Measurement and evaluation of two-phase flow parameters

Abstract

The authors' use of fuzzy theory for identification of two-phase flow patterns and flow imaging based on signals from traditional transducers of flow measurement is briefly summarized. The application of the fuzzy identification theory makes it possible to describe the real flow patterns of two-phase flow more accurately and objectively. The flow pattern judgment is based on an original signal (pressure drop or local conductivity) which is only related with the conditions of fluids in the pipe, and the traditional single-phase transducers are used. This method can thus be used to identify flow patterns, in real-time measurement. Experimental results of online measurement of various distributions of two phases were obtained. Three cases of the real distribution, which correspond to the flow pattern of stratified flow, bubble flow, and slug flow, are shown. The experimental results show that the flow pattern image on a CRT agrees fairly well with the picture obtained using a high-speed camera.<>