Investigation of Remote Field Eddy Current Defect Detection for Pipeline Welds

Xie, Lian; Gao, Bin; Tian, Gui Yun; Xiao, Xiangheng; Shichun, Wu; Yin, Ying; Mao, Dan

doi:10.1109/fendt.2018.8681970

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…Some people have proposed remote on-site eddy current probes for on-the-job inspections of pipeline defects (Xu et al , 2019). RFECT has a significant penetration ability for rough welding areas on pipelines and has been used to detect deeper hidden cracks (Xie et al , 2018). Jayaraman et al (2021) rely on RFEC technology to develop three-dimensional (3D)numerical models for steam generator tubes.…”

Section: Introductionmentioning

confidence: 99%

Simulation and experimental study of remote field current testing for hidden defects of aluminum alloy plate with damping coating

Jiang¹,

Lu²,

Wang³

et al. 2022

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Purpose Detection of hidden defects of aluminum alloy plate with damping coating is a challenging problem. At present, only a few non-destructive testing methods exist to address this engineering problem. Without the restriction of skin effect, remote field eddy current (RFEC) overcomes the interference caused by the damping coating. The RFEC, which has potential advantages for detecting the hidden defects of aluminum plate with damping coating, can penetrate the metal plate to detect buried depth defects. This study aims to test how thick the RFEC sensor can penetrate the metal plate to detect the buried defects. Design/methodology/approach The magnetic field distribution characteristics are analyzed, the magnetic field intensity distribution is calculated, and the structure and parameters of the coil, magnetic circuit and shielding damping are determined through the two- and three-dimensional finite element simulation methods. Optimal excitation frequency is obtained, and the distance between the excitation coil and detection coil is determined by analyzing the relationship between excitation frequency and remote field points. Findings Simulation and experimental results verify the feasibility of applying the RFEC detection technology in detecting the hidden defects of aluminum alloy plate with damping coating. Originality/value In this paper, the RFEC testing model of hidden defects in aluminum plate sample with damping coating is established by using the finite element method.

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Section: Introductionmentioning

confidence: 99%

Simulation and experimental study of remote field current testing for hidden defects of aluminum alloy plate with damping coating

Jiang¹,

Lu²,

Wang³

et al. 2022

View full text Add to dashboard Cite

show abstract

“…It has a deeper penetration depth than radiographic inspection technology, but usually needs to apply coupling agent on the surface, and it is not suitable for the detection of rough surface. Eddy current inspection is based on electromagnetic induction, and uses the secondary eddy current generated by the pipe wall to detect pipeline defects and weld seams [17][18][19][20]. However, due to the skin effect of ferromagnetic materials, the penetration depth decreases with the increase of excitation coil frequency.…”

Section: Introductionmentioning

confidence: 99%

Crosspoint Localization of Spiral and Girth Welds of Spiral Steel Pipelines

Huang

et al. 2020

IEEE Access

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Crosspoint of spiral and girth welds of spiral steel pipelines transporting high-pressure oil and gas is easy to crack due to welding defects and corrosion, so routine excavation and careful inspection are required. In order to reduce the workload and cost of excavation, it is necessary to determine the crosspoint's angular position on the girth weld. This paper proposes a low-cost and high-efficiency method for locating the spiral-girth weld crosspoint based on the inner Spherical Detector (SD). Theoretical analysis and experiments demonstrate that the magnetometer with a smaller lift-off could detect more noticeable magnetic valley of the spiral welds at the pipe bottom, so a smaller SD should be used; the spiral direction can be determined by the phase difference of the dual-channel magnetic signals, when dual magnetometers are symmetrically fixed about the median vertical plane on the rotation axis of the SD. When the girth weld, at least one spiral weld and the spiral direction are detected and determined, the crosspoint's angular position can be calculated. The maximum localization error of the crosspoint is less than 30° and the average error is less than 20°, that is, no more than one hour's angle, whose accuracy is sufficient for excavation and maintenance in the field, because it will reduce the amount of excavation by nearly half.

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Model Construction for Far Field Eddy Current Examination Simulation on Ferromagnetic Tubes

Zhou

Cui

et al. 2021

J. Phys.: Conf. Ser.

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Ferromagnetic tubes are widely applied in fossil power plants such as waterfall tubes, overheat tubes or reheating tubes. Outer surface corrosion, wearing, depth reduction, cracks are common defects during manufacturing and long term operation. Eddy current detection is a traditional method for the examination of surface and near surface defects. However the efficiency is restricted by lift-off effect and skim effect. Far field eddy current overcomes the above disadvantages with high efficiency and fast examination speed and high sensitivity. In this paper, numerical simulation has been carried out to study the far field eddy current Detection for defects in small diameter ferromagnetic tubes in fossil power plants.

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Investigation of Remote Field Eddy Current Defect Detection for Pipeline Welds

Cited by 5 publications

References 1 publication

Simulation and experimental study of remote field current testing for hidden defects of aluminum alloy plate with damping coating

Simulation and experimental study of remote field current testing for hidden defects of aluminum alloy plate with damping coating

Crosspoint Localization of Spiral and Girth Welds of Spiral Steel Pipelines

Model Construction for Far Field Eddy Current Examination Simulation on Ferromagnetic Tubes

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