Experimental Study for Thermophysical Properties of ZrO2/Ethylene Glycol Nanofluid: Developing an ANFIS Modeling and Proposing New Correlations

Nanofluids are potential coolants for heat transfer applications because of their excellent thermal characteristics. Experimentally the thermophysical properties of ZrO2/ethylene glycol nanofluids are determined at 0.2%, 0.4%, 0.6%, 0.8%, and 1.0% vol. concentrations. A two-step method is used to prepare the stable nanofluids. The ZrO2/EG nanofluids properties were estimated over temperature ranging from 20 degrees C to 60 degrees C. From the exper-imental data, a multi-layer perceptron feed-forward back propagation artificial neural network was developed. Additionally, new correlations were proposed for all the thermophysical properties. The experimental analysis showed that thermal conductivity is enhanced by 19.6% at 60 degrees C and viscosity is enhanced by 86.62% at 20 degrees C at 1.0% vol. of nanofluid, density is enhanced by 4.9%, and specific heat is decreased by 4.2% at 1.0% vol. of nanofluid and at 60 degrees C, over base fluid data. The proposed ANN model succeeded in predicting the target property with minimum RMSE. The results of the developed artificial neural network and its correlation analysis IP: 203.8.109.20 On: Tue, 09 May 2023 06:47:31 perfectly agree with the experimental data. Copyright: American Scientific Publishers Delivered by Ingenta

Automated summary

The thermophysical properties of ZrO2/ethylene glycol nanofluids at different concentrations were experimentally determined. A two-step method was used to prepare stable nanofluids, and a multi-layer perceptron feed-forward back propagation artificial neural network was developed to predict the target property.