光学精密工程2025，Vol.33Issue(4)：557-567,11.DOI:10.37188/OPE.20253304.0557
回转体零件内部误差工业CT图像测量
Measurement method for internal error of rotary parts using industrial CT images
摘要
Abstract
To address the issue of internal error measurement for rotary components,this paper exploited the advantages of industrial CT,which is non-destructive and capable of detecting the internal structure,and achieved the internal error measurement of rotary components through industrial CT images.Firstly,the axis parameters of the rotary body were calculated,and these parameters and Rodrigues's formula were incorporated into the region growing method to enhance the accuracy of 3D point cloud segmenta-tion.Subsequently,the objective function of the geometric model was established,and initial parameters of the geometric model were obtained through least squares linear fitting.Further,the optimal parameters of the geometric model were solved using Levenberg-Marquardt nonlinear fitting.Finally,the geometric model was utilized to compute the shape and position errors of the parts.Experimental results demonstrate the superiority of the proposed point cloud segmentation method in terms of accuracy when compared to other methods.Additionally,the surface reconstruction method exhibits better stability than the RANSAC algorithm.Compared with commercial VG software,the accuracy of shape and position error calculation is higher,with an increase of 8.5%in cylindricity,21.1%in coaxiality,and 4.1%in verticali-ty.Moreover,the cone tolerance calculation yields results within the design specifications,which satisfy-ing the requirements of error measurement engineering.关键词
计算机断层成像/点云分割/表面重建/误差测量Key words
computed tomography/point clouds segmentation/surface reconstruction/error measure-ment分类
计算机与自动化引用本文复制引用
江逸君,刘泽新,刘学栓,龙超,段黎明,蔡玉芳..回转体零件内部误差工业CT图像测量[J].光学精密工程,2025,33(4):557-567,11.基金项目
国家重点研发计划资助项目(No.2022YFF0706400) （No.2022YFF0706400）
国家自然科学基金资助项目(No.52075057) （No.52075057）
