In this study, the thermal conductivity of TiO2-CaCO3/Water hybrid nanofluid prepared in five different concentrations has been investigated experimentally. Using the experimental data obtained, a mathematical correlation and an artificial neural network model have been developed in order to predict thermal conductivity depending on concentration and temperature. In the feed-forward back-propagation artificial neural network with 10 neurons in its hidden layer, the multi-layer perceptron model has been preferred. While the R value for the proposed new mathematical correlation was 0.9999, it has been obtained as 0.99913 for the artificial neural network model. The average error rate has been calculated as 0.005% for the mathematical model and -0.02% for the artificial neural network.
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Öcal et al. (2021) studied this question.