A Permeability-Measuring Magnetic Flux Leakage Method for Inner Surface Crack in Thick-Walled Steel Pipe

Deng, Zhiyang; Sun, Yanjing; Kang, Yihua; Song, Kai; Wang, Rongbiao

doi:10.1007/s10921-017-0447-z

Cited by 32 publications

(10 citation statements)

References 22 publications

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“…Therefore, the P-MFL test method has a higher sensitivity and a large detection range, compared to the conventional MFL test method. To illustrate the advantage of the P-MFL method, a crack with depth 1 mm, and 0.5 mm width was taken in a 14.5 mm thickness sample [12].…”

Section: Pipe Cracks Detection Methods -A Reviewmentioning

confidence: 99%

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Pipe Cracks Detection Methods – A Review

2018

IJOMAM

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A comparison between the most important methods for crack detection during external inspection of the pipes is presented. It is meant to choose the best suited one for robotic devices, aimed to perform the pipelines monitoring, because they are often under the action of the environmental stress factors, like high-temperature variation, especially met in the Middle East countries. As a native from the Republic of Iraq, the first author currently works at development of a robot for external inspection of pipes, within his PhD thesis, in order to provide full care to the pipelines, because they are non-replaceable. This way, their performance and reliability can improved and the production stopping is prevented.

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Section: Pipe Cracks Detection Methods -A Reviewmentioning

confidence: 99%

“…More important, an electromagnet is used, flowing through the single coil, from a multi-track loop, where the loop produces a magnetic field required for detection [12].…”

Section: Cracks Detection By Use Of a Magnetic Fieldmentioning

confidence: 99%

Pipe Cracks Detection Methods – A Review

2018

IJOMAM

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“…For this, a finite element analysis was performed in order to obtain the transient configuration of the SCFCL, then the expression of the flow density was obtained by adjusting the curve and, finally, the losses were calculated using the analytical model. Works related to the inspection area by nondestructive techniques presented by Fabrice Foucher et al [13], Zhiyang Deng et al [14] and Satoru Horai et al [15] show the use of finite element analysis methods for the case of eddy currents with magnetic saturation through an external DC field. These were developed by separating the problem into two stages, in the first it analyzed only the interaction of the DC field with the material in order to obtain the distribution of magnetic permeability.…”

Section: Introductionmentioning

confidence: 99%

Numerical Model of Eddy Current Inspection with DC Magnetic Field Associated

Camerini

Rocha

Santos

et al. 2021

J. Mater. Sci. Technol. Res.

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Most non-destructive techniques can be well represented in a virtual environment, in particular, eddy current testing (ECT) simulation is a useful and well-established tool to predict and represent real inspection situations permitting testing customization in a fast, cheap and efficient way. Conventional ECT generally works with low-intensity magnetic fields, however, for advanced variations of the technique, where external DC magnetic fields can be applied to locally decrease the magnetic permeability, there is no Finite Element Method (FEM) packages available to deal with such nonstandard model. Many authors [1] and [2] have presented this ECT solution for different industrial applications using external DC magnetization to carry nonlinear ferromagnetic materials to the saturation level of the magnetization curve to increase the ECT depth penetration. In general, ECT modelling calculation is benefited by properties of steady-state regime where all magnetic fields are oscillating at the same frequency not permitting through multi-frequency calculation. The present work proposes a simulation solution for such a case where DC magnetic field is associated with ECT. A theoretical model is presented together with experimental results validation.

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“…It is frequently utilized for the inspection of pipelines or tubes [ 1 , 4 , 5 , 6 , 7 , 8 , 15 , 16 ], train wheels and axles or rail tracks [ 9 , 17 , 18 , 19 ], steel wire ropes [ 10 , 11 , 20 ], storage tanks [ 15 , 21 ], or steel construction elements [ 2 , 12 , 22 , 23 , 24 ]. The method is suitable for detecting various types of surface, subsurface, and surface-breaking deeper defects in magnetic materials such as metal loss [ 2 , 10 , 11 , 20 ], fatigue damage cracks [ 1 , 2 , 3 , 5 , 8 , 9 , 16 ], pitting corrosion [ 1 , 2 , 5 , 6 ], or plastic deformation [ 1 , 15 , 24 , 25 ]. The relatively small dimensions of the detectors of leaking magnetic flux allow us to apply the method to examine both the external sides [ 1 , 2 , 3 , 4 , 5 , 9 , 10 , 11 ] of the tested objects and the internal sides such as the inner wall of a pipe or hollow axle [ 1 , ...…”

Section: Introductionmentioning

confidence: 99%

“…The method is suitable for detecting various types of surface, subsurface, and surface-breaking deeper defects in magnetic materials such as metal loss [ 2 , 10 , 11 , 20 ], fatigue damage cracks [ 1 , 2 , 3 , 5 , 8 , 9 , 16 ], pitting corrosion [ 1 , 2 , 5 , 6 ], or plastic deformation [ 1 , 15 , 24 , 25 ]. The relatively small dimensions of the detectors of leaking magnetic flux allow us to apply the method to examine both the external sides [ 1 , 2 , 3 , 4 , 5 , 9 , 10 , 11 ] of the tested objects and the internal sides such as the inner wall of a pipe or hollow axle [ 1 , 6 , 8 , 16 , 19 ]. One of the main advantages of the method is the lack of need for direct contact between the inspected element and the sensing device.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Multisensor Data Fusion for Magnetic Nondestructive Evaluation of Defects in Steel Elements under Various Operation Strategies

Psuj

2018

Sensors

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Increasing the number of inspection sources creates an opportunity to combine information in order to properly set the operation of the entire system, not only in terms of such factors as reliability, confidence, or accuracy, but inspection time as well. In this paper, a magnetic sensor-array-based nondestructive system was applied to inspect defects inside circular-shaped steel elements. The experiments were carried out for various sensor network strategies, followed by the fusion of multisensor data for each case. In order to combine the measurements, first data registration and then four algorithms based on spatial and transformed representations of sensor signals were applied. In the case of spatial representation, the data were combined using an algorithm operating directly on input signals, allowing pooling of information. To build the transformed representation, a multiresolution analysis based on the Laplacian pyramid was used. Finally, the quality of the obtained results was assessed. The details of algorithms are given and the results are presented and discussed. It is shown that the application of data fusion rules for magnetic multisensor inspection systems can result in the growth of reliability of proper identification and classification of defects in steel elements depending on the utilized configuration of the sensor network.

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A Permeability-Measuring Magnetic Flux Leakage Method for Inner Surface Crack in Thick-Walled Steel Pipe

Cited by 32 publications

References 22 publications

Pipe Cracks Detection Methods – A Review

Pipe Cracks Detection Methods – A Review

Numerical Model of Eddy Current Inspection with DC Magnetic Field Associated

Utilization of Multisensor Data Fusion for Magnetic Nondestructive Evaluation of Defects in Steel Elements under Various Operation Strategies

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