Impedance imaging of two-phase flow field with mesh grouping method Original Research Article

There have been many attempts to measure the bubble distribution in two-phase flow fields and various techniques have been devised. However, the existing techniques require much improvement for imaging two-phase flow fields. In this study, the EIT (Electrical Impedance Tomography) technique is introduced for two-phase flow visualization. In the EIT, a static image reconstruction algorithm providing a higher spatial resolution is required. Using the conventional iterative static image reconstruction algorithms, however, the processing time increases rapidly with poor convergence characteristics as we try to obtain a higher spatial resolution. In order to overcome this problem, we propose an adaptive mesh grouping method utilizing the genetic algorithm and the fuzzy set theory. Computer simulations using the improved Newton–Raphson method with the proposed method show promising results indicating that we can significantly reduce the image reconstruction time without sacrificing spatial resolution.