A gamma-ray transmission technique is present to measure the void fraction and identify
the flow regime of a two-phase flow using two detectors which were optimized in terms of
detector orientation. Using Monte-Carlo simulation, experimental results were utilized for
training an artificial neural network. Radial Basis Function was used to classify flow regimes
(annular, stratified and bubbly) and predict the value of void fraction. All of the
training and testing data sets were determined correctly and the mean relative error percentage
of predicted void fraction was less than 1.5%. Although the method was applied to
a certain pipe size in a static flow configuration, it provides a framework for application to
other configurations.
کلید واژگان :
Two-phase flows Radial Basis Function Flow regime Gamma ray attenuation Gas fraction
