Measurement and Artificial Neural Network Modeling of Electrical Conductivity of CuO/Glycerol Nanofluids at Various Thermal and Concentration Conditions

• Published in: Energies (Basel) Vol. 11; no. 5; p. 1190
• Main Authors: Aghayari, Reza, Maddah, Heydar, Ahmadi, Mohammad, Yan, Wei-Mon, Ghasemi, Nahid
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2018
• Subjects: Copper; Correlation coefficient; Correlation coefficients; Electrical conductivity; Electrical resistivity; Glycerol; Modelling; nanofluid; Nanofluids; Nanoparticles; Neural networks; Oxides; perceptron artificial neural network; Self organizing maps; Sonication; Stability; Temperature; Temperature effects; Temperature perception

In this work, the electrical conductivity of CuO/glycerol nanofluid was measured at a temperature range of 20–60 °C, volume fraction of 0.1–1.5% and nanoparticle size of 20–60 nm. The experimental data were predicted by the perceptron neural network. The results showed that the electrical conductivi...