Paul N. Nwosu

TL;DR: In this article, a critical review of the theoretical, empirical, and numerical models for effective viscosity of nanofluids is presented, and different parameters affecting the visco-lasticity of nanoparticles such as nanoparticle volume fraction, size, shape, temperature, pH, and shearing rate are reviewed.

TL;DR: In this paper, the degree of variability between theoretical and empirical nanofluid viscosity model predictions and relevant experimental data is examined, with some observed inconsistencies in the model formulations and the predicted data, consequently, a range of constitutive fac-tors need to be incorporated into the models in order to accurately predict the rheologi-cal behavior of nano-fluids in different use conditions.

TL;DR: In this article, a study is undertaken to investigate the degree of variability between empirical nanofluid viscosity data and the model predictions, 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 nanophores.

TL;DR: In this paper, a parametric analysis is undertaken to investigate the degree of variability between empirical data and model predictions, which suggests that a wide range of constitutive factors need to be incorporated into the models in order to account adequately for the rheological behaviour of nanofluids.

TL;DR: In this article, the influence of thermodynamic variables on thermal efficiency, power production and prediction in regenerative and concentrated solar power (CSP) plants with a novel optimization technique is investigated.