Pareto optimal design of thermal conductivity and viscosity of NDCO3O4 nanofluids by MOPSO and NSGA II using response surface methodology

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Author list: Hemmat Esfe M., Hajmohammad M.H., Wongwises S.

Publisher: Bentham Science Publishers

Publication year: 2018

Journal: Current Nanoscience (1573-4137)

Volume number: 14

Issue number: 1

Start page: 62

End page: 70

Number of pages: 9

ISSN: 1573-4137

eISSN: 1875-6786

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042671720&doi=10.2174%2f1573413713666170914103043&partnerID=40&md5=981037030726b5760ad435a21dc9bfed

Languages: English-Great Britain (EN-GB)

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Abstract

Background: Achieving a nanofluid with optimal thermal conductivity and viscosity is one of the main problems of applications of nanofluids in industries. Methods: There are experimental and theoretical methods to reach an applicable nanofluids with mentioned characteristics. Surely, experimental methods are not optimal in time and cost(*dollar;) aspects. So, in the present study multi-objective optimization of nanofluids ND-Co3O4 is done to find the optimal solid volume fraction for having maximum thermal conductivity and minimum viscosity. The response surface methodology (RSM) is used to model target functions using empirical data. The improved non- dominated sorting method and multi-objective particle swarm optimization are used as powerful tools for optimization. In order to implement the optimization process, the obtained target function model is joined to multi-objective particle swarm algorithm and it is used in each step of the target function evaluation. Results: The obtained results of these two algorithms are presented in the form of Pareto front. Also, a comparison between them is provided. According to the optimal results, MOPSO has a better performance that the other one. Conclusion: It will be shown that the highest thermal conductivity and the lowest viscosity occur at the maximum temperature. By investigating obtained optimum results, the optimal point with highest thermal conductivity and lowest viscosity was found at about 60 ฐC and 0.1 to 0.11 of solid volume fraction. ฉ 2018 Bentham Science Publishers.

Keywords

Non-dominated sorting optimization, Pareto optimal design