Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10127432 | International Journal of Heat and Mass Transfer | 2018 | 11 Pages |
Abstract
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 Tâ¯=â¯75â¯Â°C and Ïâ¯=â¯0.02 (g/mL); however, the case of Tâ¯=â¯30â¯Â°C and Ïâ¯=â¯0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Arash Karimipour, Seyed Amin Bagherzadeh, Marjan Goodarzi, Abdulwahab A. Alnaqi, Mehdi Bahiraei, Mohammad Reza Safaei, Mostafa Safdari Shadloo,