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|Title:||Precise smart model for estimating dynamic viscosity of SiO2/ethylene glycol-water nanofluid||Authors:||Ahmadi, MH
|Keywords:||Silicon oxide nanofluid
Artificial neural network
|Issue Date:||2019||Publisher:||Taylor & Francis||Source:||Engineering applications of computational fluid mechanics, Jan. 2019, v. 13, no. 1, p. 1095-1105 How to cite?||Journal:||Engineering applications of computational fluid mechanics||Abstract:||Artificial neural network (ANN) is widely being used in engineering applications in order to provide predicting models to estimate the performance of the studied system under specific working conditions. One of the significant characteristics that are highly practical in fluid mechanics and heat transfer systems is the dynamic viscosity which highly affects pressure drop and also has an influence on the heat transfer performance. Due to the lack of a precise model to predict the dynamic viscosity, in this research, experimentally measured dynamic viscosity of SiO2/ethylene glycol?water nanofluid data is collected from the literature and used to present a smart model based on the ANN technique. In order to provide a precise smart model, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) algorithms are applied in the neural network. The accuracy of the proposed model is validated through performing error analysis. It is monitored that the employed approach is highly potent in estimating high accuracy responses since the results of mean square and correlation coefficient analyses are 5.5 and 0.998 Pa s.||URI:||http://hdl.handle.net/10397/81637||ISSN:||1994-2060||EISSN:||1997-003X||DOI:||10.1080/19942060.2019.1668303||Rights:||© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Mohammad Hossein Ahmadi, Milad Sadeghzadeh, Heydar Maddah, Alireza Solouk, Ravinder Kumar & Kwok-wing Chau (2019) Precise smart model for estimating dynamic viscosity of SiO2/ethylene glycol–water nanofluid, Engineering Applications of Computational Fluid Mechanics, 13:1, 1095-1105 is available at https://dx.doi.org/10.1080/19942060.2019.1668303
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Citations as of Feb 19, 2020
Citations as of Feb 19, 2020
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