Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN
Résumé
The new nanocomposite material of CuFe2O4 (copper ferrite) nanoparticles coated by SiO2 is synthesized. Then, this newly generated nanocomposite is dispersed in water/ethylene glycol (60:40) to make a new homogeneous nanofluid in order to avoid settling and agglomeration. Through suitable accurate experiments, density, viscosity and electrical conductivity of the mixture are measured at various temperatures and nanoparticles concentrations. Besides we empirical correlations for the same parameters developed via the curve fitting method. To have a better statistical view, the optimization procedure based on the enhanced artificial neural network (EANN), developed at present study, is performed. Furthermore, according to the obtained empirical results, the sensitivity analysis is provided and the margin of deviations is represented for each proposed correlation. Generation, stabilization and measuring the density, viscosity and electrical conductivity of the newly mentioned nanofluid, make present work different from the previous ones in this field. The highest amount of relative electrical conductivity is observed at T = 75 °C and φ = 0.02 (g/mL); however, the case of T = 30 °C and φ = 0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases. © 2018 Elsevier Ltd
Mots clés
Copper alloys
Copper compounds
Curve fitting
Electric conductivity
Ferrite
Iron compounds
Magnetic materials
Nanocomposites
Nanofluidics
Nanoparticles
Neural networks
Silica
Synthesis (chemical)
Thermodynamic properties
Viscosity
Copper ferrites
Curve fitting methods
Electrical conductivity
Empirical correlations
Optimization procedures
Relative electrical conductivities
Relative viscosity
Thermo-physical property
Sensitivity analysis