Modeling of Bauxite Ore Wet Milling for the Improvement of Process and Energy Efficiency

Size reduction is a necessary operation in mineral processing plants and provides the desired size for separation operations liberation of valuable minerals present ores. Estimations on energy consumption indicate that milling consumes more than 50 % total used mining operations. Despite fact ball an efficient operation, it intensive, its modeling great challenge. In experimental study, efforts are made to model wet bauxite ores identify optimum material filling volume mill. Modeling based characterization grinding products obtained after various periods description particle distributions using mathematical approaches, i.e., Gates–Gaudin–Schuhmann (GGS), Rosin–Rammler (RR), logistic distributions. addition, kinetic models were applied data order if linear theory population balance valid during grinding. The revealed distribution represents reliably fits better GGS RR models. Regarding analysis, was found exhibits non-first-order behavior rate each time dependent. This work line with Sustainable Development Goal UN, SDG12: Responsible Consumption Production aims improve efficiency ore thus reduce requirements associated CO2 emissions.