Volume fraction measurement and flow regime recognition in dynamic gas–liquid two phase flow using gamma ray radiation technique


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Gas–liquid two phase f low is probably the most important form of multiphase f lows and is found widely in industrial applications, particularly in the oil and petrochemical industry. In this study, in the first instance a gas–liquid two phase f low test loop with both vertical and horizontal test tube was designed and constructed. Different volume fractions and f low regimes were generated using this test loop. The measuring system consists of a 137Cs single energy source which emits photons with 662 keV energy and two 1-inch NaI (Tl) scintillation detectors for recording the scattered and transmitted counts. The registered counts in the scattering detector were applied to the Multi-Layer Perceptron neural network as inputs. The output of the network was gas volume fraction which was predicted with the Mean Relative Error percentage of less than 0.9660%. Finally, the predicted volume fraction via neural network and the total count in transmission detector were chosen as inputs for another neural network with f low regime type as output. The f low regimes were identified with mean relative error percentage of less than 7.5%.

作者简介

A. Fatehi Peikani

Shahid Beheshti University, Department of Radiation Application, Tehran Province

Email: hosseinroshani@yahoo.com
伊朗伊斯兰共和国, Tehran, Daneshjou, Boulevard, 1983969411

G. Roshani

Electrical Engineering Department

编辑信件的主要联系方式.
Email: hosseinroshani@yahoo.com
伊朗伊斯兰共和国, Kermanshah, Imam Khomeyni Highway, 6376667178

S. Feghhi

Shahid Beheshti University, Department of Radiation Application, Tehran Province

Email: hosseinroshani@yahoo.com
伊朗伊斯兰共和国, Tehran, Daneshjou, Boulevard, 1983969411

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