Image reconstruction of two-phase flow by dynamic electrical impedance methods

This study presents a visualization technique for the phase distribution in a two-phase flow field with an electrical impedance technique, which reconstructs the images from the resistivity distributions obtained by electrical responses. Special emphasis is placed on the development of the imaging technique for two-phase system that undergoes a rapid transient. The proposed algorithm treats the image reconstruction problem as a nonlinear state estimation problem and the unknown state is estimated with the aid of a Kalman filter in a minimum mean square error sense.