A multi-body feature recognition method for complex structural parts

A technology of feature recognition and complex structure, applied in the field of feature recognition, to achieve the effect of high accuracy

Active Publication Date: 2011-12-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF1 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the multi-body feature recognition method for structural parts in the existing CAD / CAPP / CAM system, and provide a multi-body feature recognition method for complex structural parts

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A multi-body feature recognition method for complex structural parts
  • A multi-body feature recognition method for complex structural parts
  • A multi-body feature recognition method for complex structural parts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0038] figure 1 It is a flow chart of the multi-body feature recognition method for complex structural parts of the present invention, as shown in the figure, including the following steps:

[0039] Before the execution of feature recognition, it is necessary to define the feature seed surface, feature recognition extension rules and compound feature combination rules, respectively form the seed surface definition library, extension rule library and combination rule library for calling in the feature recognition process.

[0040] The processing features involved in the present invention include holes, grooves, contours, and rib features. The hole feature is composed of hole wall, upper top surface, lower top surface, upper loop line, and lower loop line; the slot feature is composed of slot web, side wall, corner, bottom angle, top surface, convex depr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for identifying the characteristics of a complex structure in a multi-body mode. The method comprises the following steps of: performing pre-processing such as establishment of a processing coordinate system, setting of a parting surface and read-in of total information; re-naming topological elements of all part bodies to guarantee the uniqueness of identifiers of the topological elements, constructing a holographic attribute surface edge graph of parts, and defining seed surfaces of the characteristics of a hole, a groove, a contour, a rib and the like; and searching the seed surfaces of various kinds of characteristics based on the holographic attribute surface edge graph, sequentially identifying the simple characteristics which contain only one seed surface according to a trace extension rule, combining the simple characteristics, thus obtaining composite characteristic which contains a plurality of seed surfaces, extracting characteristic parameters, and thus obtaining an automatic characteristic identification result. The invention has the advantages that: the method is high in identification efficiency and high in accuracy rate; the problemof multi-body identification is solved; and the difficulties that curves, convex characteristics and edge characteristics cannot be effectively identified and that broken surfaces cannot be restrained can be effectively overcome.

Description

technical field [0001] The invention relates to a feature recognition method, in particular to a multi-body feature recognition method of complex structural parts, and belongs to the technical field of CAD / CAPP / CAM. Background technique [0002] After years of development and successful application in enterprises, CAD, CAPP, and CAM systems have played a significant role in product design, process design, and NC programming. However, these systems are independent and cannot realize automatic conversion and sharing of information between systems, and the degree of automation and efficiency in the application process are low. The integration of CAD / CAPP / CAM for the purpose of improving the automation and efficiency of product design, process design and NC programming has become an urgent need in the industry. Feature recognition technology is an effective way to realize CAD / CAPP / CAM integration. [0003] Complex structural parts (such as aircraft structural parts) rely heavil...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 李迎光刘长青刘旭王伟李海楚王伟
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap