Magnetic memory signal detection method based on improved j-a model

A signal detection, J-A technology, applied in the direction of material magnetic variables, etc., can solve the problem of no unified conclusion and quantitative analysis of the force-magnetic coupling mechanism of magnetic memory signals

Active Publication Date: 2021-12-14
SHENYANG POLYTECHNIC UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The magnetic memory method can effectively determine the stress concentration area of ​​ferromagnetic metal components, but neither Newtonian mechanics nor Maxwell's equations have elaborated on the force-magnetic coupling, and there is no unified conclusion on the force-magnetic coupling mechanism of the magnetic memory signal.
In addition, plastic deformation is the main reason for the failure of ferromagnetic metal components, but there is no effective method to quantitatively analyze the characteristics of the magnetic memory signal after the plastic deformation of the material, and the model for the magnetic memory signal is also a bottleneck in this field

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
  • Magnetic memory signal detection method based on improved j-a model
  • Magnetic memory signal detection method based on improved j-a model
  • Magnetic memory signal detection method based on improved j-a model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0092] The present invention comprises the following steps:

[0093] Step 1): Build a magnetic model

[0094] When there is no external force, the ferromagnetic material is in equilibrium, and the total free energy of the material is:

[0095] E. 0 =E ms +E el +E K (1)

[0096] Among them, E ms is the magnetoelastic energy of the ferromagnetic crystal, which represents the energy generated by the interaction between ferromagnetism and elasticity, expressed as:

[0097]

[0098] In formula (2), B 1 with B 2 are the magnetoelastic coupling coefficients under magnetization and deformation, respectively; α i with alpha j Indicates the angle between the magnetization direction and the corresponding crystal axis; e ii with e ij Indicates the deformation component (i, j=x, y, z)

[0099] E. el is the elastic energy, which means the interaction force between atoms when the material undergoes elastic deformation, according to elastic mechanics:

[0100]

[0101] I...

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

PropertyMeasurementUnit
diameteraaaaaaaaaa
thicknessaaaaaaaaaa
Login to view more

Abstract

A magnetic memory signal detection method based on an improved J-A model belongs to the technical field of magnetic memory signal detection of ferromagnetic materials, and in particular relates to a magnetic memory signal detection method based on an improved J-A model. The invention provides a magnetic memory signal detection method based on the improved J-A model. The present invention includes the following steps: step 1): establishing a magnetic mechanics model; step 2): establishing an improved J-A model; and also includes a simulation modeling part for verifying the accuracy of the algorithm.

Description

technical field [0001] The invention belongs to the technical field of magnetic memory signal detection of ferromagnetic materials, and in particular relates to a magnetic memory signal detection method based on an improved J-A model. Background technique [0002] Pipeline transportation is one of the main methods of international oil and gas transportation. It has the advantages of large transportation volume, not restricted by climate and other ground factors, continuous operation and low cost. [0003] The safety maintenance of long-distance oil and gas pipelines is the core issue of pipeline operation. Judging from the analysis of pipeline accidents in recent years, new pipeline accidents occur frequently, and at this time the macroscopic defects of the pipe body have not been fully formed. Conventional non-destructive testing techniques such as magnetic particle, magnetic flux leakage, eddy current and infiltration have played an important role in pipeline defect monit...

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): G01N27/85
CPCG01N27/85
Inventor 刘斌何璐瑶郑思檬张贺任建
Owner SHENYANG POLYTECHNIC 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