Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

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Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles (2015, background): “[21] experimentally presented the thermal conductivity of MgO/EG nanofluids with different sizes of MgO nanoparticles including 20, 40, 50, and 60 nm.”
Measurement of thermal conductivity of ZnO–TiO2/EG hybrid nanofluid (2016, unknown): “[25] MgO/EG knf kbf 1⁄4 1:1461 þ 0:0052 T ð Þ þ 5:3056u ð Þ 0:0159 dp 7:09 10 5 T(2) þ 160u(2) þ 3:83 10 4 d(2) p”
Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2–EG using experimental data (2015, methodology): “They have also presented a neural network to estimate the MgO–EG nanofluids' thermal conductivity using the experimental data [20].”
Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods (2015, methodology): “[28] measured the thermal conductivity of magnesium oxide-ethylene glycol nanofluids and modeled experimental data by an artificial neural network.”
Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods (2015, methodology): “[21] investigated the thermal conductivity of MgO-EG nanofluids using ANN; in addition, they suggested an empirical correlation to calculate the thermal conductivity ratio of MgO-EG nanofluids.”