Application of an Artificial Neural Network Method for the Prediction of the Tube-Side Fouling Resistance in a Shell-And-Tube Heat Exchanger
Author:
Publisher
Computers, Materials and Continua (Tech Science Press)
Subject
General Materials Science
Link
https://www.techscience.com/fdmp/v18n5/47978/pdf
Reference12 articles.
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3. Shell-and-tube heat exchanger geometry modification: An efficient way to mitigate fouling;Chambon;Heat Transfer Engineering,2020
4. Oil fouling in double-pipe heat exchanger under liquid-liquid dispersion and the influence of copper oxide nanofluid;Majdi;Heat Transfer,2019
5. Heat transfer studies using artificial neural network–A review;Kamble;International Energy Journal,2014
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