Study of Defects in the Petrochemical Storage Tank Floor using the Magnetic Flux Leakage (MFL) Technique

Durai, Mathivanan; Lin, Ziqi; Lan, John Chi-Wei; Chang, Ho; Peng, Chi-Chuan

doi:10.1007/s11668-022-01373-1

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…This method involves a magnetizing material that is used to magnetize the pipes, from where the magnetic flux leakage from the defect region is sensed by a sensor. The magnetization can be achieved in three different ways, namely, by excitation coil, a permanent magnet, and the composite magnetic flux method [17][18][19]. The flux leakage is detected with the help of Hall, coil, and magnetoresistance (MR) sensors, respectively [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

et al. 2022

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Pipelines are typically used to transport oil, natural gas, water, etc. It is one of the most effective methods for transferring fluids over long distances. However, long-term usage of these pipes without maintenance results in the formation of residues, which will pave the way for pipeline accidents and soil contamination. To ensure the safety and protection of resources, these sustainable pipelines need to be inspected to avoid losses. This work aims to investigate various internal defect leaks in the non-uniform thickness of sustainable water pipes that are joined with a pipe expander. The magnetic flux leakage technique was implemented to evaluate these defects by means of a flexible GMR sensor array. An inspection robot containing two units was fabricated with the aid of 3D printing. The power unit provides the necessary thrust to actuate the entire robot whereas the sensing unit is responsible for analyzing the leaks. The robot’s movement is predicted by the MPU6050 and ultrasonic distance sensors that are plotted as motion plots. The sensing unit consists of permanent magnets and a giant magnetoresistance (GMR) array to interrogate the flux leakage in the defect region. The flux leakage from the defects was stored with the help of an Arduino microcontroller, which controls the overall process. In addition, the spring suspension is provided to regulate the motion of the robot. The flux leakage from the defect region was plotted as waveform graphs. Thus, the results are effectively presented and compared. The calculated signal-to-noise ratio (SNR) of the magnetic flux leakages (MFLs) for 4.5 mm-thick pipe defects was 12 to 20.8 dB, and for 6.52 mm-thick pipe defects, it was 9.5 to 19 dB. In sum, the MFL technique provides a reliable method for the sustainable development of water supply to wide areas.

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Section: Introductionmentioning

confidence: 99%

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

et al. 2022

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“…Magnetic flux leakage (MFL) testing technology [1][2][3][4][5] is widely used for defect detection in ferromagnetic material special equipment, i.e., the high-temperature boiler and high-pressure pipeline. The usual defect detecting method is focused on the signal's amplitude of spatial magnetic field intensity [6,7].…”

Section: Introductionmentioning

confidence: 99%

Phase-Extraction-Based MFL Testing for Subsurface Defect in Ferromagnetic Steel Plate

Liu

Shen

2022

Sensors

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Magnetic flux leakage (MFL) based on phase extraction for detecting the subsurface defects in ferromagnetic steel plate was investigated. The relationship between electromagnetic field phase and the subsurface defect was analyzed. Low-frequency alternating current (AC) excitation source and high-power magnetizer arrangement with Hall sensor were used to increase the skin depth of the MFL. Experiments results showed that 12 mm deep subsurface defect can be detected by using the phase extraction means, which is about two times higher than that by using the amplitude method.

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Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors

Wang,

Zhao,

Chen

et al. 2024

Journal of Materials Research and Technology

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Study of Defects in the Petrochemical Storage Tank Floor using the Magnetic Flux Leakage (MFL) Technique

Cited by 7 publications

References 25 publications

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique

Phase-Extraction-Based MFL Testing for Subsurface Defect in Ferromagnetic Steel Plate

Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors

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