%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