EVALUATION OF THE THERMAL CONDUCTIVITY OF NANOFLUIDS USING STATISTICAL ANALYSIS METHODS

被引：1
作者：
Salhi H. [1 ]
Chafai N. [2 ]
机构：
[1] Laboratory of Applied Research in Hydraulics, University of Mustapha Ben Boulaid-Batna 2, Batna
[2] Laboratory of Electrochemistry of Molecular Materials and Complex, Department of Process Engineering, Faculty of Technology, University of Ferhat ABBAS Setif-1, Sétif
来源：
Nanoscience and Technology | 2022年 / 13卷 / 04期
关键词：
cluster analysis; nanofluids; statistical analysis; thermal conductivity;
D O I：
10.1615/NanoSciTechnolIntJ.2022043360
中图分类号：
学科分类号：
摘要：
In this study, a statistical analysis method such as cluster analysis was used to group the effective thermal conductivity models of nanofluids. Ten models were selected for each nanofluid Al2 O3, SiO2, TiO2, Cu, Ag, and Al, and then four models were proposed to estimate the thermal conductivity of nanoflu-ids. For the proposed models, the volume fraction is regarded as the best predictor. The nine statistical indicators and global performance indicators are calculated to evaluate different suggested models. For all used nanofluids, the recommended Global Performance Index (GPI) for the model ranges from –6.4197 to 2.5742. The highest GPI represents the best performing model. © 2022 by Begell House, Inc. www.begellhouse.com.
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页码：45 / 61
页数：16
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