摘要
介绍了直线度误差评定的最小二乘法和最小包容区域法的算法模型与实现方法。在三坐标测量机上对八种不同被测直线进行了采样点坐标数据提取,分别用最小二乘法和最小包容区域法的基于搜索逼近-逐次旋转逼近法进行了给定平面内直线度误差的评定。结果表明:最小二乘法的评定结果与最小包容区域法的基于搜索逼近-逐次旋转逼近法的评定结果完全一致,即直线度误差的最小二乘法评定结果符合最小条件。
The algorithm model and the realization method of evaluating straightness error in least squares method and least envelope zone method were introduced in detail. The experimental data of eight different kinds of straights were obtained on Coordinate Measuring Mechine（CMM）. Then the measured data were evaluated by least square method and least envelope zone method based on search approximatioss （namely cut and try method in revolutionally）. The experimental results indicate that the two methods are completely consistent and the evaluated result of straightness error by least square method conforms to the least condition.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2007年第6期889-893,共5页
Optics and Precision Engineering
基金
福建省青年科技人才创新资助项目(No.2005J030)
关键词
直线度误差
评定
最小二乘法
最小包容区域法
straightness error
evaluation
least square method
least envelope zone method
