Energies · 2022 · 18 citations · 18 references
EngineeringElectrical EngineeringPetroleum EngineeringElectromagneticsElectromagnetismSensorsElectrical MeasurementElectrical SensorsElectromagnetic CompatibilityElectromagnetic MethodsMagnetic SensorsMechanical SensorsCrack DepthCrack DetectionFinite Element SimulationIn-line InspectionLift-off HeightMagnetic Field SensorsPipeline Condition MonitoringSensor Sensitivity
Due to the extremely small size and arbitrary orientation of the cracks, a highly sensitive sensor based on the balanced-field electromagnetic technique was designed for in-line inspection of oil and gas pipeline cracks. A balanced-field electromagnetic technique sensor mutual inductance model was established and used to theoretically analyze the parameters affecting sensitivity. Finite element simulation was used to analyze the specific effects of the magnetically conductive medium, the number of coil turns, and the sensor lift-off height on the sensor output, respectively, and the sensor parameters of high sensitivity were determined. The detection effect of the sensor on the pipeline crack was tested by the single-sensor experiment and the pulling test. The results show that the designed balanced-field electromagnetic technique sensor is effective in detecting both circumferential and axial cracks of 0.5 to 6 mm in depth. As the crack depth increases, the sensitivity decreases and the detection voltage amplitude increases linearly. The sensitivity of the sensor is highest when detecting circumferential and axial cracks of 1 mm in depth at 1.76 and 0.87 mV/mm, respectively. In addition, the amplitude of the circumferential crack signal at the same depth is approximately twice that of the axial crack signal.
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Mohamed El Amine Ben Seghier, Daniel Höche, Mikhail L. Zheludkevich · Journal of Natural Gas Science and Engineering · 2022 · 152 citations · Full text
Optimal design of remote field eddy current testing probe for ferromagnetic pipeline inspection
Saibo She, Yifang Chen, Yunze He et al. · Measurement · 2020 · 83 citations
Nobutomo Nakamura, Kazuhiro Ashida, Takashi Takishita et al. · NDT & E International · 2016 · 57 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +16