Excellence in Research and Innovation for Humanity
%0 Journal Article
%A John Kabuba and  Antoine Mulaba-Bafubiandi
%D 2012 
%J  International Journal of Chemical, Molecular, Nuclear, Materials and Metallurgical Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 68, 2012
%T Modeling of Co-Cu Elution From Clinoptilolite using Neural Network
%U http://waset.org/publications/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 733 - 736