Technological Research on Information Extraction of Part Process Model Based on Machining Feature

Abstract

The information extraction mode based on machining feature was presented for studying information extraction of part process model in the 3D CAPP system. The classification and its data structure of machining feature were investigated for defining the matching rule about the features. The feature authentication were availably fulfilled by converting the correlations of geometric topological into surface-edge adjacency graph for the part model, and the corresponding parameters extraction of feature were derived from traversing the feature tree of application development CATIA. The whole feature recognition process and parameter extraction process can become more directly and effectively by adopting the method of comparing machining feature with the predefined feature matching rules of the feature database.