To read the full version of this content please select one of the options below:

Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids’ thermal conductivity according to empirical data

Zhe Tian (School of Engineering, Ocean University of China, Qingdao, China)
Seyed Amin Bagherzadeh (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Kamal Ghani (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Arash Karimipour (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Ali Abdollahi (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mehrdad Bahrami (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mohammad Reza Safaei (Division of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam and Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 13 June 2019

Issue publication date: 22 May 2020

Abstract

Purpose

This paper aims to propose a new nonlinear function estimation fuzzy system as a novel statistical approach to estimate nanofluids’ thermal conductivity.

Design/methodology/approach

A fuzzy system having a product inference engine, a singleton fuzzifier, a center average defuzzifier and Gaussian membership functions is proposed for this purpose.

Findings

Results indicate that the proposed fuzzy system can predict the thermal conductivity of Al2O3/paraffin nanofluid with appropriate precision and generalization and it also outperforms the classic interpolation methods.

Originality/value

A new nonlinear function estimation fuzzy system was introduced as a novel statistical approach to estimate nanofluids’ thermal conductivity for the first time.

Keywords

Acknowledgements

This research is partially supported by NSFC (51709244), Research Project of Central Universities (201941008) and Taishan Scholar (tsqn201812025).

Citation

Tian, Z., Bagherzadeh, S.A., Ghani, K., Karimipour, A., Abdollahi, A., Bahrami, M. and Safaei, M.R. (2020), "Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids’ thermal conductivity according to empirical data", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 6, pp. 3267-3281. https://doi.org/10.1108/HFF-12-2018-0768

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited