Analysis of the effect of roughness and concentration of Fe3O4/water nanofluid on the boiling heat transfer using the artificial neural network: An experimental and numerical study

Since experimental studies in the field of nanofluid pool boiling requires costly and time-consuming tests, numerical methods such as artificial neural networks with higher predictability and nonlinear features are suitable for prediction and modeling of problem parameters. In this paper, 180 pool b...

Full description

Bibliographic Details

Published in:	International journal of thermal sciences Vol. 163; p. 106863
Main Authors:	Peng, Yeping, Ghahnaviyeh, Milad Boroumand, Ahmad, Mohammad Nazir, Abdollahi, Ali, Bagherzadeh, Seyed Amin, Azimy, Hamidreza, Mosavi, Amirhosein, Karimipour, Aliakbar
Format:	Journal Article
Language:	English
Published:	Elsevier Masson SAS 01.05.2021
Subjects:	Artificial neural network BHTC Fe3O4/Water nanofluid Multi-objective genetic algorithm Pool boiling Surface roughness Multi-objective genetic algorithm BHTC Surface roughness Artificial neural network Fe3O4/Water nanofluid Pool boiling
ISSN:	1290-0729, 1778-4166
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!