Prediction of flow regime using ANN for air-water flow through small diameter tubes in horizontal plane
by Nirjhar Bar; Manindra Nath Biswas; Sudip Kumar Das
International Journal of Convergence Computing (IJCONVC), Vol. 2, No. 2, 2016

Abstract: Artificial neural network (ANN) modelling for the classifications of flow regimes in air-water flow through 1 mm to 5 mm tubes is presented. Two hundred eighteen data points based on the experimental investigation in 3 and 4 mm tubes and 2,114 data points from various experimental results collected from the literature for air-water two-phase flow through tubes having small diameter have been used. Five different artificial neural network training algorithms have been used to predict the flow regime. The ANN model based on radial basis function gives slightly better predictability over the other networks.

Online publication date: Wed, 01-Feb-2017

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