Electrical Resistance Tomography: Mesh Grouping and Boundary Estimation Algorithms

  • Kim Sin (Department of Nuclear & Energy Engineering Cheju National University) ;
  • Cho Hyo-Sung (Department of Radiological Science and Basic Atomic Energy Research Institute, Yonsei University) ;
  • Lee Bong-Soo (School of Biomedical Engineering Konkuk University)
  • Published : 2005.04.01

Abstract

This paper presents the development and application of electrical resistance imaging techniques for the visualization of two-phase flow fields. Two algorithms, the so-called the mesh grouping and the boundary estimation, are described for potential applications of electrical resistance tomography (ERT) and results from extensive numerical simulations are also presented. In the electrical resistance imaging for two-phase flows, numerical meshes fairly belonging to each phase can be grouped to improve the reconstruction performance. In many cases, the detection of phase boundary is a key subject and a mathematical model to estimate phase boundary can be formulated in a different manner. Our results indicated that the mesh grouping algorithm is effective to enhance computational performance and image quality, and boundary estimation algorithm to determine the phase boundary directly.

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