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Quantitative Study on MFL Signal of Pipeline Composite Defect Based on Improved Magnetic Charge Model

Bin Liu, Ning Luo, Feng Gang

2021Sensors30 citationsDOIOpen Access PDF

Abstract

Pipeline magnetic flux leakage (MFL) internal detection technology is the most widely used and effective method in the field of long-distance oil and gas pipeline online detection. With the improvement of data quantization precision, the influence of stress on MFL signal has been paid more and more attention. In this paper, the relationship between stress and saturation magnetization is introduced based on J-A theory. The analytical model of MFL detection signal for pipeline composite defects is established. The MFL signal characteristics of composite defects are quantitatively calculated. The effect of stress on MFL signal is studied. The theoretical analysis is verified by experimental data and excavation results. The researches show that the saturation magnetization of ferromagnets decreases exponentially with the increase of stress in strong magnetic field. The MFL signal of composite defect is weaker than that of volumetric defects of the same dimension. The axial amplitude and radial peak-to-peak value of MFL signal decrease with the increase of stress around the defect. The axial amplitude and radial peak-to-peak value of MFL signal increase non-linearly with the increase of width and depth of defects. When using MFL signal to judge the defect depth, it is necessary to make clear whether there is stress concentration phenomenon around the defect because the stress will lead to underestimation of the defect depth.

Topics & Concepts

AmplitudeMagnetic flux leakageSIGNAL (programming language)Saturation (graph theory)AcousticsStress (linguistics)Materials scienceMagnetizationMechanicsMagnetic fieldStructural engineeringEngineeringPhysicsMathematicsOpticsComputer scienceLinguisticsQuantum mechanicsCombinatoricsProgramming languagePhilosophyNon-Destructive Testing TechniquesUltrasonics and Acoustic Wave PropagationMagnetic Properties and Applications
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