Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A digital ray zone detection method for large gas turbine blades

A gas turbine blade and digital ray technology, which is applied in image analysis, image data processing, special data processing applications, etc., can solve the problems of complex partition operation, blade occlusion, and reduced detection efficiency, so as to improve imaging quality, realize precise positioning, The effect of reasonable thickness distribution

Active Publication Date: 2020-03-31
XI AN JIAOTONG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: the lead wire occlusion is the blind area of ​​the detection, and the detection process is complicated; the cost of the film is high and it is difficult to save; the evaluation is usually done manually, which is greatly affected by experience and subjectivity
The traditional partition method greatly reduces the effective transillumination area due to the serious shielding of the leaves by the lead wire
And the partition operation is complicated, which greatly reduces the detection efficiency
Since the curvature and thickness of the leaves change continuously, the gray level of the image after transillumination changes evenly, and it is difficult to stitch the partitioned images
The traditional partition method has no specific quantitative standard, and there is no specific regulation on the parameters of the partition

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 digital ray zone detection method for large gas turbine blades
  • A digital ray zone detection method for large gas turbine blades
  • A digital ray zone detection method for large gas turbine blades

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Aiming at two key problems faced in gas turbine blade partition detection, the present invention proposes a blade region segmentation method for partition detection and a partition image splicing method, proposes an effective division standard for region division, and improves the accuracy of defect detection.

[0056] A digital ray detection system is composed of an X-ray source and a flat-panel detector. The X-ray source performs transillumination on the blade to be tested with six sets of transillumination parameters. On the flat-panel detector, an image gray scale that transitions from bright all-white to all-black is formed to determine each The thickness of the partition changes, divides each transillumination partition, cuts out the effective area, and finally completes the splicing of the partition image.

[0057] Specifically include the following steps:

[0058] S1. Select an appropriate transillumination direction according to the imaging size of the flat pan...

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 blade digital ray partition detection of a large gas turbine. An X ray source and a flat panel detector are adopted to form a digital ray detection system. The X ray source performs transillumination on a to-be-measured blade through six groups of transillumination parameters, image gray undergoing transition from highlight all white to all black is formed on the flat panel detector, thickness change in each partition is determined, each transillumination partition is divided, an effective coverage is obtained through cutting, and finally splicing of a partition image is finished. According to the method, a ray transillumination area can be enlarged, operation is simplified, detection efficiency is improved, the method for blade digital ray partition detection of the gas turbine is standardized, internal defects of the gas turbine blade are extracted quickly, and the method is simple to operate, low in requirements for workers' technical level, high in efficiency during large-scale factory detection and high in practicality.

Description

【Technical field】 [0001] The invention belongs to the field of industrial ray non-destructive testing, and relates to a partition detection method applied to blades of large gas turbines. 【Background technique】 [0002] A gas turbine is a rotating impeller power machine. During work, the high-speed flowing fuel-air mixture (working medium) impacts the impeller to make it rotate, and then converts the internal energy and kinetic energy of the working medium into the kinetic energy of the impeller and acts externally through the output shaft. Gas turbines are widely used in two fields: on the one hand, they can be used as the energy input source of generating sets in the power generation system; on the other hand, they can be used as the engines of large ships to provide power for them. Gas turbines are power equipment of great strategic significance, but my country has not yet fully mastered the core technology of gas turbines, and related products mainly rely on foreign imp...

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 Patents(China)
IPC IPC(8): G06F30/23G06T3/40G06T7/00G06T7/60G06T11/00G06T7/11
CPCG06F30/23G06T3/4038G06T7/0004G06T7/60G06T11/005G06T2207/30168
Inventor 李兵陈磊周浩高梦秋魏翔李应飞李章兵
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products