Comparison of the Experimental and Predicted Data for Thermal Conductivity of Fe3O4/water Nanofluid Using Artificial Neural Networks

Comparison of the Experimental and Predicted Data for Thermal Conductivity of Fe3O4/water Nanofluid Using Artificial Neural Networks

Objective(s): This study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ANN) and correlation using experimental data. Methods: Two-layer perceptron feedforward artificial neural network and ba...

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Bibliographic Details
Main Authors: Reza Aghayari, Heydar Maddah, Ali Reza Faramarzi, Hamid Mohammadiun, Mohammad Mohammadiun
Format: Article
Language:English
Published: Iranian Society of Nanomedicine 2016-07-01
Series:Nanomedicine Research Journal
Subjects:
Thermal conductivity
Artificial Neural Network
Nanofluid
Online Access:http://www.nanomedicine-rj.com/article_20603_ae17bd062e1fe746abc5227ef0a16a82.pdf

Internet

http://www.nanomedicine-rj.com/article_20603_ae17bd062e1fe746abc5227ef0a16a82.pdf

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