Blade profile extraction method based on blade profile measurement point cloud

An extraction method and surface measurement technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as difficult to ensure accurate acquisition of leaf contour data, achieve high calculation efficiency, improve quality and speed

Active Publication Date: 2020-05-26
XI AN JIAOTONG UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Discrete sampling of the blade profile can be realized by using optical scanning measurement, but due to the limitation of sampling density, it is difficult to ensure accurate acquisition of the profile data at the specified section o

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
  • Blade profile extraction method based on blade profile measurement point cloud
  • Blade profile extraction method based on blade profile measurement point cloud
  • Blade profile extraction method based on blade profile measurement point cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to improve the integrity and accuracy of blade body sampling, it is necessary to increase the sampling density, but this will lead to a huge amount of data on the blade surface sampling points. A complete blade surface point cloud collected by measuring the host, the number is about 2.8×10 7 , reaching tens of millions, such as figure 1 shown. If the leaf shape is extracted directly, it will inevitably cause a waste of computing resources and a long processing time due to a large amount of redundant data, which is difficult to apply to engineering practice. Applying the technology of the present invention can effectively solve the above technical problems.

[0053] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] The blade shape extraction method based on the point cloud of the blade shape measurement provided by the present invention specifically includes three steps of point cloud...

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 blade profile extraction method based on blade profile measurement point cloud. Firstly, the invention studies a preprocessing method for improving profile reconstruction quality and speed, and the preprocessing method comprises a plurality of steps of segmentation, statistical filtering and simplification based on an octree structure. Secondly, the method includes researching a profile reconstruction method of a grid envelope, and performing spatial interpolation on a fixed-height blade profile to calculate accurate blade profile data; specifically, the method adoptsan outlier filtering method based on distance statistics to carry out data filtering, and includes preprocessing the point cloud data based on octree data structure point cloud simplification and other technologies; then, combining reconstruction algorithm based on region growth with a Delaunay criterion to realize rapid reconstruction of the blade point cloud; and finally, intersecting a plane with a specified height in a part drawing with a topological grid, and finishing extraction of blade profile data through spatial interpolation. The method is high in calculation efficiency, overcomesthe problem that the blade profile characteristics are difficult to accurately reserve in a projection method, and has a good engineering application prospect.

Description

technical field [0001] The invention belongs to the field of precision measurement, and in particular relates to a leaf shape extraction method based on a point cloud of blade surface measurement. Background technique [0002] Blades are a core component of aero-engines, accounting for about 30% of the entire engine manufacturing. The blade is a thin-walled part, and it works in harsh working conditions such as high load and complex force. In order to ensure its special performance, the airfoil profile is usually designed as a free-form surface, which has strict requirements on size and shape accuracy and strict surface integrity, and requires high manufacturing precision. The overall size span of the blade is large and the shape is complex, and processing such as casting or milling is easy to cause deformation. The quality of the blade has a great influence on the secondary flow loss of the engine, which directly determines its energy conversion efficiency. Therefore, it...

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
IPC IPC(8): G06T7/11
CPCG06T7/11G06T2207/10028G06T2207/20024Y02E10/72
Inventor 丁建军陈鹏刘阳鹏郭静洋贺梓洲宋明明李涛蒋庄德
Owner XI AN JIAOTONG UNIV
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