2752 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
to that of the infrared spectroscopy. The experimental pro-
cess for flotation kinetic model calculation is different from
single mineral flotation. During the kinetic calculation, the
experiment data was obtained by scraping the foam prod-
ucts every 30 s and collecting, drying, and weighing, respec-
tively. The theoretical recovery and flotation speed constant
were calculated based on the experiment results, and the
theoretical values were obtained by fitting the origin 2023b
software. Based on the fitting variance, the fitting effect and
select the flotation dynamics model was judged. The parti-
cle-bubble visual observation used a self-assembled coating
angle testing device. 2g of mineral sample was placed in
a glass tank containing 100 ml of flotation water (deion-
ized or micro-nano bubble water). A magnetic stirrer was
utilized for a 2-minute stirring, which was followed by the
addition of flotation reagents in the single-mineral flotation
system, then each time stirred for 3 min respectively. After
the solution is clear, use a micro syringe to blow out bubbles
with a diameter of 1 mm, stir again for 100 s, then turn off
the stirring and let the solution stand. Take pictures after
the solution is clear, and use Image Pro Plus 6.0 software to
measure the wrapping angle. Each set of experiments was
tested three times, and the average value was taken.
RESULTS AND DISCUSSION
Flotation Experiments
To verify the impact of introducing micro-nano bubbles on
the flotation recovery effect of hematite and chlorite. A con-
trol experiment was conducted in which the flotation water
was deionized water and water containing micro-nano
bubbles. First, as shown in Figure 3, the effects of collector,
depressant, activator dosage, and pulp pH on mineral flota-
tion behavior were examined when using deionized water.
As the dosage of α-BLA increasing, the recovery of chlorite
initially increased and then stabilized. However, the recov-
ery decreased with the increase of depressant. This is due to
iron active sites on the chlorite surface that can interact with
the hydroxyl groups in starch (Filippov et al., 2013 Zhao et
al., 2023). During this experiment process, hematite main-
tained a stable low recovery. It is determined that without
micro-nano bubbles, the flotation difference between the
two minerals is the largest when the pH is 11, the α-BLA
dosage is 200 mg/L, the starch dosage is 10 mg/L, and the
Ca2+ concentration is 150 mg/L.
After introducing micro-nano bubbles into the flota-
tion water, it can be found from Figure 4 (a) that the impact
50 100 150 200 250
0
20
40
60
80
100
Chlorite
Hematite
(a)
10 20 30 40 50
0
20
40
60
80
100
Starch dosage (mg/L)
Chlorite
Hematite
(b)
25 50 75 100 125 150 175 200
0
20
40
60
80
100
Ca2+ concentration (mg/L)
Chlorite
Hematite
(c)
4 6 8 10
0
20
40
60
80
100
pH
Chlorite
Hematite
(d)
Figure 3. Effects of different experiment conditions on hematite and chlorite flotation (without micro-
nano bubbles)
Recovery
(%)
Recovery
(%)
Recovery
(%)
Recovery
(%)
to that of the infrared spectroscopy. The experimental pro-
cess for flotation kinetic model calculation is different from
single mineral flotation. During the kinetic calculation, the
experiment data was obtained by scraping the foam prod-
ucts every 30 s and collecting, drying, and weighing, respec-
tively. The theoretical recovery and flotation speed constant
were calculated based on the experiment results, and the
theoretical values were obtained by fitting the origin 2023b
software. Based on the fitting variance, the fitting effect and
select the flotation dynamics model was judged. The parti-
cle-bubble visual observation used a self-assembled coating
angle testing device. 2g of mineral sample was placed in
a glass tank containing 100 ml of flotation water (deion-
ized or micro-nano bubble water). A magnetic stirrer was
utilized for a 2-minute stirring, which was followed by the
addition of flotation reagents in the single-mineral flotation
system, then each time stirred for 3 min respectively. After
the solution is clear, use a micro syringe to blow out bubbles
with a diameter of 1 mm, stir again for 100 s, then turn off
the stirring and let the solution stand. Take pictures after
the solution is clear, and use Image Pro Plus 6.0 software to
measure the wrapping angle. Each set of experiments was
tested three times, and the average value was taken.
RESULTS AND DISCUSSION
Flotation Experiments
To verify the impact of introducing micro-nano bubbles on
the flotation recovery effect of hematite and chlorite. A con-
trol experiment was conducted in which the flotation water
was deionized water and water containing micro-nano
bubbles. First, as shown in Figure 3, the effects of collector,
depressant, activator dosage, and pulp pH on mineral flota-
tion behavior were examined when using deionized water.
As the dosage of α-BLA increasing, the recovery of chlorite
initially increased and then stabilized. However, the recov-
ery decreased with the increase of depressant. This is due to
iron active sites on the chlorite surface that can interact with
the hydroxyl groups in starch (Filippov et al., 2013 Zhao et
al., 2023). During this experiment process, hematite main-
tained a stable low recovery. It is determined that without
micro-nano bubbles, the flotation difference between the
two minerals is the largest when the pH is 11, the α-BLA
dosage is 200 mg/L, the starch dosage is 10 mg/L, and the
Ca2+ concentration is 150 mg/L.
After introducing micro-nano bubbles into the flota-
tion water, it can be found from Figure 4 (a) that the impact
50 100 150 200 250
0
20
40
60
80
100
Chlorite
Hematite
(a)
10 20 30 40 50
0
20
40
60
80
100
Starch dosage (mg/L)
Chlorite
Hematite
(b)
25 50 75 100 125 150 175 200
0
20
40
60
80
100
Ca2+ concentration (mg/L)
Chlorite
Hematite
(c)
4 6 8 10
0
20
40
60
80
100
pH
Chlorite
Hematite
(d)
Figure 3. Effects of different experiment conditions on hematite and chlorite flotation (without micro-
nano bubbles)
Recovery
(%)
Recovery
(%)
Recovery
(%)
Recovery
(%)