计量学报2016，Vol.37Issue(2)：123-127,5.DOI:10.3969/j.issn.1000-1158.2016.02.03
基于几何搜索逼近的球度误差最小区域评定
Minimum Zone Evaluating for Sphericity Error Based on Geometry Search Approaching Method
摘要
Abstract
According to geometric definition of the sphericity,a novel evaluation method which named as geometry search approaching method for sphericity error is presented. Firstly,an initial reference point is taken as a datum point and built a regular hexahedron and established an auxiliary points. Secondly,the each auxiliary points and the datum point are used as the centre of the measured sphere to calculate the radius of all measured points. And then modify the side length of the hexahedron or the position of the reference point by comparing these radius extreme differences. Finally,by repeating this process,the minimum zone containing all measurement points is obtained and the minimum zone evaluation for the measured spherical surface is implemented. The method is used to process a group of metrical data,and the results indicate that the sphericity error value from this algorithm can be reduced by 0. 6μm as compared with least square method,and are consistent with the results obtained by the analytic method and evolutionary computation method. The results show that the algorithm can get not only the minimum zone solution accurately but also has good stability.关键词
计量学/球度/形状误差/几何搜索逼近法/最小区域法Key words
metrology/sphericity/form error/geometry search approaching method/minimum zone method分类
通用工业技术引用本文复制引用
雷贤卿,高作斌,马文锁,段明德..基于几何搜索逼近的球度误差最小区域评定[J].计量学报,2016,37(2):123-127,5.基金项目
国家“863”项目（2009AA044902-4）；工信部重大攻关项目（2012ZX04005-021）；河南省基础与前沿技术研究计划 （）
