摘要
在使用三坐标测量机检测中,规则曲面常常是必检测特征,而检测结果的准确性通常与采样策略有关,采样策略包括采样点数和采样分布。对采样点数进行研究,由于三坐标测量机中点数的选取大都根据经验所得,使得检测结果可能不准确,因此根据待测特征的误差要求提出临界采样点数的算法。分析了常用分布方法的弊端后,提出根据特征的几何形状对应不同的低差异序列采样分布方法,最后在三坐标测量机中进行实验比较,证明所提出的采样分布方法更合理。
In the detection of CMM,regular surface is often a necessary feature,and the accuracy of the detection results is usually related to its sampling strategy,which includes sampling points and sampling distribution.The sampling points were studied.Because the selection of points in CMM was mostly based on experience,the detection results might not be accurate,so an algorithm of critical sampling points was proposed according to the error requirements of the features to be tested.After analyzing the disadvantages of common distribution methods,a method of low difference sequence sampling and distributing was put forward according to geometric shape of feature.Finally,the experimental results in CMM were compared.It can be proved that the proposed sampling distribution method is more reasonable.
作者
屈力刚
胡宝慧
李静
QU Ligang;HU Baohui;LI Jing(School of Mechanical and Electrical Engineering,Shenyang Aerospace University,Shenyang Liaoning 110136,China)
出处
《机床与液压》
北大核心
2020年第2期35-39,共5页
Machine Tool & Hydraulics
基金
沈航航空制造工艺数字化国防重点实验室开放基金资助项目(SHSYS2017002)
航空科学基金(2015ZE12013)
关键词
三坐标测量机
采样点数
采样分布
低差异序列采样分布方法
CMM
Sampling point
Sampling distribution
Method of low difference sequence sampling and distributing
