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- W2410389663 abstract "The Bayer gibbsite precipitation circuit is the hydrometallurgical core of modern alumina refineries, where bauxite ore is refined to smelter grade aluminium oxide. Predicting gibbsite precipitation circuit response to changes in operating parameters is very challenging because of the nonlinear nature of precipitation and long circuit response times that can extend to several months. A dynamic population balance based precipitation model has been developed to study the response of plant precipitation circuits. The mathematical model, simulating a plant precipitation circuit with fine and coarse seed recycles, delivering an alumina production of 0.8 Mt per annum, is used to investigate operating parameters affecting the operating stability of gibbsite precipitation circuits. The precipitation process in each continuous precipitation tank is modelled using a dynamic precipitation population balance equation incorporating crystal growth, nucleation, and agglomeration kinetics. The implemented precipitation kinetics are based on more than a decade of experimental and numerical research, leading to significant improvements over the models previously described in open literature. The precipitation circuit model predicts a dynamic response over the full particle size distribution, which is crucial for evaluating the overall precipitation yield and product properties. It is shown here that the dynamic precipitation circuit model leads to a unique steady-state solution for a given set of parameters regardless of the initial conditions applied. The particle cut-sizes of the classification units are shown to significantly affect both the precipitation yield and the crystalline product properties." @default.
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- W2410389663 date "2017-07-01" @default.
- W2410389663 modified "2023-10-14" @default.
- W2410389663 title "Dynamic response of a plant-scale gibbsite precipitation circuit" @default.
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- W2410389663 doi "https://doi.org/10.1016/j.hydromet.2016.06.002" @default.
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