Proposed new equations for calculation of thermophysical properties of nanofluids

A trial-error procedure is applied for the derivation of correlations to estimate relative thermal conductivity (kr) and dynamic viscosity (µr) nanofluids using MATLAB. Thermophysical properties particles base fluids, particle diameter (dp), sphericity, capping layer thickness, Brownian motion a particle, temperature, volume fraction (φ) are considered. The accuracy predicting kr µr developed dimensionless parameters involving fluid characteristics. results reveal that estimated values in good agreement with experimental data standard deviation 2.16% 8.16% nanofluids, respectively. Besides that, 97.5% predicted suit mean ±5%, whereas 90.4% match ±10%. Therefore, proposed new equations will be useful numerical simulation studies engineering design heat transfer devices such as refrigeration systems, solar collectors, exchangers.