期刊
APPLIED THERMAL ENGINEERING
卷 112, 期 -, 页码 1648-1657出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2016.10.129
关键词
Multi-objective optimization; Response surface method; Nanofluid; Thermal performance factor; Cost; Heat transfer coefficient
This study was conducted with the aim of optimizing Double walls carbon nanotubes (DWCNTs)/Water nanofluid from the aspect of cost reduction and improving its thermal performance. Thermal performance factor was obtained for different volume fractions of nanoparticles and Reynolds number based on experimental data. Cost of each sample is also determined based on volume fraction of nanoparticles. Then functions of the thermal performance factors and costs were calculated by response surface method using regression higher than 0.9. Multi-objective optimization method which is effectively capable of achieving optimum answers was utilized. At the end Pareto front and optimized thermal performance factors and the corresponding lowest cost were attained. Furthermore, in order to reach the optimized pattern of lowest cost according to the most desirable thermal performance, the appropriate equation is presented. The results of optimization indicate that the cost was reduced by 38% regarding the earliest iteration. (C) 2016 Elsevier Ltd. All rights reserved.
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