Modeling and estimation of thermal conductivity of MgO-water/EG (60:40) by artificial neural network and correlation

In this article, artificial neural network (ANN) model has been used to study the thermal conductivity of MgO water/EG (60:40) nanofluids based on experimental data. MgO nanoparticles in a binary mixture of water/EG (60:40) were scattered to make the above-mentioned nanofluid in two stages. The properties of the nanofluid were measured in different concentrations (0.1, 0.2, 0.5, 0.75, 1, 2, and 3%) and temperatures of 20 to 50 degrees C. Afterwards, two correlations were suggested for predicting the thermal conductivity of the nanofluids. The results of this study show that the ANN model can predict thermal conductivity to a great degree and is in agreement with the experimental results. (C) 2015 Elsevier Ltd. All rights reserved.