COPPER ORE FLOTATION PARAMETERS OPTIMIZATION USING STATISTICAL TECHNIQUES

Mathematical simulation has been used in mineral processing system design, optimization and control for more than 30 years. Presently a new set of simulation tools based on the physics of the underlying processes were developed. Because these models provide accurate micro scale simulations of equipment and process behavior, these high-fidelity simulation (HFS) tools are deemed to constitute a radical innovation of great importance to the mineral processing industry. This research study deals with the development of a mathematical model based on the parameters processes developed both at laboratory and pilot scale of North Waziristan copper ore. In the mathematical model the effect of four process parameters (parameters are denoted by X1, X2. X3 and X4) will be tested individually on grade (YG) (enrichment) of copper in the final product of North Waziristan. When the value of NaPX is 200 gm/ton, pH is 11.5, Na2S is 22 gm/ton and the value of NaCN is 58 gm/ton.