The development of froth flotation is traced from its earliest-known use through the discoveries leading to the present knowledge of the science. The factors influencing the flotation of non-sulfide and non-metallic minerals are discussed, and the machines used in commercial flotation operations are described. Experimental work on the flotation beneficiation of phosphate rock is presented as an...

Image processing technology has been successfully applied to fault detection of copper flotation processes, and the key to realize image processing based fault condition recognition is accurately extracting froth image features closely related to key production indices. To extract texture features of froth images in real-time, a multi-scale gray level co-occurrence matrix (M-GLCM) method is pro...

It is possible to obtain good performance from a flotation plant but it has proved difficult to maintain such performance. Recovery rates on a flotation plant can be around 90% and often lower, making flotation one of the least efficient processes in the concentration path. Hence, over the last few decades much research and development has gone into the stabilization and optimization of flotati...

Texture and color appearance of froth is a discreet qualitative tool for evaluating the performance of flotation process. The structure of a froth developed on the flotation cell has a significant effect on the grade and recovery of copper concentrate. In this work, image analysis and neural networks have been implemented to model and control the performance of such a system. The result reveals...

For meeting the forecasting target of key technology indicators in the flotation process, a BP neural network soft-sensor model based on features extraction of flotation froth images and optimized by shuffled cuckoo search algorithm is proposed. Based on the digital image processing technique, the color features in HSI color space, the visual features based on the gray level cooccurrence matrix...

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and brightness) and texture features (angular second moment, sum entropy, inertia moment, etc.) based ...

Dephosphorization of magnetite fines at LKAB is carried out by floating the phosphorous gangue using a fatty acid based collector namely Atrac and MIBC frother. Excessive and stable froth formation in flotation led to an unnecessary step of diluting the phosphate froth gangue component to transport to tailings damn. In this study the influence of reagents and their combinations on the froth pro...

This paper will discuss the use of CFD in foam and froth modelling. The physics of froths is introduced and the methodology of combining the models for each phase into a complete description is reviewed. The utility of the CFD model is illustrated in two ways: First the equations are solved explicitly, giving a clear interpretation of process variables and their importance. Second, an example o...

In the collection zone of a flotation column, the air holdup is known to be relatively constant along the column height. The effect of the decrease in hydrostatic pressure with height may need to be taken into consideration, particularly for tall industrial columns. However, this phenomenon is readily ascertained. On the other hand, the changes at the pulp-froth interface, as well as the air fr...