PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Abstract Central composite rotatable design (CCRD) and artificial neural networks (ANN) have been applied to optimize the performance of nanofluid systems. In this regard, the performance was evaluated by measuring the stability and thermal conductivity ratio based on the critical independent variab...

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Bibliographic Details
Main Authors: A. Kazemi-Beydokhti, H. Azizi Namaghi, M. A. Haj Asgarkhani, S. Zeinali Heris
Format: Article
Language:English
Published: Brazilian Society of Chemical Engineering 2015-12-01
Series:Brazilian Journal of Chemical Engineering
Subjects:
Nanofluid
Central composite design
Artificial neural network
Statistical
Stability
Thermal conductivity
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322015000400903&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322015000400903&lng=en&tlng=en

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