Neural Networks in Two-phase Flow

by Azizi, Sadra
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Azizi, Sadra Neural Networks in Two-phase Flow
Azizi, Sadra - Neural Networks in Two-phase Flow

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Description

Two-phase flows are commonly found in many industrial processes. Numerous theoretical and experimental studies have been carried out and reported in literature for modeling of two-phase flow. However, because of the inherent complexity of two-phase flow, it is still a challenge to make accurate predictions for the different parameters of two-phase flow such as flow pattern, in-situ phase fraction, pressure drop and heat transfer coefficient. Artificial neural network (ANN) technique has been proposed as a powerful and computational tool for modeling and solving complex problems that cannot be described with simple mathematical models. This book consists of three chapters. The first chapter presents a review of gas-liquid and liquid-liquid two-phase flows in horizontal, vertical and inclined pipes. In the second chapter, an overview about the most commonly used network architectures in the field of two-phase flow is provided. Finally, in the third chapter, some examples of artificial neural network applications in the field of two-phase flow are presented.

Contributors

Author:
Azizi, Sadra

Further information

Biography Artist:
Sadra Azizi received his undergraduate degree and his master's degree in chemical engineering from Yasouj University, Iran. His research interests include multiphase flow and modeling using neural network.
Language:
English
Number of Pages:
236
Media Type:
Softcover
Publisher:
LAP Lambert Academic Publishing

Master Data

Product Type:
Paperback book
Release date:
January 25, 2017
Package Dimensions:
0.22 x 0.15 x 0.014 m; 0.399 kg
GTIN:
09783330032156
DUIN:
12R8FHOS61K
$73.99
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