Viscosity prediction and optimization of ZnO-coconut oil nanofluids using numerical simulation

Abstract

The present study aimed at the prediction and optimization of ZnO-coconut oil nanofluid using numerical simulation. Two inputs, temperature, and nanofluid concentration, and one output (viscosity) were determined for simulation. The simulation was performed in the temperature range 35 to 55 and nanofluid concentration 0 to 0.48. The multivariant empirical model was developed and validated with the experimental data, and the results showed a good agreement. The model was further used for the optimization of process parameters such as temperature and nanofluid concentration with the objective of minimization and maximization of viscosity. The minimum viscosity was obtained at temperature (55 °C) and nanofluid concentration (0), while the maximum viscosity was obtained at temperature (35 °C) and nanofluid concentration (0.48).