摘要
针对具有复杂内腔结构零件的内部曲面形位误差分析困难的问题,提出了一种基于工业CT技术的零件复杂内腔的形位误差分析方法。首先,使用工业CT对零件进行扫描并重建为测量STL模型。然后将设计IGES模型离散为STL模型与测量STL模型进行配准。其次,利用设计IGES模型作为引导,判定测量STL模型中的点和IGES模型各曲面的归属,自动分割测量STL模型中的所有曲面。最后,选取设计IGES模型的曲面并对曲面对应的点云簇进行形位误差分析。选取百万级测量点云的阀体模型进行实验,完整地分割点云模型所有曲面,选择任意曲面进行形位误差分析,测得选定内部曲面的圆柱度为1.11 mm、平面度为0.61 mm、平行度为1.92 mm。本文方法只需输入零件测量STL模型和零件设计IGES模型,再选取设计IGES模型待测曲面就可以自动地完成零件内外曲面的形位误差分析。
It is difficult to analyze the shape and position error of internal surface of parts with complex cavity structure.To address this issue,a method of analyzing the shape and position error of complex cavity of parts is proposed,which is based on industrial CT technology.First,the parts are scanned by using industrial CT and reconstructed into the measurement STL model.Then,the design IGES model is discretized into the STL model and the measurement STL model for registration.Secondly,by using the designed IGES model as the guide,the points in the STL model and the belonging of each surface of the IGES model are determined.And all the surfaces in the STL model are automatically segmented and measured.Finally,the surface of IGES model is selected and the point cloud cluster corresponding to the surface is analyzed.The valve body model of the million-dollar measurement point cloud is selected for the experiment.All the surfaces of the point cloud model are completely segmented.The cylindricity,flatness and parallelism of the selected internal surface are measured to be 1.11 mm,0.61 mm,and 1.92 mm,respectively.In this method,only the input STL model of part measurement and the IGES model of part design are required.The measured surface of IGES model is selected.The internal and external surface of part can be analyzed automatically.
作者
杨晗
谭川东
盛晋银
司磊
段黎明
Yang Han;Tan Chuandong;Sheng Jinyin;Si Lei;Duan Liming(ICT Research Center,Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education,Chongqing University,Chongqing 400044,China;College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2021年第11期230-238,共9页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(52075057)项目资助。
关键词
计算机断层成像
点云曲面自动分割
误差分析
点云配准
computed tomography
point clouds segmentation
error analysis
point cloud registration
