Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid

Mohammad Hemmat Esfe1, Seyfolah Saedodin2, Nima Sina1, Masoud Afrand1, Sara Rostami1
1Department of Mechanical Engineering, Faculty of Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Isfahan, Iran
2Faculty of Mechanical Engineering, Semnan University, Semnan, Iran

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Hemmat Esfe, 2014, Efficiency of ferromagnetic nanoparticles suspended in ethylene glycol for application in energy devices: effects of particle size, temperature, and concentration, 58, 138

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Hemmat Esfe, 2015, Experimental investigation and development of new correlations for thermal conductivity of CuO/EG-water nanofluid, Int. Commun. Heat Mass Transfer, 65, 47, 10.1016/j.icheatmasstransfer.2015.04.006

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Hemmat Esfe, 2014, Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network, J. Therm. Anal. Calorim., 118, 287, 10.1007/s10973-014-4002-1

Hemmat Esfe, 2014, Heat transfer characteristics and pressure drop of low concentrations of COOH—functionalized DWCNTs/water nanofluid in turbulent flow, Int. J. Heat Mass Transf., 73, 186, 10.1016/j.ijheatmasstransfer.2014.01.069

Hemmat Esfe, 2015, Thermal conductivity and viscosity of Mg(OH)2-ethylene glycol nanofluids: finding a critical temperature, J. Therm. Anal. Calorim., 120, 1145, 10.1007/s10973-015-4417-3

Hemmat Esfe, 2015, Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods, Int. Commun. Heat Mass Transfer, 63, 35, 10.1016/j.icheatmasstransfer.2015.01.001

Hemmat Esfe, 2014, Experimental studies on the convective heat transfer performance and thermophysical properties of MgO-Water nanofluid under turbulent flow, Exp. Thermal Fluid Sci., 52, 68, 10.1016/j.expthermflusci.2013.08.023