Three-Dimensional Axial Dispersion of Gas-Solid Fluidized Beds Using 8-Plane Electrical Capacitance Volume Tomography

2021 ◽  
pp. 131422
Author(s):  
Daoye Yang ◽  
Zhangyou Wu ◽  
Guihuan Yao ◽  
Chenxiao Zhang ◽  
Qitao Bian
2015 ◽  
Vol 11 (1) ◽  
pp. 2897-2908
Author(s):  
Mohammed S.Aljohani

Tomography is a non-invasive, non-intrusive imaging technique allowing the visualization of phase dynamics in industrial and biological processes. This article reviews progress in Electrical Capacitance Volume Tomography (ECVT). ECVT is a direct 3D visualizing technique, unlike three-dimensional imaging, which is based on stacking 2D images to obtain an interpolated 3D image. ECVT has recently matured for real time, non-invasive 3-D monitoring of processes involving materials with strong contrast in dielectric permittivity. In this article, ECVT sensor design, optimization and performance of various sensors seen in literature are summarized. Qualitative Analysis of ECVT image reconstruction techniques has also been presented.


2016 ◽  
Vol 10 (4) ◽  
pp. 150
Author(s):  
Irfana Kabir Ahmad ◽  
Muhammad Mukhlisin ◽  
Hassan Basri

<strong><strong></strong></strong><p>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.</p>


2017 ◽  
Author(s):  
Didied Haryono ◽  
Sri Harjanto ◽  
Harisma Nugraha ◽  
Mahfudz Al Huda ◽  
Warsito Purwo Taruno

2008 ◽  
Vol 105 (6) ◽  
pp. 1733-1740 ◽  
Author(s):  
Santhosh T. Jayaraju ◽  
Manuel Paiva ◽  
Mark Brouns ◽  
Chris Lacor ◽  
Sylvia Verbanck

We investigated the axial dispersive effect of the upper airway structure (comprising mouth cavity, oropharynx, and trachea) on a traversing aerosol bolus. This was done by means of aerosol bolus experiments on a hollow cast of a realistic upper airway model (UAM) and three-dimensional computational fluid dynamics (CFD) simulations in the same UAM geometry. The experiments showed that 50-ml boluses injected into the UAM dispersed to boluses with a half-width ranging from 80 to 90 ml at the UAM exit, across both flow rates (250, 500 ml/s) and both flow directions (inspiration, expiration). These experimental results imply that the net half-width induced by the UAM typically was 69 ml. Comparison of experimental bolus traces with a one-dimensional Gaussian-derived analytical solution resulted in an axial dispersion coefficient of 200–250 cm2/s, depending on whether the bolus peak and its half-width or the bolus tail needed to be fully accounted for. CFD simulations agreed well with experimental results for inspiratory boluses and were compatible with an axial dispersion of 200 cm2/s. However, for expiratory boluses the CFD simulations showed a very tight bolus peak followed by an elongated tail, in sharp contrast to the expiratory bolus experiments. This indicates that CFD methods that are widely used to predict the fate of aerosols in the human upper airway, where flow is transitional, need to be critically assessed, possibly via aerosol bolus simulations. We conclude that, with all its geometric complexity, the upper airway introduces a relatively mild dispersion on a traversing aerosol bolus for normal breathing flow rates in inspiratory and expiratory flow directions.


Sensors ◽  
2010 ◽  
Vol 10 (3) ◽  
pp. 1890-1917 ◽  
Author(s):  
Fei Wang ◽  
Qussai Marashdeh ◽  
Liang-Shih Fan ◽  
Warsito Warsito

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