直线度平面度公差的快速评定测点分类法

A fast evaluation of straightness and flatness tolerance by the mean of classifying measured points

在直线度、平面度公差判定的最小包容区域法中提出一个新的、快速的实施方法。新方法将所有测量点分成“高点”、“低点”和“鞍点”三种类型。并指出最小包容区域法中的最高点只出现在“高点”中,最低点只出现在“低点”中,最高(低)点不会出现在“鞍点”中。这样极大的减少了搜索的范围,提高了软件的效率,而且测量点越多,效果越显著。通过70个测点平面度评定的典型算例,表明此算法比传统的最小区域法要快几十倍。

This paper proposes a travel and fast method to effiently evaluate the flatness tolerance based on traditional minimum zone method. Our new method is motivated by the finding that all the measure points can be classified into three categories： high, low and saddle points. And the Maximum high points in Minimum zone method can only belong to the set of high points, Minimum low points belongs to the set of low points, and neither of them could appear in saddle points. After dividing all the points according to their characteristic, we greatly reduce the number of searching iterations, and the total speed up is more obvious as the number of points increasing. As in our experiment, for 70 measured points, our method leads W tens times speed up over traditional minimum zone method.