EVALUATION OF THE THERMAL CONDUCTIVITY OF NANOFLUIDS USING STATISTICAL ANALYSIS METHODS

被引：0

作者：

Salhi, Hicham ^{[1
]}

Chafai, Nadjib ^{[2
]}

机构：

[1] Univ Mustapha Ben Boulaid Batna 2, Lab Appl Res Hydraul, Batna, Algeria

[2] Univ Ferhat ABBAS Setif 1, Fac Technol, Dept Proc Engn, Lab Electrochem Mol Mat & Complex, Setif, Algeria

来源：

NANOSCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL | 2022年 / 13卷 / 04期

关键词：

statistical analysis; cluster analysis; thermal conductivity; nanofluids; HEAT-TRANSFER ENHANCEMENT; VISCOSITY; SUSPENSIONS; MODEL;

D O I：

暂无

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

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 A(l2)O(3), 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.

引用

页码：45 / 62

页数：18

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