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Intelligent feature identification method facing STEP-NC 2.5D manufacturing features

A STEP-NC2.5D, feature recognition technology, applied in the field of numerical control, can solve the problems of recognition feature limitations, low accuracy, weak intelligence, low efficiency, etc., and achieve the effect of overcoming slow convergence speed

Inactive Publication Date: 2018-05-08
NORTHEASTERN UNIV
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Problems solved by technology

[0013] In view of the deficiencies in the prior art, the present invention is to provide an intelligent feature recognition method for STEP-NC2.5D manufacturing features, which solves the limitations, low accuracy and low efficiency of the existing method for identifying features and less intelligent problems

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Embodiment Construction

[0063] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0064] Such as figure 1 Shown: a kind of intelligent feature recognition method facing STEP-NC2.5D manufacturing feature, it is characterized in that comprising the following steps:

[0065] Step 100, constructing a minimum subgraph based on a STEP neutral file, mainly including geometric topology information extraction based on a STEP neutral file and generation of a minimum subgraph based on edge convexity judgment.

[0066] The geometric topology information extraction based on the STEP neutral file includes:

[0067] Read in the STEP neutral file exported by the CAD system;

[0068] Search for lines containing the CLOSED-SHELL keyword in said STEP neutral fi...

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Abstract

The present invention discloses an intelligent feature identification method facing STEP-NC 2.5D manufacturing features. The method comprises the following steps of: constructing the minimum subgraphbased on a STEP neutral file, wherein the construction mainly comprises extraction of geometric topology information based on the STEP neutral file and generation of the minimum subgraph based on convexity-concavity identification of edges; and performing feature identification through a neural network based on chaos-genetic algorithm optimization. The method disclosed by the invention combines the chaos-genetic algorithm, a genetic algorithm and a BP artificial neural network to overcome defects that BP nerve is low in convergence speed and is easy to fall into a local extreme, can effectively and accurately identify STEP-NC 2.5D manufacturing features, and has an active reference value for further improvement and enforcement of a STEP-NC standard.

Description

technical field [0001] The invention relates to the technical field of numerical control, in particular to an intelligent feature recognition method for STEP-NC2.5D manufacturing features. Background technique [0002] The currently widely used ISO6983 standard system is no longer suitable for the field of machinery manufacturing, so the International Organization for Standardization ISO proposed a new object-oriented international standard STEP-NC for NC programming data interface. This standard contains all the information of product processing and provides an object-oriented neutral mechanism for describing product NC data. It does not involve specific processing actions in essence but only describes "what to process" oriented to objects and features. This standard supports two-way data transmission between CAD / CAM and CNC systems; facilitates the sharing and network transmission of processing data; and can improve production efficiency. Therefore, the emergence of STEP-...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06N3/12
CPCG06N3/084G06N3/126G06V30/422G06N3/045G06F18/2413
Inventor 张禹曾奇峰木国栋杨亚飞
Owner NORTHEASTERN UNIV
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