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A combined theory model for predicting the viscosity of water-based Newtonian nanofluids containing spherical oxide nanoparticles

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Abstract

Viscosity plays a crucial role in the flow and heat transfer process of nanofluids. To effectively calculate and predict the changing characteristics of nanofluids viscosity, this study presents a theoretical model combining the static interface layer and dynamic Brownian motion mechanisms of spherical nanoparticles for water-based Newtonian nanofluids. The model describes the reasonable dependences of nanofluids viscosity on physical properties of nanoparticles (density, volume fraction, size) and base fluid (temperature, viscosity, density). Taking four kinds of typical water-based Newtonian nanofluids containing spherical oxide nanoparticles (Al2O3, CuO, SiO2 and TiO2) as examples, the prediction performance of different viscosity models is analyzed in detail. From the comparison studies, it is demonstrated that the new viscosity model developed in this paper can exhibit better prediction performance than many well-known theoretical models and empirical correlations. Not only do the predicted results of model agree well with the experimental data from various studies, but also the effects of different factors are reflected effectively.

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Acknowledgements

The authors would like to acknowledge the National Nature Science Foundation of China (51709059), the Province Nature Science Foundation of Heilongjiang (QC2017045) and the Fundamental Research Funds for the Central Universities (HEUCFM180302) for supporting this work.

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Authors and Affiliations

  1. College of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, China

    Jialong Yang, Ningbo Zhao, Zhiming Li & Chengwen Sun

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  1. Jialong Yang
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  2. Ningbo Zhao
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Correspondence to Ningbo Zhao.

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Yang, J., Zhao, N., Li, Z. et al. A combined theory model for predicting the viscosity of water-based Newtonian nanofluids containing spherical oxide nanoparticles. J Therm Anal Calorim 135, 1311–1321 (2019). https://doi.org/10.1007/s10973-018-7510-6

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