Nwosu, Paul N.Meyer, Josua P.Sharifpur, Mohsen2014-08-262014-08-262014-09Nwosu, PN, Meyer, JP & Sharifpur, M 2014, 'Nanofluid viscosity : a simple model selection algorithm and parametric evaluation', Computers and Fluids, vol. 101, pp. 242-249.0045-7930 (print)1879-0747 (online)10.1016/j.compfluid.2014.04.001http://hdl.handle.net/2263/41593In 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.en© 2014 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Computers & Fluids. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Fluids, vol. 101, pp. 242-249, 2014. doi : 10.1016/j.compfluid.2014.04.001.NanofluidViscosityModelAlgorithmPostprint Article