Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

The purpose of this study was to employ Artificial Neural Networks (ANNs) to develop data-
driven models that would enable the shrinking horizon nonlinear model predictive control of …

This work demonstrates the artificial neural network (ANN) ability for predicting slug liquid
holdup (H LS), using 2525 measured points from 20 experimental studies. Six variables …

We study two-phase liquid–liquid flow patterns in a 500 μm capillary microchannel for four
biphasic systems: ethyl acetate/water, 2-pentanol/water, methyl isobutyl ketone/water, and …

Two-phase flows are common in large-scale power systems and petroleum industry. During
upstream oil and gas productions, crude oil, gas and sand eroded from formation zones are …

In this work, the ability of artificial neural networks (ANNs) to predict void fraction of gas–
liquid two–phase flow in horizontal and inclined pipes was investigated. For this purpose, an …

In order to develop the flow regime identification map by objective method, air–water two-
phase upward and downward flow experiments were conducted in a tubular test section with …

An experimental investigation has been carried out for vertical counter-current two-phase
flow of air and water, and then an attempt has been made to identify and classify the …

The present study attempts to develop a flow pattern indicator for gas–liquid flow in
microchannel with the help of artificial neural network (ANN). Out of many neural networks …

In this work, local heat transfer coefficients (HTC) and different flow patterns of oil-water two-
phase flow in a horizontal and slightly upward inclined (+ 4° and+ 7°) pipe were …