A mbd model processing feature recognition and information extraction method

Abstract

The invention provides a processing feature recognition and information extraction method of an MBD model. The steps are as follows: 1. Analyzing the MBD model; 2. Traversing the cylindrical surface to identify hole features; 4: Traverse the predefined processing features and their feature subgraphs; 5: Use the subgraph isomorphism method to identify all the processing feature surface sets of this type; 6: Calculate the key geometric dimensions according to the processing feature type; 7: Extract the 3D annotation of the model Information; Eight: Extract part annotation information; Nine: Interactive identification of custom processing features; Ten: Visual processing feature recognition results; Eleven: Structured output feature recognition and information extraction results; through the above steps, the processing in the MBD model can be identified The feature surface set and its key geometric dimensions are automatically calculated, and the 3D annotation and annotation information of the part can be extracted, and the final result can be output in the form of XML, laying a good data foundation for the subsequent process design.

Description

technical field [0001] The invention provides an MBD model processing feature recognition and information extraction method, which is a processing feature recognition and information extraction method based on a model-based definition (Model-based Definition, MBD) model. Specifically, it refers to a processing feature recognition and information extraction method for analyzing MBD models, which can automatically decompose the input MBD model into a series of processing features, and extract the geometric information and process requirements of the processing features, so as to make decisions for subsequent processes. It provides data support and belongs to the field of Computer Aided Process Planning (CAPP). Background technique [0002] Computer Aided Process Planning (CAPP) is the bridge and link between design and manufacturing, and plays a connecting role in the process of product digital design and manufacturing, and is the key to improving the overall level of digital ...

AI Technical Summary

Problems solved by technology

However, in the existing research, the operating efficiency of the feature recognition algorithm is relatively low. At the same time, the existing achievements are mostly aimed at the CAD geometric model, and the research on the MBD model is less. The present invention overcomes the shortcomings of the above research. Application Architecture, CAA) carried out the secondary development of the modeling software CATIA (Computer Aided Three-dimensional Interactive Application, namely CATIA), and proposed a processing feature recognition and information extraction method for the MBD model

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