Principle of Technology Individualization in Selective Flotation

"It is suggested that improvement of separation process efficiency in machines and circuits of selective flotation should be based on application of the principle of technology individualization (PIT). This principle is grounded on the following provisions.The mineral composition of ores is used to establish the correlation between the selective reagent mode and the individual value of hydrodynamic conditions of flotation machines together with individual structure of the process flow diagram. The individuality of all sorts of particles identified by methods of process mineralogy was characterized by their distribution according to the rate of flotation (or spectrum). The spectrum identification is carried out by modeling and by experimental and computational method on the data obtained on various types of laboratory flotation machines.The computer-aided test is used to determine the optimal fraction distribution, which reaches the highest possible level of concentration data. The direction of hydrodynamic factors action on concentration data is estimated based on comparison of design base and experimental spectrum. The improvement of separation efficiency in devices is achieved in special-purpose flotation machines (SFM) the design of which provides optimization of hydrodynamic regime in spatially isolated zones. It is demonstrated that the main parameter of SFM operating mode individualization is the rise rate of bubbles going from the chamber into the froth. During this time the composition of particles optimum for separation is formed on its surface. Additionally, it is necessary to coordinate in the zones the residence time of pulp and foam streams with the air consumption. The improvement of separation efficiency in flotation process flow diagrams may be achieved by making several cascades with SFM installed in them. The individual effective structure of the scheme for a definite ores material composition depends on the ratio of particle varieties in the spectrum and is revealed by modeling."