Fuzzy Logic Modelling of P-recovery and Fe-loss During the Reverse Flotation of Hematite Fines

摘要

The complexity induced by the interaction among surface, chemical, mineralogical and process variables makes flotation engineering difficult to describe and control. The objective of the present paper was to improve our understanding of the influence of chemical variables on flotation performance and to use this understanding for the prediction of the optimum process conditions for the dephosphorization of hematite fines. The fuzzy logic technique is presented as a tool in order to tackle the simulation of the flotation process. The power of fuzzy logic to implement and model imprecise real world data is used to construct a model that is able to predict the effect of chemical parameters on flotation performance. The input and output parameters affecting the dephosphorization of hematite fines by flotation are described as fuzzy expressions. Based on the experimental data, a fuzzy knowledge base containing if-then rules is developed. The predicted results by the fuzzy model are in good agreement with the experimental data. By using this approach, the chemical parameters during the dephosphorization of hematite fines by flotation can be optimised.