Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81637
Title: Precise smart model for estimating dynamic viscosity of SiO2/ethylene glycol-water nanofluid
Authors: Ahmadi, MH
Sadeghzadeh, M
Maddah, H
Solouk, A
Kumar, R
Chau, KW 
Keywords: Silicon oxide nanofluid
Dynamic viscosity
nanoparticle diameter
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
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Ahmadi_Smart_Model_Viscosity.pdf2.26 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

Page view(s)

4
Citations as of Feb 19, 2020

Download(s)

2
Citations as of Feb 19, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.