This paper proposed a dynamic model for paste Thickening Equipment supplier based on first principle that can be used for the purpose of control design. Together with a Kalman Filter and online plant data, the model is able to predict the concentration profile and estimate the parameters of different coal types which vary continuously in a coal preparation plant.
Maximizing thickener underflow density has advantages in many of the traditional thickener applications. There is a long history of innovations in thickener design to enable the production of higher densities. Large High Density thickeners were pioneered in the late 1980’s. The roots of the FLSmidth Deep Cone thickeners go back to the 1960’s. Over the last two decades significant advances in the design of thickeners has enabled production of higher densities than was traditionally possible. This started with smaller tonnage machines but now extends to all production sizes. The technology has significant benefits and has been proven in applications such as leach feed, CCD circuits, underground backfill, filter feed, and tailings disposal. OCP has recently used this technology extensively in order to thicken the pulp of phosphate concentrate coming from the pipe line (transportation from the Mine to the chemical fertilizer complex) to the leaching tank where the phosphate is transformed into phosphoric acid. In relation to thickener performance, underflowrheology is typically discussed in terms of its yield stress. At low solids concentrations slurries behave as essentially Newtonian fluids. However at a high enough concentration, the particle interactions increase to a point where the slurry exhibits a resistance to deformation.
As the expectations for more consistent and higher density thickened and paste tailings increase, so do the demands on thickener performance. Over the last 20 years, the “Improving Thickener Technology” series of projects, have significantly advanced the understanding of thickening by combining fundamental investigations of flocculation, advanced mathematical and computational modelling and pilot-scale measurement/validation. This has produced unique tools for thickener design and optimisation.
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