Nanofluid Viscosity: A simple model selection algorithm and parametric evaluation
National Centre for Energy Research and Development, University of Nigeria, Nsukka, Nigeria; Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa
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. © 2014 Elsevier Ltd.
Algorithms; Models; Viscosity; Degree of variability; High degree of variability; Model Selection; Nanofluids; Rheological behaviors; Selection algorithm; Simple modeling; Viscosity modeling; Nanofluidics