2824 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
not acquired during this work to enable the assessment of
the model’s predictive capability.
The regression model indicates that the copper recov-
ery is a strong function of the fresh feed flow rate, feed sol-
ids concentration, vacuum pressure, and froth depth. The
form of the relationships between the factors and the cop-
per recovery predicted by the model are shown in the main
effect plots in Figure 9.
The copper recovery increases with feed flow rate, air
flow rate and frother addition, and it decreases as feed solids
concentration and froth depth increases, in line with the
observations from Figure 7. The regression analysis also
identified a significant interaction between froth depth and
frother addition (see Figure 10). At low frother addition, a
large negative effect was observed on copper recovery as the
froth depth increased. At high frother addition, the impact
of froth depth on copper recovery was less pronounced.
From the analysis, the following was concluded:
• Froth performance, and in particular stability, was
found to have a significant influence on copper
Figure 9. Main effect plots of factors used to predict copper recovery in the regression model
Figure 10. Interaction effect plots of froth depth and frother addition on the copper recovery predicted using the regression
model
not acquired during this work to enable the assessment of
the model’s predictive capability.
The regression model indicates that the copper recov-
ery is a strong function of the fresh feed flow rate, feed sol-
ids concentration, vacuum pressure, and froth depth. The
form of the relationships between the factors and the cop-
per recovery predicted by the model are shown in the main
effect plots in Figure 9.
The copper recovery increases with feed flow rate, air
flow rate and frother addition, and it decreases as feed solids
concentration and froth depth increases, in line with the
observations from Figure 7. The regression analysis also
identified a significant interaction between froth depth and
frother addition (see Figure 10). At low frother addition, a
large negative effect was observed on copper recovery as the
froth depth increased. At high frother addition, the impact
of froth depth on copper recovery was less pronounced.
From the analysis, the following was concluded:
• Froth performance, and in particular stability, was
found to have a significant influence on copper
Figure 9. Main effect plots of factors used to predict copper recovery in the regression model
Figure 10. Interaction effect plots of froth depth and frother addition on the copper recovery predicted using the regression
model