正方网格迭代寻优评定深孔轴线直线度

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。

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

Thanks to the evaluation of deep hole axis straightness is difficult to hunt for the optimal baseline, this paper puts forward a method that drawing square meshes circularly to hunt for the optimal baseline for the evaluation of deep hole axis straightness error. Partitioning the region where the optimal evaluating baseline lies in with square meshes; Points of intersection of square meshes are used for building baselines. With the minimum straightness , which was evaluated with the baselines, guides to hunt for the optimal baseline. Hunting for the next optimal baseline in the region where has been partitioned into square meshes, based on the former optimal evaluating baseline and minimum straightness. As mentioned above, until the global optimal baseline is found out, and the ultimate straightness error is figured out.Comparing this algorithm with another algorithms, this paper proves the superiority of the proposed algorithm. In addition, drawing square meshes circularly to hunt for the optimal baseline for the evaluation of deep hole axis straightness error that can also be applied to evaluate the straightness of another real 3D lines. This paper provides a reference for the evaluation of straightness.