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Title: Towards experimental and modeling study of heat transfer performance of water- SiO2 nanofluid in quadrangular cross-section channels
Authors: Baghban, A
Sasanipour, J
Pourfayaz, F
Ahmadi, MH
Kasaeian, A
Chamkha, AJ
Oztop, HF
Chau, KW 
Issue Date: 2019
Source: Engineering applications of computational fluid mechanics, 1 Jan. 2019, v. 13, no. 1, p. 453-469
Abstract: Nanofluids have found extended applications in different industrial and engineering systems nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on the heat transfer performance, specifically convective heat transfer coefficient (H), of a quadrangular cross-section channel by considering affecting fluid flow specifications factors of Re, Pr, and concentration of nanoparticles (x) in the employing working fluid. An experimental setup is used to prepare a database consisting of 270 data points on the H, of SiO2 nanofluids. These data are then applied to develop predictive models based on three intelligent algorithms, namely multi-layer perceptron (MLP), adaptive neuro-fuzzy inference system (ANFIS), and least squares support vector machine (LSSVM), respectively. Graphical and statistical error criterions are carried out to evaluate the credibility of the proposed approaches. The LSSVM method had the precise performance regarding the mean squared error (MSE) and the coefficient of determination (R-2) of 59.7 and 0.9992, respectively. A sensitivity analysis is also carried out to assess the impact of different parameters on the H demonstrating that the Prandtl number has the highest impact with a relevancy factor (r) of 0.524.
Keywords: Convective heat transfer coefficient
Cross-section channels
Intelligent approaches
Publisher: Taylor & Francis
Journal: Engineering applications of computational fluid mechanics 
ISSN: 1994-2060
EISSN: 1997-003X
DOI: 10.1080/19942060.2019.1599428
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 (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Alireza Baghban, Jafar Sasanipour, Fathollah Pourfayaz, Mohammad Hossein Ahmadi, Alibakhsh Kasaeian, Ali J. Chamkha, Hakan F. Oztop & Kwok-wing Chau (2019) Towards experimental and modeling study of heat transfer performance of water- SiO2 nanofluid inquadrangular cross-section channels, Engineering Applications of Computational Fluid Mechanics, 13:1, 453-469 is available at
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