Fan blade fatigue limit attenuation intelligent monitoring method based on image recognition

A fan blade and fatigue limit technology, which is applied in the field of intelligent monitoring of fan blade fatigue limit attenuation, can solve the problems of errors, inability to accurately reflect the difference in engine use environment and use intensity, etc., achieve simple process, save research funds, and shorten the research cycle Effect

Pending Publication Date: 2021-01-29
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

The above results show that there is a significant difference in the fatigue limit reduction of fan blades of different levels, and the idea of ​​considering engine life based on service time is a relatively traditional fleet-based engine life management model, which cannot accurately reflect the service environment and service intensity of each engine The results analyzed by this method will show obvious errors on different engines of the same model

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  • Fan blade fatigue limit attenuation intelligent monitoring method based on image recognition
  • Fan blade fatigue limit attenuation intelligent monitoring method based on image recognition
  • Fan blade fatigue limit attenuation intelligent monitoring method based on image recognition

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Embodiment Construction

[0049] The present invention is described in further detail now in conjunction with accompanying drawing.

[0050] Such as figure 1 As shown, the present invention provides a method for intelligent monitoring of fan blade fatigue limit attenuation based on image recognition, comprising the following steps:

[0051] S1. Build a fast microscopic analysis system for fan blades, input the three-dimensional coordinates of the blade surface into the system, and the lens moves autonomously according to the blade surface, so as to realize rapid microphotographing of specific areas on the blade surface.

[0052] The rapid microanalysis system is divided into a positioning module and a shooting module. The positioning module has three translational degrees of freedom and one rotational degree of freedom, which can move autonomously according to the leaf shape data under program control, and move different areas of the blade surface to the microscopic shooting area; the shooting module in...

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Abstract

The invention discloses a fan blade fatigue limit attenuation intelligent monitoring method based on image recognition. The method comprises the steps that S1, building a fan blade rapid microscopic analysis system; S2, shooting the surfaces of a new fan blade and an old fan blade according to a sweeping mode to obtain complete micrographs of different blades; S3, analyzing a micrograph, and extracting damage characteristics of scratches, cracks and pits on surfaces of leaves; S4, quantifying state parameters of blade surface damage ; S5, carrying out vibration fatigue tests on the new fan blades and the old blades with different service duration; S6, obtaining fatigue limit data of the blades; S7, realizing a method for establishing a response surface through training data based on an artificial intelligence algorithm of a small sample; and S8, establishing a fatigue limit recession intelligent prediction algorithm based on the blade surface state characteristics to obtain a corresponding relationship between the blade surface damage state parameters and the blade fatigue limit degradation degree. The invention can quickly predict the attenuation of the fatigue limit of the blades.

Description

technical field [0001] The invention belongs to the technical field of blade fatigue limit attenuation monitoring, and in particular relates to an image recognition-based intelligent monitoring method for fan blade fatigue limit attenuation. Background technique [0002] The fan blade is an important part of the aviation turbofan engine. Its safety and integrity have a great impact on the performance of the whole machine. In addition, it has the characteristics of thin blade shape, large number, severe load state and complex working environment. The fan blade in the engine It has been listed as one of the structural parts with the highest failure rate. The fan blades are located at the front end of the engine, and their own dynamic characteristics are sensitive to the service environment, resulting in various and complex damage modes of the blades. The blade vibration caused by the excitation of uneven airflow is unstable and random, so it is impossible to use the load spec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/20G06F30/17G06T7/00G06T7/62F04D27/00G06F119/04
CPCF04D27/001G06Q10/04G06T7/0004G06T2207/10056G06T7/62G06F30/17G06F30/20G06F2119/04
Inventor 牛序铭彭秋洪孙志刚宋迎东李亚松
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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