International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.5, No.11, Oct. 2013
Artificial Neural Network Turbulent Modeling for Predicting the Pressure Drop of Nanofluid
Full Text (PDF, 480KB), PP.13-20
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.
Cite This Paper
M. S. Youssef, Ayman A. Aly,"Artificial Neural Network Turbulent Modeling for Predicting the Pressure Drop of Nanofluid", International Journal of Information Technology and Computer Science(IJITCS), vol.5, no.11, pp.13-20, 2013. DOI: 10.5815/ijitcs.2013.11.02
Aly, A. A., 2007 “Flow Rate Control of Variable Displacement Piston Pump With Pressure Compensation Using Neural Network” Journal of Engineering Science, Vol. 33, No. 1, pp. 199-209.
Demir, H., Dalkilic, A. S., Kürekci, N. A., Duangthongsuk, W., and Wongwises, S., 2011 "Numerical investigation on the single phase forced convection heat transfer characteristics of TiO2 nanofluids in a double-tube counter flow heat transfer" International Communications in Heat and Mass Transfer, Vol. 38, pp. 218-228.
Duangthongsuk, W. and Wongwises, S., 2009 " Heat transfer enhancement and pressure drop characteristics of TiO2-water nanofluid in a double-tube counter flow heat exchanger" International Journal of Heat and Mass Transfer, Vol. 52, pp. 2059-2067.
Duangthongsuk, W. and Wongwises, S., 2010 "An experimental study on the heat transfer and pressure drop of TiO2-water nanofluids flowing under a turbulent regime" International Journal of Heat and Mass Transfer, Vol. 53, pp. 334-344.
Fard, M. H., Esfahany, M. N., and Talaie, M. R., 2010 "Numerical study of convective heat transfer of nanofluids in a circular tube two-phase model versus single-phase model" International Communications in Heat and Mass Transfer, Vol. 37, pp. 91-97.
Fotukain, S. M. and Esfahany, M. N., 2010 "Experimental study of turbulent convective heat transfer and pressure drop of dilute CuO/water nanofluid inside a circular tube" International Communications in Heat and Mass Transfer, Vol. 37, pp. 214-219.
He, Y., Jin, Y., Chen, H., Ding, Y., Cang, D., and Lu, H., 2007 "Heat transfer and flow behavior of aqueous suspensions of TiO2 nanoparticles (nanofluids) flowing upward through a vertical pipe" " International Journal of Heat and Mass Transfer, Vol. 50, pp. 2272-2281.
Hsu, K. L., Gupta, H. V., and Sorooshian, S., 1995 "Artificial neural network modeling of the rainfall-runoff process" Water Resources Research, Vol. 31, No. 10, pp. 2517-2530.
Ko, G. H., Heo, K., Lee, K., Kim, D. S., Kim, C., Sohn, Y., and Choi, M., 2007 "An experimental study on the pressure drop of nanofluids containing carbon nanotubes in a horizontal tube" International Journal of Heat and Mass Transfer, Vol. 50, pp. 4749-4753.
Kondaraju, S., Jin, E. K., and Lee, J. S., 2010 "Direct numerical simulation of thermal conductivity of nanofluids: The effect of temperature two-way coupling and coagulation of particles" International Journal of Heat and Mass Transfer, Vol. 53, pp. 862-869.
Kurt, H. and Kayfeci, M., 2009 "Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks" Applied Energy, Vol. 86, pp. 2244-2248.
Namburu, P. K., Das, D. K., Tanguturi, K. M., and Vajjha, R. S., 2009 "Numerical study of turbulent flow and heat transfer characteristics of nanofluids considering variable properties" International Journal of Thermal Sciences, Vol. 48, pp. 290-302.
Peng, H., Ding, G., Jiang, W., Hu, H., and Gao, Y., 2009 "Measurement and correlation of frictional pressure drop of refrigerant-based nanofluid flow boiling inside a horizontal smooth tube" " International Journal of Refrigeration, Vol. 32, pp. 1756-1764.
Saidur, R., Leong, K. Y., and Mohammad, H. A., 2011 "A review on applications and challenges of nanofluids" Renewable and Sustainable Energy Reviews, Vol. 15, pp. 1646-1668.
Sajadi, A. R., and Kazemi, M. H., 2011"Investigation of turbulent convective heat transfer and pressure drop of TiO2/water nanofluid in circular tube" International Communications in Heat and Mass Transfer, Vol. 38, pp. 1474-1478.
Teng, T. P., Hung, Y. H., Jwo, C. S., Chen, C. C., and Jeng, L. Y., 2011 "Pressure drop of TiO2 nanofluid in circular pipes" Particuology, Vol. 9, pp. 486-491.
Vajjha, R. S., Das, D. K., and Kulkarni, D. P., 2010 "Development of new correlations for convective heat transfer and friction factor in turbulent regime for nanofluids" International Journal of Heat and Mass Transfer, Vol. 53, pp. 4607-4618.
Yu, W., France, D. M., Choi, S. U. S., and Routbort, J. L., 2007 "Review and assessment of nanofluid Technology for transportation and other applications" Energy Systems Division, Argonne National Laboratory.