Tomographic imaging of two-component flow using capacitance sensors

Huang, Sunxiang; Plaskowski, A.; Xie, Chenggang; Beck, M.S.

doi:10.1088/0022-3735/22/3/009

Cited by 231 publications

(100 citation statements)

References 5 publications

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“…EIT can acquire information much more quickly than GDT, but several issues with EIT have yet to be resolved, including its usefulness for multiphase flows, its spatial resolution, and its ability to make accurate quantitative measurements (Webster, 1990;Jones et al, 1993;Plaskowski et al, 1995;Ceccio and George, 1996). While capacitance sensors have been used to visualize gas-liquid slug flow (Huang et al, 1989) and flows in trickle-bed reactors (Reinecke and Mewes, 1997), the EIT technique must still be validated for quantitative phase volume fraction measurements.…”

Section: Introductionmentioning

confidence: 99%

Validation of electrical-impedance tomography for measurements of material distribution in two-phase flows

George

Torczynski

Shollenberger

et al. 2000

International Journal of Multiphase Flow

104

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Section: Introductionmentioning

confidence: 99%

Validation of electrical-impedance tomography for measurements of material distribution in two-phase flows

George

Torczynski

Shollenberger

et al. 2000

International Journal of Multiphase Flow

104

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“…Since there is no analytical method for the non-linear inverse problem, linearization using the so-called sensitivity model, Equation (3) is commonly applied (Huang et al, 1989;). …”

Section: Methodsmentioning

confidence: 99%

Comparisons of Sensor Position for Electrical Capacitance Volume Tomography (Ecvt)

Ahmad¹,

Mukhlisin²,

Basri³

2016

MAS

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Tomography is a technique used to produce true reconstructed images from signal data. This data projection is measured capacitance by numerous sensors located on the surface of the object at different position. Sensitivity matrix with three-dimensional variation, especially in axial (z-axiz) direction are required for imaging a three-dimensional object to differentiate the depth along the sensor length so that the electrical field intensity can be distributed equally all over the three dimension space. In ECVT, when a dielectric material is introduced into the vessel, the variation in the electrical capacitance between all possible combinations of electrodes are measured. These changes are caused by diference in the permittivity of that material. From these capacitance measurements, an image based on the variation of the permittivity of the cross section contents can be obtained. In this study a numerical model using combine COMSOL MULTIPHYSICS v3.5 and MATLAB 2008a for imaging of an object was developed. Three different position of rectangular sensor: 1-sided sensor, 3-sided and U-shape sensor was designed and analyzed. 1-sided sensor displayed comparatively more uniform in both radial and axial direction in the comparisons of sensitivity distribution.

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“…The capacitance difference between C' (0) and C' (1) , ∆C' (1) , and the approximate value of the permittivity difference are…”

Section: Iterative Solution By Gvspm Methodsmentioning

confidence: 99%

“…In solid-air two-phase flow, capacitance CT using real-time visualization has been investigated as a technique to visualize solid behavior (1) - (3) . In capacitance CT, a sensor consisting of several electrodes is placed around the circumference of a pipeline in order to measure the capacitances between the electrodes.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Free Fall Particle CT Images Using the Generalized Vector Sampled Pattern Matching Method

Takei

Ochi

Saito

et al. 2004

JSME international journal. Ser. B, Fluids and thermal engineer

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A new reconstruction method, which is called Generalized Vector Sampled Pattern Matching (GVSPM) method, has been applied to an ill-posed inverse problem of a capacitance-computed tomography for solid air two-phase flow. In pseudo two-phase flow images, the correlation of the reconstructed images by GVSPM is higher than those by a conventional Newton Raphson (NR) iterative method by 32.5%. Moreover, in solid air two-phase flow images, the deviation between the particles volume fraction by experimental capacitance and that by the reconstruction methods is calculated. As a result, the volume fraction deviation of GVSPM reconstructed image is lower than that of NR by 56.7%. Also, the time-mean correlation between the experimental capacitance and the capacitances from the reconstruction method is calculated. As a result, GVSPM method improves the correlation by 23.6% as compared with NR method. The accurate reconstruction of GVSPM results from an inner product calculation between the experimental capacitance and the capacitance from the reconstructed images as an objective function.

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Tomographic imaging of two-component flow using capacitance sensors

Cited by 231 publications

References 5 publications

Validation of electrical-impedance tomography for measurements of material distribution in two-phase flows

Validation of electrical-impedance tomography for measurements of material distribution in two-phase flows

Comparisons of Sensor Position for Electrical Capacitance Volume Tomography (Ecvt)

Reconstruction of Free Fall Particle CT Images Using the Generalized Vector Sampled Pattern Matching Method

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