Estimated Outlet Temperatures in Shell-and-Tube Heat Exchanger Using Artificial Neural Network Approach Based on Practical Data

Estimated Outlet Temperatures in Shell-and-Tube Heat Exchanger Using Artificial Neural Network Approach Based on Practical Data

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The objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The co...

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Detalles Bibliográficos
Autor principal: Hisham Hassan Jasim
Formato: article
Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2013
Materias:
Artificial neural network
Shell-and-tube heat exchanger
Outlet temperatures
training
validation and testing
Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Acceso en línea:https://doaj.org/article/f2366a2fdb4143c68740d246b7f46223
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