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Article . 2012
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Article . 2012
License: CC BY
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Modeling Of Co-Cu Elution From Clinoptilolite Using Neural Network

Authors: Kabuba, John; Mulaba-Bafubiandi, Antoine;

Modeling Of Co-Cu Elution From Clinoptilolite Using Neural Network

Abstract

{"references": ["J. Warchol, R. Petrus, \"modeling of heavy metal removal dynamics in\nclinoptilolite packed beds,\" Microporous and Mesoporous Materials.\nvol. 93, 2006, pp. 29-39.", "S. Kesraoui-Ouki, C.R. Cheeseman, R. Perry, \"Natural Zeolite\nutilization in pollution control: A review of applications to metals\neffluents,\" J. Chem.Tech. Biotechnol. vol. 59, 1994, pp.121-126.", "S.E. Bailey, T.J.Olin, M. Bricka, D. Dean, \"A review of potentially lowcost\nsorbents for heavy metals,\" Water Res. vol. 33, 1999, pp.2469-\n2479.", "B.B. Mamba, D.W. Nyembe and A.F. Mulaba-Bafubiandi \" Removal of\ncopper and cobalt from aqueous solutions using natural clinoptilolite\",\nWater SA , vol. 35, 2009, pp. 307-314.", "S. Haykyn, Neural Networks, A Comprehensive Foundantion, Prentice\nHall, India, 2003.", "K. Hornik, M. Stinchcombe, H. White, \"Multilayer feedforward\nnetworks are universal approximators\". Neural Network. vol. 2, 1989,\npp.359-366.", "M.S. Bhatti, D. Kapoor, R. K. Kalia, A.S. Reddy, A.K. Thukral, \" RSM\nand ANN modeling for electrocoagulation of copper from simulated\nwastewater: Multi objective optimization using genetic algorithm\napproach\" Desalination. vol. 274, 2011, pp.74-80.", "M.S. Lee, M.J. Nicol, \"Removal of iron from cobalt sulfate solutions by\nion excahneg with Diphonix resin and enhancement of iron elution ith\ntitanium (III)\" Hydrometallurgy. vol.86, 2007, pp.6-12.", "P.A Riveros, \" The removal of antimony from copper electrolytes using\namino-phosphonic resins: Improving the elution of pentavalent\nantimony\", Hydrometallurgy, vol.105, 2010, pp. 110-114\n[10] J.S.J. Van Deventer, L. Lorenzer, P.F. Van der Merwe, D.W. Morrison\n& Van der Westhuysen, \" The Fundamentals of unit operations in CIP\nplants: A progress report\" Minerals Engineering, vol. 7, 1994, pp.265-\n278.\n[11] P.F. Fundamentals of the elution of gold cyanide from activated carbon,\nPhD Thesis, University of Stellenbosch, South Africa, 1991, 453.\n[12] F.P. De Kook & J.S.J. Van Deventer, \"The modeling of competitive\nsorption equilibria using statistical thermodynamics\" Minerals\nEngineering, vol. 8, 1995, pp.473-493."]}

The elution process for the removal of Co and Cu from clinoptilolite as an ion-exchanger was investigated using three parameters: bed volume, pH and contact time. The present paper study has shown quantitatively that acid concentration has a significant effect on the elution process. The favorable eluant concentration was found to be 2 M HCl and 2 M H2SO4, respectively. The multi-component equilibrium relationship in the process can be very complex, and perhaps ill-defined. In such circumstances, it is preferable to use a non-parametric technique such as Neural Network to represent such an equilibrium relationship.

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South Africa
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Keywords

elution, Clinoptilolite, modeling, neural network., Elution, Neural networks

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