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Low-cycle fatigue damage quantitatively characterizing method based on metal magnetic memory detection technology

A metal magnetic memory and low-cycle fatigue technology, applied in the direction of material magnetic variables, can solve the problem of inability to quantitatively characterize fatigue damage, and achieve the effect of a reliable quantitative mechanical characterization method

Active Publication Date: 2009-03-25
BEIJING AVIATION MATERIAL INST NO 1 GRP CORP CHINA AVIATION IND
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

However, the current research on metal magnetic memory detection technology only analyzes the change characteristics of the magnetic memory signal and its characteristic parameters, and cannot quantitatively characterize the fatigue damage.

Method used

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  • Low-cycle fatigue damage quantitatively characterizing method based on metal magnetic memory detection technology
  • Low-cycle fatigue damage quantitatively characterizing method based on metal magnetic memory detection technology
  • Low-cycle fatigue damage quantitatively characterizing method based on metal magnetic memory detection technology

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Effect test

Embodiment 1

[0041] Corresponding stress concentration factor K t = 3 notched pieces were subjected to fatigue tests at three different low-cycle fatigue stress levels (the fatigue stresses were 0.93σ 0.2 , 0.76σ 0.2 and 0.58σ 0.2 ), using the Xiamen Edson EMS2003 intelligent magnetic memory / eddy current detector to detect the metal magnetic memory signal of the notched parts under different fatigue cycles. According to steps 1 to 5 of the technical solution, the magnetic memory signal characteristic parameters and related data are processed, and a continuous damage mechanics low cycle fatigue damage model based on the magnetic memory signal characteristic parameters is established. They are as follows:

[0042] Based on the magnetic memory signal characteristic parameter H p (y) sub The low cycle fatigue damage model:

[0043] 0.93σ 0.2 :D=0.45-0.43868(1-N / N f ) 0.22836 (7)

[0044] 0.76σ 0.2 :D=0.45-0.27767(1-N / N f ) 0.29091 (8)

[0045] 0....

Embodiment

[0060] Example: Stress Concentration Factor K t The notch of =5 is based on the characteristic parameter H of the magnetic memory signal p (y) sub Characterization of low cycle fatigue damage

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Abstract

The invention utilizes a metal magnetic memory detection technology and relates to a method for the quantitative characterization of low cycle fatigue damage based on the metal magnetic memory detection technology. The method adopts a metal magnetic memory detector to detect gap pieces with different low cycle fatigue damage degrees and obtains magnetic memory signals under different damage degrees; characteristic parameters Hp(y)sub and Kmax of the magnetic memory signal are extracted; the Hp(y)sib and Kmax are used as damage variables in damage mechanics to establish damage degree expression models; and on the basis, a continuous damage mechanical model of low cycle fatigue damage of a quantitative characterization material is established based on the metal magnetic memory detection technology, thereby obtaining the method for the quantitative characterization of low cycle fatigue damage of a ferromagnetic material. The method combines the metal magnetic memory detection technology and the damage mechanics, and carries out the quantitative characterization on the low cycle fatigue damage of the ferromagnetic material. The method adopts a nondestructive detection method to carry out the quantitative mechanical characterization on material damage and can realize on-line real-time monitoring and safety evaluation.

Description

technical field [0001] The invention utilizes metal magnetic memory detection technology and relates to a quantitative characterization method for low cycle fatigue damage based on metal magnetic memory detection technology. Background technique [0002] Ferromagnetic materials are the most widely used and used metal materials in modern industry. However, most parts of ferromagnetic materials are subject to periodically changing fatigue stress. According to statistics, 60% to 80% of their failures are due to fatigue fracture failures caused by various microscopic and macroscopic stress concentrations and fatigue cumulative damage. Therefore, it is crucial for fatigue life prediction and quantitative damage characterization of ferromagnetic materials. At present, the fatigue life analysis method generally adopts the test analysis method or the analysis method combining test and statistical experience. The former completely relies on tests to obtain fatigue performance data....

Claims

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Application Information

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IPC IPC(8): G01N27/82G01N27/80
Inventor 刘昌奎陶春虎陈星张兵白明远李莹侯学勤胡春燕
Owner BEIJING AVIATION MATERIAL INST NO 1 GRP CORP CHINA AVIATION IND
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