Method used for realizing blade fatigue crack detection through static blade displacement detection

A fatigue crack and static displacement technology, applied in the field of blade fatigue crack detection, can solve problems such as the inability to detect the health status of rotor blades

Active Publication Date: 2016-02-24
善测(天津)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods can only be measured when the relevant equipment is shut down, and cannot detect the health status of the rotor blades in real-time operation

Method used

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  • Method used for realizing blade fatigue crack detection through static blade displacement detection
  • Method used for realizing blade fatigue crack detection through static blade displacement detection
  • Method used for realizing blade fatigue crack detection through static blade displacement detection

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Embodiment Construction

[0033] In terms of on-line detection of blade cracks, there is no mature technology at present, and it is also a current research hotspot. The blade is equivalent to a cantilever beam. When there is a crack, the vibration mode curve will be discontinuous at the crack. If the blade mode curve can be measured, the accurate identification of the blade crack parameters can be realized.

[0034] The invention is a method for detecting fatigue cracked blades by measuring, analyzing and comparing the vibration parameters of rotating blades. Specifically, the online detection of blade fatigue cracks is realized by measuring the blade static displacement of the fatigue cracked blades and comparing the parameters of normal blades.

[0035] The invention aims to find a method to realize the identification of fatigue cracked blades in the early stage of blade cracks, and minimize the impact of blade cracks on the safe operation of rotating machinery.

[0036] The inquiry method that the p...

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Abstract

The invention relates to the rotation machinery / blade detection technology field, realizes detection on a health state of a blade under extreme work environments, e.g., high temperature, high pressure, high centrifugation rotation speed, and so on, carries out fault diagnosis and realize identification on a crack blade at an early period of blade crack generation. The method comprises steps that, 1, finite analysis software Ansys1 is utilized to analyze the rotor blade; 2, modal simulation for the blade is carried out under a static state; 3, the blade is loaded with certain aerodynamic force in the Ansys software for analyzing stress distribution and deformation; 4, a model is established for the crack blade; 5, deformation of the crack blade in a certain rotation speed and at a specific depth is analyzed; and 6, vibration curves of a normal blade and a crack-adding blade in the work state are compared. The method is mainly applied to blade detection.

Description

technical field [0001] The invention relates to the technical field of rotating machinery / blade detection, in particular to a method for detecting blade fatigue cracks by detecting the static displacement of the blade. Background technique [0002] As the core part of the function conversion of the rotating machine, the resonance environment of the blade is harsh, especially when the aero-engine is running, the blade works in the extremely harsh environment of high temperature, high pressure, high centrifugal force and high aerodynamic load, and is prone to high vibration under the action of alternating force. Due to fatigue damage, cracks are generated. With the development of cracks, the blades may break, causing serious accidents and having a great impact on the safe operation of the entire engine. [0003] During the working process of the rotor, in addition to the periodic exciting force, the blade will also be subjected to static forces such as centrifugal force, which...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G01N33/00
CPCG01M13/00G01N33/00G01N2033/0083
Inventor 段发阶程仲海郭浩天蒋佳佳郑好张济龙杨毅李刚汪猛李秀明牛广越
Owner 善测(天津)科技有限公司
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