A classification model concept for multi-component hydrocyclone performance

The behaviour of multi-component particles in a hydrocyclone is not clearly understood in the past, also unaccounted for most mathematical models. In this work, a number of historical experimental data sets were compiled to assess multi-component particles during the classification action. The bi-component classification experiments are carried-out using artificial magnetite and silica mixture in a laboratory hydrocyclone. The insights present evidence of the significant differences between the individual components to overall mixture performance in terms of their cut-size, solids recovery and sharpness of the separation were clearly assessed. An extension of single average density hydrocyclone model has been utilised to propose a model concept for hydrocyclone performance. Specific model equations of cut size, sharpness of separation and solids recovery were formulated to capture the influence of multi-component particle behaviour. The model equations were validated using independent data sets and found close match between experimental and predicted results.