%0 Journal Article
	%A John Kabuba and  Antoine Mulaba-Bafubiandi
	%D 2012
	%J International Journal of Materials and Metallurgical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 68, 2012
	%T Modeling of Co-Cu Elution From Clinoptilolite using Neural Network
	%U https://publications.waset.org/pdf/15173
	%V 68
	%X 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.

	%P 739 - 742