Nanofluid viscosity : a simple model selection algorithm and parametric evaluation

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Authors

Nwosu, Paul N.
Meyer, Josua P.
Sharifpur, Mohsen

Journal Title

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Publisher

Elsevier

Abstract

In this paper, a study is undertaken to investigate the degree of variability between empirical nanofluid viscosity data and the viscosity model predictions. It is seen that there is a high degree of variability in the compared data, which suggests that a wide range of constitutive factors need to be incorporated into the models in order to adequately account for the rheological behavior of nanofluids. A selection algorithm is also proposed as a simple but effective tool for the model selection process in different nanofluidic conditions/ compositions; consequently the odds of redundancy are substantially reduced.

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Keywords

Nanofluid, Viscosity, Model, Algorithm

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Citation

Nwosu, PN, Meyer, JP & Sharifpur, M 2014, 'Nanofluid viscosity : a simple model selection algorithm and parametric evaluation', Computers and Fluids, vol. 101, pp. 242-249.