Mathematical modelling of shear flocculation using a genetic algorithm.
Sharma-SK; Stanley-DA; Spears-DR
Advances in Filtration and Separation Technology: New Filtration and Separation Equipment, Annual Meeting of the American Filtration Society, May 10-14, 1992, Chicago, Illinois. Peters-RW, ed., Des Plaines, IL: Cahners Publishing Company, 1993 Jan; 6:421-432
This investigation has demonstrated that the population balance model, developed for polymer flocculation, can be used to represent the shear flocculation of silica slurry. A GA was successfully used to determine three parameters (A, B, and alpha) and to curve fit the model to the experimental data. The GA generated curves had very high correlation coefficient ranging from 0.94 to 0.99. However, it was also determined that this model is not very sensitive to the aforementioned parameters and is a very general model that requires refinement to better describe the flocculation process. This study also showed that the shear flocculation of silica slurry is dependent on at least two variables; the agitation rate and flotation collector dosage. It was also observed that shear-flocculation had two phases; rapid floc growth during the initial stage and equilibrium, achieved thereafter. The extent of floc growth was dependent on the amount of collector used.
Mathematical-models; Models; Silicates; Minerals; Mineral-processing
Book or book chapter
Advances in Filtration and Separation Technology: New Filtration and Separation Equipment, Annual Meeting of the American Filtration Society, May 10-14, 1992, Chicago, Illinois