A Gamma-ray Computed Tomography Method for Fast Identification of Two-phase Flow Regime

Q. Wang, H. X. Wang

School of Electrical Engineering & Automation, Tianjin University, Tianjin, 300072, China Email: wangqitju@hotmail.com

ABSTRACT

The flow regimes are important parameters to describe two-phase flow, and measurement of two- phase flow parameters is becoming increasingly important in many industrial processes. Computerized tomography (CT) is applied to multi-phase flow measurement in recent years because of its characteristics of non-invasiveness and visibility. Image reconstruction of CT often involves repeatedly solving large-dimensional matrix equations, which are computationally expensive, especially for the case of on-line flow regimes identification. In this paper, minimum cross entropy reconstruction based on multi-resolution processing (MRMCE) is presented for fast image reconstruction. Both simulation and experiments were carried out, indicating that the proposed method can reduce the computational time and improve the quality of reconstructed image with suitable decomposition levels. Therefore, the MRMCE method is suitable for identification of on-line two-phase flow regime.

Keywords multiphase flow, computerized tomography (CT), cross-entropy method, multi-resolution