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Title: Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids
Authors: Baghban, A
Jalali, A
Shafiee, M
Ahmadi, MH
Chau, KW 
Keywords: Nanofluid
Sensitivity analysis
Issue Date: 2019
Publisher: Hong Kong Polytechnic University, Department of Civil and Structural Engineering
Source: Engineering applications of computational fluid mechanics, 1 Jan. 2019, v. 13, no. 1, p. 26-39 How to cite?
Journal: Engineering applications of computational fluid mechanics 
Abstract: Nanofluid viscosity is an important physical property in convective heat transfer phenomena. However, the current theoretical models for nanofluid viscosity prediction are only applicable across a limited range. In this study, 1277 experimental data points of distinct nanofluid relative viscosity (NF-RV) were gathered from a plenary literature review. In order to create a general model, adaptive network-based fuzzy inference system (ANFIS) code was expanded based on the independent variables of temperature, nanoparticle diameter, nanofluid density, volumetric fraction, and viscosity of the base fluid. A statistical analysis of the data for training and testing (with R-2 = .99997) demonstrates the accuracy of the model. In addition, the results obtained from ANFIS are compared to similar experimental data and show absolute and maximum average relative deviations of about 0.42 and 6.45%, respectively. Comparisons with other theoretical models from previous research is used to verify the model and prove the prediction capabilities of ANFIS. Consequently, this tool can be of huge value in helping chemists and mechanical and chemical engineers - especially those who are dealing with heat transfer applications by nanofluids - by providing highly accurate predictions of NF-RVs.
ISSN: 1994-2060
EISSN: 1997-003X
DOI: 10.1080/19942060.2018.1542345
Rights: © 2018 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 Baghban, A., Jalali, A., Shafiee, M., Ahmadi, M. H., & Chau, K. W. (2019). Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids. Engineering Applications of Computational Fluid Mechanics, 13(1), 26-39 is available at
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