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Method for accurately dividing blade cross section character point cloud

A cross-sectional feature and point cloud technology, which is applied in the field of computer data processing, can solve the problems of large fitting error of the '+' mark segment and wrong curve fitting of the leaf basin segment, etc.

Inactive Publication Date: 2014-12-10
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, the fitting error of the '+' marked section on the back of the leaf is relatively large, and the curve fitting error of the leaf basin section is also wrong

Method used

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  • Method for accurately dividing blade cross section character point cloud
  • Method for accurately dividing blade cross section character point cloud
  • Method for accurately dividing blade cross section character point cloud

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Embodiment Construction

[0025] The present invention will now be described in further detail in conjunction with the accompanying drawings and preferred embodiments. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0026] The parts of the blade section are defined as figure 1 Shown: Includes leaf pot, leaf back, leading edge, and trailing edge.

[0027] When dividing the characteristic point cloud of some special blade sections, the commonly used convex hull algorithm or improved convex hull algorithm has obvious shortcomings, and the points originally located on the back of the blade section will be divided into the leaf basin or directly delete. Such as figure 2 as shown, figure 2 The points marked with '+' in the middle originally belonged to the leaf back, but they were not convex hull points. When using the convex hull algor...

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Abstract

The invention relates to a method for accurately dividing a blade cross section character point cloud. According to the method, firstly, initial dividing is achieved by extracting a midpoint of every two adjacent points in the point cloud; secondly, the parameters of a front edge and the parameters of a back edge are accurately extracted; thirdly, the intersections with the front edge and the intersections with the back edge are deleted from a blade pot point set and a blade back point set respectively so that the character point cloud can be accurately divided, wherein the blade pot point set and the blade point set are formed through initial dividing. The method overcomes the defects of a convex hull algorithm and an algorithm improved on the basis of the convex hull algorithm without loss of generality, and is suitable for dividing cross section character point clouds of blades within a wider range, and accuracy of extracting of the subsequent blade molded face feature parameters is guaranteed.

Description

[0001] technical field [0002] The invention relates to the field of computer data processing, in particular to an accurate division method applicable to the division of the cross-sectional characteristic point clouds of blades in a wider range. Background technique [0003] The blade is one of the core parts of the aero-engine, which has technical characteristics such as strong twist, thin-walled parts, easy deformation, and low damage. The detection accuracy of the blade directly affects the performance of the engine, so strict detection methods must be adopted. Most of the measurement methods judge whether the blade is qualified by detecting the characteristic parameters of the blade section. Therefore, it is of high value to extract the blade section parameters with high precision and high efficiency. [0004] Accurate division of blade section characteristic point cloud is the premise of extracting blade section parameters. At present, the commonly used section divis...

Claims

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Application Information

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IPC IPC(8): G06F9/50
Inventor 周军梁齐龙廖华丽王心坚邵冰冰傅昱平
Owner HOHAI UNIV CHANGZHOU
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