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In relation to this article, we declare that there is no conflict of interest.
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Received December 10, 2001
Accepted February 6, 2003
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Two Phase Visualization by Electrical Impedance Tomography with Prior Information

Department of Chemical Engineering, Cheju National University, Cheju 690-756, Korea 1Department of Electrical and Electronic Engineering, Cheju National University, Cheju 690-756, Korea 2Department of Nuclear and Energy Engineering, Cheju National University, Cheju 690-756, Korea
mckim@cheju.ac.kr
Korean Journal of Chemical Engineering, July 2003, 20(4), 601-608(8), 10.1007/BF02706895
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Abstract

Numerical and experimental work was conducted to develop a visualization technique for the phase distribution in a two-phase flow field with known internal structures by electrical impedance tomography technique, which reconstructs the resistivity distribution with the electrical responses that are determined by corresponding excitations. The finite element method is employed to solve the electrical field induced by the currents through electrodes placed along the boundary and a modified Newton-Raphson iterative method is used to determine the search step minimizing the error between the calculated and the measured voltages at the electrodes. The locations and resisitivities of the known structures are considered as prior information. To mitigate the ill-posedness of inverse problem and to incorporate prior information, the modified Tikhonov regularization technique is employed. Also, with an apparatus developed for impedance imaging this study attempts to reconstruct the images of the simulated bubble distributions and the reconstructed images imply the potential possibility of the electrical impedance tomography for_x000D_ the two-phase flow visualization.

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