Studies of the factors influencing the imaging performance of the capacitive imaging technique

Yin, Xiaokang; Hutchins, David A.; Chen, Guoming; Xu, Zhiwei

doi:10.1016/j.ndteint.2013.07.001

Cited by 19 publications

(19 citation statements)

References 17 publications

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“…The analysis of the multi-electrode sensor can be considered as electrostatic analyses with the simplified Equations (1)-(4) and the electric fields can be simplified to be produced by various charge distributions from the multi-electrode sensor. According to Equations (5) and (6), the potential distribution ϕ can be obtained by using FEM models [11,12].…”

Section: Fem Models and The Electric Potential Linesmentioning

confidence: 99%

“…Discriminating the defects in the insulator layer and metal surface is thus beneficial to take appropriate remedial measures to reduce maintenance cost and improve production efficiency [9]. It is a challenging work for conventional NDE technique and capacitive imaging (CI) technique has been proven to be a feasible technique in previous work [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…As a novel non-destructive testing (NDT) technique, CI has been used for oil pipelines, storage tanks, nuclear power stations and new armor in recent years [14][15][16][17][18]. It has many advantages, such as easy to implement, cost effective, environment friendly and non-contact [10,12]. The CI can not only detect surface defects in a conductor but also detect internal defects in a non-conductor [11].…”

Section: Introductionmentioning

confidence: 99%

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Further Investigations into the Capacitive Imaging Technique Using a Multi-Electrode Sensor

Chen

et al. 2018

Applied Sciences

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As a novel non-destructive testing technique, capacitive imaging (CI) has been used to detect defects within the insulation layer and metal surface of an insulated metallic structure, that is, pipe or vessel. Due to the non-linearity of the probing field, the defects at different depths in the insulation layer are difficult to compare accurately using the conventional CI sensor with a single pair of electrodes. In addition, the conventional CI sensor cannot provide adequate information to discriminate the defects in the insulation layer and metal surface. In order to solve the above-mentioned problems, the multi-electrode sensor is introduced. The multi-electrode sensor uses multiple quasi-static fringing electric fields generated by an array of coplanar electrodes to obtain extra information about the defects in the specimen. In this work, the feasibility of multiple quasi-static electric fields detecting the defects was demonstrated and the Measurement Sensitivity Distributions (MSDs) of the multi-electrode sensor detecting the defects were acquired using the FEM models. The simulation and experimental results show that the Dynamic Change Rates (DCRs) of the measured values obtained at the center of the defects in the insulator layer and metal surface present different variation patterns, which can be used to discriminate these two different kinds of defects. The reasons for the different variation patterns of DCRs were explained by the changing trends of MSDs with increased electrode separation. In addition, it was demonstrated that the different depths of the defects in the insulator layer can be compared accurately by comprehensive analysis of the detection results from all the electrode pairs.

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Section: Fem Models and The Electric Potential Linesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Further Investigations into the Capacitive Imaging Technique Using a Multi-Electrode Sensor

Chen

et al. 2018

Applied Sciences

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“…The principle of the CI technique is based on the fringing effect of electric field. Compared to some of the traditional NDE techniques, the CI technique has some unique features, such as it is a non-contact technique, it only requires single side access to the specimen, and can work on a wide range of material types [21][22][23][24]. Therefore, the CI technique is widely used in the non-destructive testing field, such as humidity monitoring, ageing degree testing and compact damaging detection [25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Capacitive Imaging Technique for the Inspection of Composite Sucker Rod

Wang

Yin

et al. 2019

Chin. J. Mech. Eng.

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Composite sucker rod has been extensively used due to its high strength, light weight and corrosion resistive nature. However, such composite sucker rod is difficult for conventional non-destructive evaluation (NDE) techniques to inspect because of its complex material and/or structure. It is thus useful to embark research on developing novel NDE technique to comply the inspection requirement. This work demonstrates the feasibility of using the capacitive imaging (CI) technique for the inspection of composite sucker rod. Finite element (FE) models were constructed in COMSOL to simulate the detection of defects in the glass-fiber layer and on the carbon core surface. An FE Model based inversion method is proposed to obtain the profile of the carbon core. Preliminary CI experimental results are then presented, including the detection of surface wearing defect in the glass-fiber layer, and obtaining the profile of the carbon core. A set of accelerated aging experiments were also carried out and the results indicate that the CI technique is potentially useful in evaluating the ageing status of such composite sucker rod. The CI technique described in this work shows great potential to target some challenging tasks faced in the non-destructive evaluation of composite sucker rod, including quality control, defect detection and ageing assessment.

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“…One of the examples of the capacitive sensors used in the NDE field is the capacitive imaging technique, which has been successfully used on a various types of materials, including concrete [5], glass/carbon fibre composite [6], steel [7], etc. In previous work, the CI probes are with metal electrodes etched onto Printed Circuit Board (PCB), and the design principle [8,9], influencing factors for imaging performance [10] and measurement sensitivity distribution determined primarily by the electrode geometry [11] were studied. In addition to these conventional coplanar PCB probes, modified geometries can be made and they can lead to different applications.…”

Section: Introductionmentioning

confidence: 99%