Artificial Neural Network Turbulent Modeling for Predicting the Pressure Drop of Nanofluid
Автор: M. S. Youssef, Ayman A. Aly
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 11 Vol. 5, 2013 года.
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An Artificial Neural Network (ANN) model was developed to predict the pressure drop of titanium dioxide-water (TiO2-water). The model was developed based on experimentally measured data. Experimental measurements of fully developed turbulent flow in pipe at different particle volumetric concentrations, nanoparticle diameters, nanofluid temperature and Reynolds number were used to construct the proposed model. The ANN model was validated by comparing the predicted results with the experimental measured data at different experimental conditions. It was shown that, the present ANN model performed well in predicting the pressure drop of TiO2-water nanofluid under different flow conditions with a high degree of accuracy.
Nanofluids, Particle Concentration, Turbulent Flow, Pressure Drop, Artificial Neural Network
Короткий адрес: https://sciup.org/15011987
IDR: 15011987
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