球度误差的网格搜索算法

结合几何形状误差的定义及球度误差的几何特征,提出了一种球度误差评定的几何算法——网格搜索算法。以最小二乘球心为初始参考点,按一定的规则布置一系列的网格点,依次以各网格点为假定理想球心计算所有测量点的半径值,通过比较、判断获得相应评定方法(最小外接球法、最大内接球法和最小区域球法)的球度误差值。阐述了球度误差网格搜索算法原理和实现过程。实例结果表明,该算法可以有效、正确地评定球度误差。

Sphericity Error Based on Mesh Search Algorithm

With the definition of the geometry error and the geometric characteristics of sphericity error, a sphericity error evaluation method with the name of mesh search algorithm was presented. The principle of the algorithm was that with the least-square as the initial reference point, and a series of mesh points were collocated around the periphery of the least-square mad self-alignment according to the certain rules, the radius values of all the measured points were calculated by using each mesh point as the ideal center. By comparison and judgment to obtain corresponding evaluation methods (minimum circumscribed sphere (MCS), maximum inscribed sphere (MIS), minimum zone sphere (MZS)).The principle and the realization process of the mesh search algorithm were described in detail. The examples results show that the sphericity error can be evaluated effectively and exactly by using this algorithm.