正方网格迭代寻优评定深孔轴线直线度

Drawing Square Meshes Circularly to Hunt for the Optimal Baseline for Evaluating Straightness Error of Deep Hole Axis

针对评定深孔轴线直线度难以确定最优基线的难题,提出了正方网格迭代寻优评定深孔轴线直线度。以正方形网格划分最优评定基线所在的空间区域,以网格的交点为端点建立评定基线,以评定出的直线度最小值为导向搜索最优评定基线。上一次正方形网格化后的最优评定基线和最小直线度为基础,重新进行下一次的正方形网格划分搜索最优评定基线,如此循环以搜索全局最优评定基线,并计算出最终的直线度。将算法与其他算法比较,验证了算法的优越性。此外,正方网格迭代寻优可应用于空间任一实际直线的直线度评定,能够为直线度评定提供参考。

Contraposing the difficult problem that hunting for the optimal evaluating baseline to evaluate the straightness of deep hole axis, this paper comes up with a method that drawing square reseaus to hunt for the optimal baseline circularly for evaluating straightness of deep hole axis.Square gridding the interspace where the optimal evaluating baseline located, and building baseline with the square reseaus, and evaluating the minimum straightness to guide to hunt for the optimal baseline.Hunting for the next optimal baseline in the interspace where has been partitioned into square reseaus, based on the former optimal evaluating baseline and minimum straightness.Repeat in this way, until the global optimal baseline is found out, and the ultimate straightness error is figured out.This paper compares this algorithm with other algorithms, it turns out that this algorithm is superior to another algorithms.Besides, drawing square reseaus circularly to hunt for the optimal baseline for the evaluation of deep hole axis straightness that can also be applied to evaluate the straightness of another real 3D lines.This paper provides a reference for the evaluation of straightness.