Quantitative Evaluation of Corrosion in a Thin Small-Bore Piping System Using Bobbin-Type Magnetic Camera

Le, Minhhuy; Vu, Hoanghai; Kim, Jungmin; Angani, C. S.; Lee, Jinyi

doi:10.1007/s10921-013-0204-x

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…An induced current in the circumferential direction of the control rod appears due to the first magnetic field from the coil, and is perturbed by the defect. The intensity of the induced current penetrates the control rod according to the skin effect, with a skin depth calculated by Equation (1) [9][10]. The skin effect limits the penetration depth of the induced current, thus the EHaS probe is sensitive to surface defects.…”

Section: Principlementioning

confidence: 99%

“…Recently, magnetic sensors have been used for directly sensing the magnetic field due to the presence of defects. Numerous Hall sensor and Giant magnetoresistance (GMR) sensor elements are arrayed in the circumferential direction of the probes for inspection of defects at the inner or outer surface of tubes [7][8][9][10][11]. The developed system has efficient inspection capabilities and enables quantitative evaluation of defects.…”

Section: Introductionmentioning

confidence: 99%

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Electromagnetic Testing of Rod Cluster Control Assemblies in Pressured-Water Reactor Power Plants

Sim

Lee

2019

Applied Sciences

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This paper presents an electromagnetic testing system for rod cluster control assemblies used in pressurized-water reactors. The system uses several encircling-type magnetic cameras equivalent to a number of the control rods; each sensor probe composes of an encircling Hall sensor array (EHaS) and a bobbin coil. The EHaS has 16 Hall sensor elements that measure the electromagnetic field distribution in the radial direction of the control rod induced by the bobbin coil for defects. Experiments are performed on artificial defects on the cladding tube of real control rods to simulate short-circumferential grooves (SCGs), sliding wears (SWs), and circumferential cracks (CCs). The system can inspect the artificial SCGs, SWs, and CCs with depths up to 20%, 30%, and 40% of the cladding tube thickness (0.47 mm), respectively. Furthermore, the shape and depth of the defects could be estimated. The standard deviations of depth estimation are 18%, 5.8%, and 6.0% for CCs, SCGs, and SWs. The SCGs and SWs have a small and similar estimation error, but the CCs have the highest error of estimation, and have a small width of 0.2 mm.

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Section: Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electromagnetic Testing of Rod Cluster Control Assemblies in Pressured-Water Reactor Power Plants

Sim

Lee

2019

Applied Sciences

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“…As one of the three major components of Magnetic flux leakage, an above ground marking system can be used to locate and assess the integrity of long distance pipelines. When a Magnetic flux leakage detector is moving in the pipeline, it detects the cracks and records the mileage value [ 75 , 76 , 77 , 78 ]. The odometer value is particularly important, because it records the location of defects and provides reference data for future pipeline excavations.…”

Section: Measurement and Processingmentioning

confidence: 99%

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Shi

Zhang

et al. 2015

Sensors

289

125

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Magnetic flux leakage (MFL) detection is one of the most popular methods of pipeline inspection. It is a nondestructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage field of defects on both the internal and external surfaces of pipelines. This paper introduces the main principles, measurement and processing of MFL data. As the key point of a quantitative analysis of MFL detection, the identification of the leakage magnetic signal is also discussed. In addition, the advantages and disadvantages of different identification methods are analyzed. Then the paper briefly introduces the expert systems used. At the end of this paper, future developments in pipeline MFL detection are predicted.

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“…Lee et al developed bobbin-type magnetic cameras to quickly access the large number of HX tubes [2][3][4][5][6][7][8]. In order for magnetic camera technology to be effectively applied to industrial field, an algorithm should be provided to make it easier for inspectors to identify and evaluate flaws.…”

Section: Introductionmentioning

confidence: 99%

Flaw Classification Algorithm for Heat Exchanger Tubes Using a Bobbin-Type Magnetic Camera

Sim

Lee

et al. 2019

Applied Sciences

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This paper presents an algorithm that estimates the presence, location, shape, and depth of flaws using a bobbin-type magnetic camera consisting of bobbin probes and a bobbin-type integrated giant magnetoresistance (GMR) sensor array (BIGiS). The presence of the flaws is determined by the lobe path of the Lissajous curves obtained from bobbin coil with respect to the applied frequency. The location of the flaw, i.e., whether it is an inner diameter (ID) or outer diameter (OD) flaw, can be determined from the rotational direction of the lobe with respect to the frequency change. The shape of the flaw is then determined from the area of the lobe and the BIGiS image. At this stage, multi-site damage can be determined from the BIGiS image. The effectiveness of the flaw classification algorithm was evaluated using various types of artificial flaws introduced into small-bore tube test specimens made of austenitic stainless steel.

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Quantitative Evaluation of Corrosion in a Thin Small-Bore Piping System Using Bobbin-Type Magnetic Camera

Cited by 9 publications

References 8 publications

Electromagnetic Testing of Rod Cluster Control Assemblies in Pressured-Water Reactor Power Plants

Electromagnetic Testing of Rod Cluster Control Assemblies in Pressured-Water Reactor Power Plants

Theory and Application of Magnetic Flux Leakage Pipeline Detection

Flaw Classification Algorithm for Heat Exchanger Tubes Using a Bobbin-Type Magnetic Camera

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