Analytical model of a pipe magnetization by two parallel linear currents

Pechenkov, A. N.; Shcherbinin, V. E.; Smorodinskiy, J.G.

doi:10.1016/j.ndteint.2011.07.014

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…If there is no defect in the material, most magnetic flux lines will pass through the inside of the ferromagnetic material; if not, because the magnetic permeability of the defect site is much smaller than that of the ferromagnetic material itself, magnetic resistance will increase in the defect area, so the magnetic field in the region is distorted. Magnetic flux lines will be bent, some will leak out of the material surface, and a magnetic leakage field will form at the defect area [ 23 , 24 , 25 ]. By using magnetic sensitive sensors to detect the magnetic leakage field, the corresponding electrical signals can be obtained.…”

Section: Principle Model and Influence Parametermentioning

confidence: 99%

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Shi

Zhang

et al. 2015

Sensors

291

125

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Magnetic flux leakage (MFL) detection is one of the most popular methods of pipeline inspection. It is a nondestructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage field of defects on both the internal and external surfaces of pipelines. This paper introduces the main principles, measurement and processing of MFL data. As the key point of a quantitative analysis of MFL detection, the identification of the leakage magnetic signal is also discussed. In addition, the advantages and disadvantages of different identification methods are analyzed. Then the paper briefly introduces the expert systems used. At the end of this paper, future developments in pipeline MFL detection are predicted.

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Section: Principle Model and Influence Parametermentioning

confidence: 99%

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Shi

Zhang

et al. 2015

Sensors

291

125

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“…The weld detector is not only to locate the feature position, but also to be used to align every spool of pipeline in repeat run (Safizadeha and Azizzadeh, 2012). When the IMU ILI tool runs in pipeline, the weld detector records all the pass time (accurate to the millisecond) for every girth weld of the pipeline (Pechenkov et al 2011). The precise calculation of pipeline coordinate from the IMU tool is used to align with each girth weld for ground location and dig conveniently.…”

Section: Principle Component and Sensors For An Imu Ili Toolmentioning

confidence: 99%

Technologies and application of pipeline centerline and bending strain of In-line inspection based on inertial navigation

Cai

Shi

et al. 2017

Transactions of the Institute of Measurement and Control

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Inertial mapping unit (IMU) in-line inspection (ILI) has become routine practice for long-distance buried transport pipelines of oil and gas. It is capable of measuring the pipeline centerline position coordinates and locating the pipeline anomalies, features and fittings to help the oil company manage it. The IMU inspection data also can be used to compute the pipeline bending strain and assess the potential deviation from the original position where endures the extra stress. This paper introduces the main principle, measurement and data processing for IMU ILI. As a key point of calculation for centerline and bending strain, the identification and optimization of the signal are also discussed. At the end of this paper, the developments of IMU ILI are presented. The IMU ILI becomes an important and effective method for pipeline integrity management and safe operation of buried oil and gas pipelines.

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“…On the other hand, for the quantitative analyses of magnetisation processes in such steels under mechanical stresses, a quantitative model of the magnetization process is required. Recently, four most important types of models of magnetization processes have been identified, which may be used for a non-destructive evaluation of the state of steel elements: simple numerical models reflecting changes in the selected magnetic properties [2][3][4], Chua-type models [5], models based on Jiles-Atherton equations [6][7][8][9] and models based on Preisach equations [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

The Application of the Extended Jiles-Atherton Model for Simulating the Magnetic Characteristics of X30CR13 Steel

Szewczyk

Jackiewicz

2015

SSP

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The application of magnetic-property oriented methods for non-destructive testing is very promising due to its low cost and robustness. This paper presents the methodology of simulating the magnetic properties of martensitic X30Cr13 steel applying the extended Jiles-Atherton model. On the basis of experimental measurements, the parameters of the Jiles-Atherton model were determined by an evolutionary strategy together with gradient optimisation. A very good agreement between experimental hysteresis loops and the model was confirmed by a high value of determination coefficient. The presented results open new possibilities of developing methods for non-destructive testing of energetic turbines made of X30Cr13 stainless steel. Moreover, quantitative simulation gives a possibility of a better understanding of magnetisation processes.

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Analytical model of a pipe magnetization by two parallel linear currents

Cited by 8 publications

References 8 publications

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Technologies and application of pipeline centerline and bending strain of In-line inspection based on inertial navigation

The Application of the Extended Jiles-Atherton Model for Simulating the Magnetic Characteristics of X30CR13 Steel

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