Predicting Thermal Conductivity Enhancement of Al2O3/Water and CuO/Water Nanofluids Using Quantitative Structure-Property Relationship Approach

Predicting Thermal Conductivity Enhancement of Al2O3/Water and CuO/Water Nanofluids Using Quantitative Structure-Property Relationship Approach

Natalia Sizochenko (Jackson State University, Jackson, USA), Supratik Kar (Jackson State University, Jackson, USA), Michael Syzochenko (Jackson State University, Jackson, USA) and Jerzy Leszczynski (Jackson State University, Jackson, USA)
DOI: 10.4018/IJQSPR.2019010102

Abstract

In the current contribution, the authors have applied a quantitative structure-property relationship (QSPR) approach to develop theoretical models of thermal conductivity enhancement in water-based nanofluids (Al2O3 and CuO). The developed models represent physical properties of nanofluids as functions of experimentally measured and calculated descriptors. The developed model for Al2O3 is characterized by determination coefficient R2= 0.876 (training) and R2= 0.826 (test); the model for CuO is characterized by R2 = 0.984 (training) and R2= 0.912 (test). The developed models are in good agreement with modern theories of nanofluids behavior. Size-dependent and concentration-dependent behavior of thermal conductivity of Al2O3 and CuO nanoparticles properties were discussed. The authors found that thermal conductivity increases with increase of weighted fraction-dependent parameters. The developed models have been compared with the existing models for thermal conductivity of Al2O3 and CuO water-based nanofluids.
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Materials And Methods

The original experimental data on thermal conductivity enhancement (k, %) of Al2O3 and CuO dispersed in water were gathered in the framework of NanoBRIDGES project (FP7-PEOPLE-2011-IRSES, grant agreement #295128). The collected data contained thermal conductivity values for spherical (or near-spherical) nanoparticles at temperature range of 21-25 °C (Table 1).

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