A Novel Magnetic Flux Leakage Testing Method Based on AC and DC Composite Magnetization

Wang, Rongbiao; Kang, Yihua; Tang, Jian; Feng, Bo; Deng, Yongle

doi:10.1007/s10921-020-00730-0

Cited by 13 publications

(3 citation statements)

References 30 publications

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“…The AC excitation was used to generate eddy currents that were perpendicular to the DC magnetic field to cover the blind zone of the DCMFL. R. Wang proposed to use two encircling coils to, respectively, generate DC and AC magnetizing fields [ 116 ], in which the DC field is used to set the working point by changing the permeability and the AC field is used to obtain the defect information. The results showed that this method can be used to increase the detectability of internal defects.…”

Section: Excitation and Sensing Techniques In Mfl Testingmentioning

confidence: 99%

A Review of Magnetic Flux Leakage Nondestructive Testing

Feng

et al. 2022

Materials

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Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method for the inspection of ferromagnetic materials. This review paper presents the basic principles of MFL testing and summarizes the recent advances in MFL. An analytical expression for the leakage magnetic field based on the 3D magnetic dipole model is provided. Based on the model, the effects of defect size, defect orientation, and liftoff distance have been analyzed. Other influencing factors, such as magnetization strength, testing speed, surface roughness, and stress, have also been introduced. As the most important steps of MFL, the excitation method (a permanent magnet, DC, AC, pulsed) and sensing methods (Hall element, GMR, TMR, etc.), have been introduced in detail. Finally, the algorithms for the quantification of defects and the applications of MFL have been introduced.

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Section: Excitation and Sensing Techniques In Mfl Testingmentioning

confidence: 99%

A Review of Magnetic Flux Leakage Nondestructive Testing

Feng

et al. 2022

Materials

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“…Jung et al [27] used the phased-array ultrasound method, which improved the accuracy of ship defect detection. Wang et al [28] proposed a leakage detection method based on AC-DC compound magnetization for pipe weld detection. Huang et al [29] used orthogonal axial electromagnetic eddy currents to suppress the effects of wall inhomogeneities effectively and to detect ship welds effectively.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of the Wall Climbing Robot for Magnetic Particle Detection of Ship Welds

Zhang,

Jiao

et al. 2024

JMSE

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At present, numerous wall-climbing robots have been developed, and applied in ship manufacturing for weld detection to ensure safe navigation. Limited by rigid mechanical structure and complex detection, mostly existing robots are hardly to complete weld detection by using fluorescent magnetic particles. Based on permanent magnet adsorption, a wheeled wall-climbing robot is developed to realize the stable adsorption and flexible movement on ship wall. A detection mechanism is designed using a series and parallel flexible adaptation structure to keep cross yokes and detection area close for effective detection. A unified mechanical model is established by analyzing the angle between robot attitude and gravity, to solve safe adsorption and flexible movement for different detection conditions. Integrated the multisensor information and collaboration between control component, an automatic detection control workflow conforms to the standard process is proposed. Experiments show that the robot can move on curvature wall flexibly and stably, complete the weld detection with the standard process, and clearly display the shape and depth of the small defects (groove depth ≥ 30 μm) in standard specimen.

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“…Another part uses saturated excitation, whose advantage is mainly the increased sensitivity of the detection. However, saturation excitation [18] leads to a weakening of the detection of stress defects. However, the existing ACMFL detection uses a high frequency, where the secondary magnetic field directly affects the primary field.…”

Section: Introductionmentioning

confidence: 99%

A stress defect state measurement method based on low-frequency ACMFL excitation and Hall sensor array collection

Zhang

Jian

et al. 2023

Meas. Sci. Technol.

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The safety testing of ferromagnetic materials, which are the main materials for various machines and equipment, is particularly important. Stress concentration zone (stress defects) cause stress corrosion of ferromagnetic materials, and it also has the possible to cause direct damage to ferromagnetic materials. Estimation of stress sources state using electromagnetic nondestructive measurement method s is a critical and difficult problem. In this paper, a visual and intelligent identification method of stress defects in ferromagnetic materials by low frequency AC magnetic flux leakage (ACMFL) technique is proposed. A new three-point compression experiment was designed in this paper. Time-difference vision is established to analyze the ACMFL signal caused by stress defects. A visual transformed convolutional neural network (vt-CNN) deep learning algorithm has been proposed to identify grayscale patterns pre-processed by the time-difference vision. The results show that the method proposed in this paper elucidates the relationship between the time-difference vision of a stress defect and the stress source state of the mechanical stress. Our proposed method allows to analyze the pressure indenter size of the pressure source of stress defects.

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A Novel Magnetic Flux Leakage Testing Method Based on AC and DC Composite Magnetization

Cited by 13 publications

References 30 publications

A Review of Magnetic Flux Leakage Nondestructive Testing

A Review of Magnetic Flux Leakage Nondestructive Testing

Design and Optimization of the Wall Climbing Robot for Magnetic Particle Detection of Ship Welds

A stress defect state measurement method based on low-frequency ACMFL excitation and Hall sensor array collection

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