Mobile Electrical Capacitance Tomography (ECT) Development for Liquid-Gas Flow Measurement

2015 ◽  
Vol 73 (3) ◽  
Author(s):  
Chan Kok Seong ◽  
Jaysuman Pusppanathan ◽  
Ruzairi Abdul Rahim ◽  
Yvette Shaan-Li Susiapan ◽  
Fatin Aliah Phang ◽  
...  

Electrical capacitance tomography (ECT) system is useful to obtain information on spatial distribution of dielectric material mixture inside a vessel. This paper discusses a sixteen-electrode mobile ECT sensing system which is developed non-invasively and non-intrusively.  Emphases on the software development aspects are presented in several sections; initialization part, normalization part, calibration part, hardware communication part and the image reconstruction part. Thus, the liquid-gas concentration profile of the ECT system is successfully acquired using the software developed.

2015 ◽  
Vol 74 (1) ◽  
Author(s):  
Elmy Johana Mohamad ◽  
Hanis Liyana Mohmad Ameran ◽  
Ruzairi Abdul Rahim ◽  
Omar Md. Faizan Marwah

In this study, we propose the use of the two-differential potential excitation technique in an Electrical Capacitance Tomography (ECT) system to improve: (1) the non-uniform sensitivity distribution caused by the non-uniform potential distribution in the central area; and (2) the nonlinear relation between capacitance and material permittivity. A simulation of a 16-segmented ECT system is developed using COMSOL Multiphysics to observe the changes of the inter-electrodes capacitances and the permittivity of the dielectric material when two differential excitation potentials are injected. Generated phantoms and measured values are presented. An experiment using the real system is also carried out to verify the simulations results. By using this technique, it was shown that the relationship between the capacitances measured from inter-electrodes and the permittivity became more linear. In addition, potential distribution is increased in the central area indicating an increase in the sensitivity distribution in the central area. The use of this technique increases the level of detected signals and improves the SNR (signal-to-noise ratio) as compared to those achieved using standard single-voltage source methods.


Sensor Review ◽  
2016 ◽  
Vol 36 (4) ◽  
pp. 429-445 ◽  
Author(s):  
Ziqiang Cui ◽  
Qi Wang ◽  
Qian Xue ◽  
Wenru Fan ◽  
Lingling Zhang ◽  
...  

Purpose Electrical capacitance tomography (ECT) and electrical resistance tomography (ERT) are promising techniques for multiphase flow measurement due to their high speed, low cost, non-invasive and visualization features. There are two major difficulties in image reconstruction for ECT and ERT: the “soft-field”effect, and the ill-posedness of the inverse problem, which includes two problems: under-determined problem and the solution is not stable, i.e. is very sensitive to measurement errors and noise. This paper aims to summarize and evaluate various reconstruction algorithms which have been studied and developed in the word for many years and to provide reference for further research and application. Design/methodology/approach In the past 10 years, various image reconstruction algorithms have been developed to deal with these problems, including in the field of industrial multi-phase flow measurement and biological medical diagnosis. Findings This paper reviews existing image reconstruction algorithms and the new algorithms proposed by the authors for electrical capacitance tomography and electrical resistance tomography in multi-phase flow measurement and biological medical diagnosis. Originality/value The authors systematically summarize and evaluate various reconstruction algorithms which have been studied and developed in the word for many years and to provide valuable reference for practical applications.


Volume 3 ◽  
2004 ◽  
Author(s):  
Andrew Hunt ◽  
John Pendleton ◽  
Malcolm Byars

Electrical capacitance tomography (ECT) has been used for some years to measure the concentration distribution within multiphase flows and processes. ECT is a relatively low resolution measurement, but it has many advantages, including being non-intrusive and fast. Recent developments of twin-plane systems have enabled measurements to be made of velocity as well as concentration. We have developed techniques to establish from these measurements the volume, mass and velocity of flow structures in two-component flows, and in particular the mass and velocity of large individual particles and groups of particles in solids/gas flow systems. Results are presented in the paper for simple gravity-drop flows of partly-filled plastic spheres, plastic beads, and also for the conveying of granular material in a pilot plant. We show that resolution of mass to within a few grams is possible on objects of individual mass of between 2g and 35g. We also show measurements of flow structure volumes in vertical solids conveying pipes of approximately 50mm diameter. General comparisons are made with high-speed video photography of some of the flows, and the in the case of gravity-drop flows the accuracy of the mass measurement is established using weighing.


Volume 1 ◽  
2004 ◽  
Author(s):  
Carlos Gamio ◽  
Juan Castro ◽  
Fabian Garcia-Nocetti ◽  
Luis Aguilar ◽  
Leonardo Rivera ◽  
...  

Electrical capacitance tomography (ECT) was used to image various two-phase gas-oil flows in a 3-inch pressurized test loop. ECT is a novel non-invasive technique for imaging mixtures of electrically non-conducting substances. One of its most promising applications is the visualization of gas-oil flows. This work presents a series imaging experiments using a pressure-resistant ECT sensor. Varying the oil and gas flow rates, different flow regimes were established in the test loop. ECT images were obtained for each case and compared with (a) the flow observed through a transparent section in the loop and (b) the prediction of the Taitel-Duckler flow map. The results confirm the suitability of ECT for imaging gas-oil flows.


2013 ◽  
Vol 24 (7) ◽  
pp. 074001 ◽  
Author(s):  
Yi Li ◽  
Wuqiang Yang ◽  
Cheng-gang Xie ◽  
Songming Huang ◽  
Zhipeng Wu ◽  
...  

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