PREDICTION OF EXTRACTION EFFICIENCY IN RDC COLUMN USING ARTIFICIAL NEURAL NETWORK
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Abstract
An application of neural network technique was introduced in modeling extraction efficiency in RDC column, based on a data bank of around 352 data points collected in the open literature. Three models were made, using back-propagation algorithm, the extraction efficiency was found to be a function of seven dimensionless groups: Weber number (we), (Vd Vc), (c d), (Ds Dt), (Dr Dt), (Zc Dt) and(Zt Zc). Statistical analysis showed that the proposed models have an average absolute error (AARE) and standard deviation (SD) of 12.23% and 10.61% for the first model, 5.35% and 6.21% for the second model, 8.34% and 7.59% for the third model. The developed correlations also show better prediction over a wide range of operating conditions, physical properties and column geometry.
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Al-Aswad, K.K., Mumford, C.J. and Jeffreys, G.V., (1985), “The application of drop size distribution and discrete drop mass transfer models to assess the performance of a rotating disc contactor ”, AICHE. J., 31, 9, 1488-1497.
Alders, L., (1959), “liquid-liquid extraction”, Elsevier publishing company.
Al-Hemiri, A.A., (1973), “The effect of surface renewal on mass transfer in agitated contactors”, Ph.D., thesis, University of Aston, UK.
Al-Husseini, R. and Korchinsky, W.J., (1986), “liquid-liquid extraction (RDC) model parameters from drop size distribution and solute concentration measurements”, J. Chem. Tech. Biotechnol, 36, 395-409.
Charteres, R.H., and Korchinsky, W.J., (1978), “Drop size and extraction efficiency measurements in a pilot plant rotating disc contactor, Trans. I. Chem. Eng, 56, 91-95.
Cruz-Pinto, J.J.C., and Korchinsky, W.J., (1983), “Exact solutions of the Newman, and the Handlos-Baron, model equation for counter current flow extraction”, Comp. Chem. Eng, 7, 19-25.
Ismail, A., (1985), “Evaluation of the hydrodynamic and mass transfer parameters in an extraction column (RDC)”, Ph. D. thesis, Victoria, University of Manchester.
Korchinsky, W.J., and Cruz-Pinto, J.C., (1979), “Mass transfer coefficientscalculation for rigid and oscillating drops in extraction columns”, Chem. Eng. Sci, 34, 551-561.
Korchinsky, W.J., Loke, C.T. and Cruz-pinto, J.J.C., (1982), “Optimization of drop size in counter current flow liquid-liquid extraction columns”, Chem. Eng. Sci., 37, 5, 781-786.
Krishnaiah, M.M., Pai, M.U., Rao, R. and Sastri, S.R., (1967), “Performance of a rotating disc contactor with perforated rotors”, British chemical engineering, 12, 5, 719-721.
Laddha, G.S., and Degaleesan, T.E., (1976), “Transport phenomena in liquid extraction”, Tata Mc Graw-Hill publishing Co. Ldt, New Delhi.
Laddha, G.S., and Kannappan, R., (1978), “Hydrodynamic and mass transport in rotating disc contactors”, Can. J. Chem. Eng, 56, 137-149.
Lendaris, G., (2004), “Supervised learning in ANN from introduction to artificial intelligence”, New York, April 7.
Logsdail, D.H., Thornton, J.D., and Pratt, H.R.C., (1957), “liquid-liquid extraction part XII: flooding rates and performance data for a rotating disc contactor”, Trans. Inst. Chem. Eng., 35, 301-315.
Reman, G.H, (1952), Proc.3rd world petrol congress, Hague, section III.
Reman, G.H., and Olney, R.B., (1955), “The rotating-disc contactor- a new toot for liquid-liquid extraction”, Chemical Engineering progress, 51, 3, 141-146.
Sivanadam, S.N., (2003), “Introduction to artificial neural networks”, Vikas publishing House Pvt. Ldt.
Vermijs, H.J., and Kramers, H., (1954), “Liquid-liquid extraction in rotating disc contactor”, Chem. Eng. Sci., 3, 55-64.
Zhang, S.H., NI, X.D. and Su, Y.F., (1981), “Hydrodynamics axial mixing and mass transfer in rotating disc contactors”, Can. J. Chem. Eng, 59, 573-583.
Zhang, X.D., and Su, Y.F., (1985), “A model for liquid-liquid extraction column performance the influence of drop size distribution on extraction efficiency”, Can. J. Chem. Eng, 63, 212-226