Cutter feature point identification method and equipment combining transverse geometric features of adjacent cutter paths

Abstract

The invention belongs to the related technical field of milling finish machining and deep learning, and discloses a tool feature point recognition method and equipment combining transverse geometric features of adjacent tool paths, and the method comprises the following steps: (1) analyzing a G01 program segment of a target part to obtain three-dimensional coordinates of a tool location point in a machining tool path, sorting according to the advancing direction of the cutter to obtain a cutter location point cloud; (2) determining and calculating geometric parameters of the cutter location points, and constructing geometric feature vectors of the cutter location points; (3) generating a geometric feature matrix of the cutter location points by combining the neighborhood cutter location points in the advancing direction of the cutter; (4) topology is carried out on the cutter location point cloud to form a graph data structure; (5) establishing a communication relation between the cutter location points through the adjacent cutter location point index of each cutter location point, and calculating a cutter location point cloud adjacent matrix; and (6) inputting the cutter location point cloud data of the predicted feature points and the cutter location point cloud adjacency matrix into the trained graph neural network model to complete the recognition of the cutter feature points. The method has higher identification precision and recall ratio.

Description

technical field [0001] The invention belongs to the related technical fields of milling finishing and deep learning, and more specifically relates to a tool feature point recognition method and equipment combined with the lateral geometric features of adjacent tool tracks. Background technique [0002] In modern manufacturing, CNC machining, as one of the most important and popular manufacturing methods, is widely used in automobiles, aviation, consumer electronics and other industries. In the actual milling and finishing process, the G01 block is generated by the post-processing of the CAM software, such as figure 2 As shown, the CNC system reads the G code to process the parts, but the G code is a relatively simple language, which mainly contains the position information of the tool path, and cannot express the geometric characteristics of the part model, so in this process The CNC system cannot obtain the geometric feature information of the part. With the development o...

AI Technical Summary

Problems solved by technology

[0003] Due to the diversity of the features of the processed parts and the geometric defects expressed by the G code, it is difficult to use the traditional method to solve the problem of feature point recognition of the tool path. Horizontal geometric feature information, so the applicability and effect of traditional methods on feature point recognition problems are poor

Images