Avoid the influence of error point cloud registration homogenization on the evaluation of blade machining allowance distribution

Abstract

The homogenization or abandonment of local machining error point cloud in machining allowance evaluation will bring negative effects. Therefore, a regional unilateral control point cloud registration algorithm based on directed distance function is proposed. The rapid extraction and classification of errors are realized by hierarchical identification with the change rate of distance value as the parameter. According to the error type, the error region is expanded to achieve in the solution: the non-error region is the minimum iterative value selection interval and the fixed maximum error region is the maximum iterative value selection interval. The simulation results show that the distribution of machining allowance in the non-error region obtained by the proposed method is close to the ideal value. The blade measurement test shows that compared with the standard method and the removal point method, the new method can ensure the distribution of blade machining allowance is more reasonable.