machining Information of Cone Component in Reverse Engineering. Acta Metrologica Sinica, 2022, 43(6): 718-723.

链接本文:

http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2022.06.03 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2022/V43/I6/718

［1］向志聪. 非接触光学三坐标测量机的研究［D］. 广州:广东工业大学, 2016.
［2］Zhou S, Cai Y C, Gao C. Rapid length measuring system for mobile and large scale cylinder workpieces based on 3D laser scanning ［J］. Optics & Precision Engineering, 2014, 22 (6): 1524-1530.
［3］Swyt D. Length and Dimensional Measurements at NIST ［J］. Journal of Research of the National Institute of Standards & Technology, 2001, 106 (1): 1-23.
［4］Estler W T, Edmundson K L, Peggs G N. Large-Scale Metrology-An Update ［J］. CIRP Annals-Manufacturing Technology, 2002, 51 (2): 587-609.
［5］Xu L J, Kong D M, Li X L. On-the-fly extraction of polyhedral buildings from airborne LiDAR data ［J］. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (3): 1946-1950.
［6］张玉燕, 渠文涵, 郭全丽,等. 基于3D点云平均曲率估算的损伤参数计算［J］. 计量学报, 2018, 39 (5): 609-614.
Zhang Y Y, Qu W H, Guo Q L, et al. Damage Parameter Calculation Based on 3D Point Cloud Mean Curvature Estimation ［J］. Acta Metrologica Sinica, 2018, 39 (5): 609-614.
［7］Chen J. Practice of airborne LiDAR point cloud filtering method based on triangulated irregular network ［J］. IEEE Advanced Research and Technology in Industry Applications, 2014, 11 (1): 1284-1286.
［8］Nie S, Wang Z C, Dong P L, et al. A revised progressive TIN densification for filtering airborne LiDAR data ［J］. Measurement, 2017, 104 (10): 70-77.
［9］Qin L, Wu W, Tian Y. LiDAR Filtering of Urban Areas with Region Growing Based on Moving-Window Weighted Iterative Least-Squares Fitting ［J］. IEEE Geoscience & Remote Sensing Letters, 2017, 14 (6): 841-845.
［10］Lin S, Jusko O, Hartig F, et al. A least squares algorithm for fitting data points to a circular arc cam ［J］. Measurement, 2017, 102 (10): 170-178.
［11］李丽颖. 算数平均滤波算法在高压脉冲打击中的应用［J］. 电子质量, 2018, 12 (2): 39-42.
Li L Y. The Application of Average Filtering Algorithm in Process of High Voltage Pulse Shock ［J］. Electronics Quality, 2018, 12 (2): 39-42.
［12］Blane M M, Lei Z, Civil H. The 3L Algorithm for Fitting Implicit Polynomials Curves and Surface to Data ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (3): 298-313.
［13］Helzer A, Barzohar M, Malah D. Stable fitting of 2D curves and 3D surfaces by implicit polynomials ［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2004, 26 (10): 1283-1294.
［14］唐云冰, 罗贵火, 郑开原. 航空发动机结构参数化设计［J］. 航空发动机, 2004, 30 (2): 10-13.
Tang Y B, Luo G H, Zheng K Y. Structure Parameter Design of Aeroengines ［J］. Aeroengine, 2004, 30 (2): 10-13.
［15］何凯波, 冯鲁文, 王钧,等. 叶片结构的电子芯片散热器设计［J］. 技术与市场, 2019, 26 (1): 121-123.
He K B, Feng L W, Wang J, et al. Design of electronic chip radiator based on aero-engine blade structure ［J］. Technology and Market, 2019, 26 (1): 121-123.
［16］Zhu C, Zhang H, Yu L. Structure Models for Image-Assisted Geometry Measurement in Plenoptic Sampling ［J］. IEEE Transactions on Instrumentation & Measurement, 2017, 67 (1): 150-166.
［17］郑红波, 张江雯, 谭小俊,等. 点云数据的二次曲面几何测量方法［J］. 中国机械工程, 2014, 25 (11): 1545-1549.
Zheng H B, Zhang J W, Tan X J, et al. Quadric Surface Geometry Measurement Method for Point Clouds ［J］. China Mechanical Engineering, 2014, 25 (11): 1545-1549.