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Open image in new window Fig. 3 Parity plot of the response surface model for viscosity.
Further work is required to determine the new model for viscosity for nanofluids with different materials.
This study aimed to develop a simplified prediction model for viscosity of imidazolium-based ILs using QSPR coupled with the descriptors of group contribution.
The thermodynamic and transport properties of the supercritical thermal/catalytic cracked kerosene are calculated using the Redlich Kwong Peng Robinson cubic equation of state and Chung's model for viscosity and conductivity.
Combing the non-affine network model for hyperelasticity and modified tube model for viscosity, both understood by molecular simulations, we develop a mechanism-based constitutive model for finite strain viscoelasticity of elastomers.
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In this study, the influence of aerated oil on a high-speed journal bearing is also examined by using the classical thermohydrodynamic lubrication theory coupled with analytical models for viscosity and density of an air oil mixture in a fluid-film bearing.
Figure 3 depicts the parity plot for the response surface model (8) for viscosity.
Furthermore, model capability for viscosity trends prediction was checked against nanoparticle volume fraction and temperature changes and it shows very good agreement with experimental data.
Krieger and Dougherty [5] in 1959 proposed a semi- empirical model for shear viscosity for randomly monodispersed hard spherical particles.
The prime aim of this work is to develop a new model for effective viscosity of nanofluids.
For gas phase and solid phase, the sub-grid scale model for the viscosity is based on the Smagorinsky form.
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