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Automatic detection method for defects of airplane structural-member model

A technology for automatic detection of aircraft structural parts, applied to measuring devices, instruments, scientific instruments, etc., can solve problems such as low accuracy

Active Publication Date: 2015-04-08
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the low accuracy of the existing detection methods, the present invention provides an automatic detection method for model defects of aircraft structural parts

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  • Automatic detection method for defects of airplane structural-member model
  • Automatic detection method for defects of airplane structural-member model
  • Automatic detection method for defects of airplane structural-member model

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Embodiment Construction

[0057] refer to Figure 1-3 . The specific steps of the automatic detection method for aircraft structural part model defects of the present invention are as follows:

[0058] 1. Defect judgment rule extraction. The mechanism of digital-analog defects and their characteristics at the geometric and topological levels are analyzed, summarized, and the corresponding judgment rules are extracted, and applied to the identification of defects. For the new digital-analog defect, according to its structural characteristics, whether it belongs to the existing defect type, if not, it is necessary to formulate its corresponding judgment rules.

[0059] 2. Extraction and synthesis of digital and analog parameters. For the structural part model to be detected, the geometric parameters and topological properties of the three levels of surface, edge and point are extracted. For faces: include face types (base faces, transition faces, and other types of faces), face areas, face directiona...

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Abstract

The invention discloses an automatic detection method for defects of an airplane structural-member model, and the method is used to solves the technological problem that a conventional detection method is low in accuracy. The technical scheme comprises that three-dimension model defects are classified in detail according to the characteristics of the defects in practical numerical-control processing, and the generation mechanism of the three-dimension model defects and the characteristics of the three-dimension model defects in a geometrical layer and a topological layer are analyzed, and a corresponding determination rule is concluded and extracted for identifying defects. Aiming at a to-be tested structural-member model, the geometrical parameters at three levels of surface, edge and point and the topological attributes of the model are extracted, and different attribute parameters of multiple surfaces, edges or points in a local structure are mixed together for together representing the local structure defects. The attribute parameters extracted from the to-be detected three-dimension model are matched with the defect determination rule, and is matched, the fact that the model has the kind of defect is shown. The method combines the structural relation between the three-dimension model defects and the intersection characteristics, and accurately identifies the three-dimension model defect structure according to conditions.

Description

technical field [0001] The invention relates to a three-dimensional model detection method, in particular to an automatic detection method for model defects of aircraft structural parts. Background technique [0002] The document "Blend recognition algorithm and applications [C]. Proeeeding of the sixth ACM symposium on Solid modeling and applications, 2001:99-108." discloses a transition feature recognition algorithm based on rolling ball technology. This method deduces the order in which transition features are created in the model through the boundary representation (B-rep) of the model, helping users understand the design intent of the model. At the same time, a hybrid recognition module is created in the feature recognition library, and the transition features and their topology, geometric structure and related parameters are recognized in the form of grids in the model of complex structure. Based on the requirements of model design, comprehensive consideration is given...

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Application Information

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IPC IPC(8): G01N33/00
Inventor 张树生黄瑞徐昌鸿黄波张聪聪
Owner NORTHWESTERN POLYTECHNICAL UNIV
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