MBD model based processing feature identification and modeling method

A technology for processing features and models, applied in the field of intelligent process design, can solve problems such as difficulty in adding feature types, high dependence on modeling history and modeling methods, and dependence on feature types, etc., to achieve the effect of improving utilization

Active Publication Date: 2016-02-24
WUHAN KAIMU INFORMATION TECH
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Problems solved by technology

[0014] The purpose of the embodiment of the present invention is to provide a processing feature recognition and modeling method based on MBD model to solve the problem that the prior art relies heavily on modeling history and modeling methods, depends on specific feature types, and is difficult to add New Feature Type Questions

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  • MBD model based processing feature identification and modeling method

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Embodiment 1

[0083] Such as figure 1 Shown is an MBD model-based processing feature recognition and modeling method provided by an embodiment of the present invention, the method includes model information extraction and processing feature recognition, wherein the model information extraction includes modeling feature information extraction, geometric voxel information Extraction and product manufacturing information PMI extraction; processing feature identification includes processing feature geometric attribute identification and processing feature process attribute identification, specifically:

[0084] In step 201, product manufacturing information is acquired based on the PMI extraction, wherein the product manufacturing information includes one or more of dimension annotation, roughness annotation, geometric accuracy annotation and text annotation.

[0085] Such as figure 2 As shown, it shows the modeling feature information, geometric voxel information and PMI obtained by the mode...

Embodiment 2

[0110] In combination with Embodiment 1 of the present invention, there is a preferred solution, wherein the mapping of the solid surfaces and corresponding attributes contained in the modeling features to the geometric attributes of the processing features, such as Figure 4 As shown, the center-subgraph method can be used to complete the acquisition of geometric attributes in processing features, including:

[0111] In step 2041, the feature topological center plane is determined.

[0112] Such as Figure 5 The above is a schematic flow diagram of a complete center-subgraph method.

[0113] In step 2042, a component attribute adjacency graph is constructed through the surface and the topological relationship of the surface in the BRep structure of the component model.

[0114] In step 2043, the subgraph is searched starting from the central plane, and the minimum conditional subgraph matching the feature adjacency graph is obtained.

[0115] In step 2044, the minimum cond...

Embodiment 3

[0128] This example will start from Figure 5 In the way of explaining several main execution modules, it introduces how the embodiment of the present invention obtains the geometric attributes in the machining features according to the MBD part model. Wherein, the method for describing the MBD part model is based on geometric voxel information. Therefore, in this embodiment, the key step objects involved in the center-subgraph matching will be sequentially selected: part attribute adjacency graph, part generalized attribute adjacency graph, generalized processing surface adjacency graph, predefined feature attribute adjacency graph, minimum condition subgraph And homogeneous feature sub-atlas several aspects, explain the method and principle of realization. The center-subgraph matching is proposed by the present invention, and is used to specifically realize step 202 in Embodiment 1, such as Figure 5 As shown, the center-subgraph matching method specifically includes:

[...

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Abstract

The invention is suitable for the field of intelligent process design, and provides an MBD model based processing feature identification and modeling method. The method comprises: based on PMI extraction, obtaining product manufacturing information; during identification of a geometric attribute of a processing feature, synthesizing one or more pieces of geometric element information into the processing feature according to a topological relation of geometric elements, wherein the geometric attribute of the processing feature includes geometric attributes of the geometric elements; during identification of a process attribute of the processing feature, obtaining the process attribute of the feature from the topological relation of the geometric elements and labeled information associated with the geometric elements according to the geometric attribute of the processing feature; and finishing processing feature modeling according to the geometric attribute of the processing feature and the process attribute of the processing feature. According to an embodiment of the invention, a part model is analyzed from a process perspective, the processing feature is defined, and PMI information is converted into the process attribute of the processing feature. The method increases the utilization rate of a three-dimensional CAD model and has important significance for exciting the positivity of three-dimensional CAD application.

Description

technical field [0001] The invention belongs to the field of intelligent process design, and in particular relates to a processing feature recognition and modeling method based on an MBD model. Background technique [0002] In the research of CAD / CAPP / CAM integration technology, there are many methods of processing feature recognition, which can be divided into processing feature recognition based on BRep information, CSG information and mixed information from the perspective of data sources. There are great differences among processing feature recognition methods based on different data sources. [0003] (1) The core of the processing feature recognition method based on BRep information is to identify the feature after matching the geometric boundary of the model with the predefined feature. Typical recognition methods include rule-based feature recognition, subgraph-based feature recognition, and neural network-based feature recognition. [0004] 1) The rule-based proces...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 陈卓宁李建勋冯劲松
Owner WUHAN KAIMU INFORMATION TECH
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