Research on the Analytical Model of Improved Magnetic Flux Leakage Signal for the Local Stress Concentration Zone of Pipelines

Yang, Lü; Zheng, Fuyin; Ping, Huang; Bai, Shi; Su, Yu-Ming

doi:10.3390/s22031128

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…According to Equation ( 4), it can be deduced that the normal and tangential components of the magnetic flux intensity in the stress concentration zone [19,20] on the inner wall of the pipeline are as follows:…”

Section: Spatial Distribution Modelmentioning

confidence: 99%

Propagation Characteristics of Magnetic Tomography Method Detection Signals of Oil and Gas Pipelines Based on Boundary Conditions

Liu

Yang

Song-Wei

2022

Sensors

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The magnetic tomography method (MTM) is a non-contact external inspection method for detecting metal magnetic memory signals. It has great potential for application in long-distance oil pipeline and subsea pipeline inspection. However, the spatial distribution characteristics and propagation laws of magnetic signals are not yet clear, which makes the MTM passive detection. In this study, a three-dimensional mathematical model of the magnetic field distribution of the stress concentration zone outside the pipe was established based on the boundary conditions. For the two cases in which the stress concentration zone was located at the top and bottom of the inner wall of the pipe, the model was solved by finite element analysis. The variation law of the magnetic signal outside the pipe was analyzed, and experiments were designed to verify the model. The results show that the shape of the magnetic memory signal remained unchanged after passing through the pipe wall. As the magnetic permeability of the pipe medium is much larger than that of air, the magnetic memory signal is significantly attenuated after penetrating the pipe wall. As the detection height increases, the magnetic induction outside the tube decays exponentially. The results also prove that the magnetic tomography method can detect the stress concentration zone at any position of the pipeline, and the detection accuracy is higher when it is located at the top of the pipeline.

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Section: Spatial Distribution Modelmentioning

confidence: 99%

Propagation Characteristics of Magnetic Tomography Method Detection Signals of Oil and Gas Pipelines Based on Boundary Conditions

Liu

Yang

Song-Wei

2022

Sensors

Self Cite

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Numerical analysis and experimental research on detection of welding defects in pipelines based on magnetic flux leakage

et al. 2023

Petroleum Research

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Magnetic leakage behavior assessment in pipeline stress-concentrated areas using improved force–magnetic coupling model

Huang,

Li,

Zheng

et al. 2024

Review of Scientific Instruments

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Magnetic flux leakage (MFL) technology is remarkable for its capability to detect pipeline geometric deformation and general corrosion defects. However, it cannot characterize the MFL behavior in stress-concentrated areas, thereby greatly challenging the subsequent pipeline maintenance. This study suggests that the MFL characteristics of pipeline in stress-concentrated areas are caused by the combined effect of the face magnetic charge on the deformed end-face and the body magnetic charge of the dislocation stack. In addition, an improved force–magnetic coupling model of the pipeline in stress-concentrated areas is established based on the magnetic dipole model and Jiles–Atherton (J–A) theory. In the verification experiment, the Q235 steel plate is magnetized along the extension direction (axis of the pipeline) through the solenoid coil to obtain the distribution law of the MFL signal in the stress-concentrated area under different excitation intensities. The results show that with the increase in excitation intensity, the deformation of the MFL field signal caused by the end-face of the stress-concentrated area gradually increases to a stable state. Moreover, the internal stress of the MFL field signal generated by the pipe dislocation rapidly increases to a peak value and then decays exponentially to a certain base value. The overall change trend is in good agreement with the calculation results of the established force–magnetic coupling model. Meanwhile, the differentiation research between deformation and internal stress MFL field signals under different magnetic field intensities can provide a reliable theoretical basis for the subsequent accurate identification and quantification of pipeline stress-concentrated areas.

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Research on the Analytical Model of Improved Magnetic Flux Leakage Signal for the Local Stress Concentration Zone of Pipelines

Cited by 4 publications

References 35 publications

Propagation Characteristics of Magnetic Tomography Method Detection Signals of Oil and Gas Pipelines Based on Boundary Conditions

Propagation Characteristics of Magnetic Tomography Method Detection Signals of Oil and Gas Pipelines Based on Boundary Conditions

Numerical analysis and experimental research on detection of welding defects in pipelines based on magnetic flux leakage

Magnetic leakage behavior assessment in pipeline stress-concentrated areas using improved force–magnetic coupling model

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