A dynamic model for level prediction in aerated tanks

The transition from first to zero order flotation kinetics and its implications for the efficiency of large flotation cells

“…This implies not only that the impact of changing bubble rise velocity on is likely to be small, but also that a linear change in gas holdup with air rate is expected, which has indeed been observed by a number of researchers over quite a wide range of gas rates (e.g. Gorain et al, 1995;Shean et al 2018). For ease of comparison to the previous work we will thus use the variable for this ratio:…”

“…We will also be assuming that a single holdup value can be used, though in large cells the hydrostatic head will cause a variation in holdup with depth. This can readily be corrected for (see the appendix of Shean et al, 2018), but will add complexity to the equations without having any significant impact on the trends and relationships derived. If is the rise velocity of the bubbles then the gas flux out of the flotation cell is .…”

A dynamic flotation model for predictive control incorporating froth physics. Part I: Model development

“…The gas free pulp height (h 0 ) is derived from a material balance in the cell as (Shean et al, 2018):…”

Development and Validation of a Dynamic Model for Flotation Predictive Control Incorporating Froth Physics

“…In the pulp phase, one of the most important variables for flotation control is the pulp level. Results for the validation of the dynamic model for pulp level prediction, based on the model proposed by [12], revealed high accuracy in terms of the prediction and trends for this variable. In the froth phase, air recovery plays a crucial role, as it is strongly linked to froth stability and, in turn, with the overall flotation performance.…”