gonzalo montes atenas 1
TRANSCRIPT
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Applying the Splitting Technique to
determine floatability components
of an ore sample
Javier Sierra-Villalobos, Gonzalo Montes-AtenasDepartamento de Ingeniera de Minas
Facultad de Ciencias Fsicas y Matemticas
Universidad de Chile
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Introduction
Flotation kinetics
Splitting technique
Overall assay data
Mineral liberationRe-floating tests
Floatability components
(Gu, 2003)
(Garca-Zuiga, 1935; Sutherland, 1948, Loveday, 1966; Harris & Chakravarti, 1970; Finch & Dobby, 1990; Trahar,
1981; Fichera & Chudacek, 1992; King, 2001)
(Nicol et al., 1983; Deighton,
2001; Varadi, 2007)
How much, What and Where is recovered?
models based on
computed from
Release analysis(Dell, 1953)
based on
determining
Slipitting up a sample
using
(King & Schneider, 2000)
MLA
data reconciliation
determining the
state of releaseVariables
affecting
flotation
kinetics
keeping
constant
(Dell, 1953; Runge, 1997 & 2007;Franzidis et al. , 1999)Kinetics models
compared to
mass balance
applying
(Imaizumi & Inoue, 1963;
Kelsall, 1961; kelly & Carlson,
1991)
(Franzidis et al. , 1999)(De Bruyn & Modi, 1956; Harris &
Cuadros-Paz, 1978; Chander &
Polat, 1995)
(Cutting et al, 1981;
Sutherland, 1977)
to determine
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Laboratory Methodology
Tail
Feed
Con 1
Con 2
Con 3
Con 4
FFTail
SFTail
P80=213 m
P80=189 m
P80=255 m
P80=207 m
P80=271 m
R
P80=151 m
Con 1
Con 2
Con 3
Con 4
Con 5
FFCon
P80=272 m
P80=209 m
Con 1
Con 2
Con 3
Con 4
Con 5
SFCon1
SFCon2
R
R
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BATCH FLOTATION KINETICSRESULTS
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Chalcopyrite and pyrite the major
sulphide minerals in the ore
High collector dosage promoting the
flotation of all mineral particles having
the appropriate liberation of
chalcopyrite and pyrite (Dell , 1953).
Kinetics and mineralogy analyses
0
20
40
60
80
0 20 40 60 80
PyRecovery(%)
Cpy Recovery (%)
0 g/t
40 g/t
80 g/t
160 g/t
+ MLA
results
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Results 1. FSM Model
= 1 1 +1
F-S Model First flotation Con1 Con3
ks (min-1) 0.3516 0.2660
kf (min-1) 2.1221 0.0657 3.0998
ms (wt.%) 0.0248 0.4843
mf (wt.%) 0.0376 0.5000 0.2499
Pearson coefficient, R2 0.9999 0.9920 0.9999
Fast-slow model (FSM) considering mass recovery as sulphides recovery
0
20
40
60
80
0 3 6 9
Cumulativerecovery(%)
Time (min)
0
20
40
60
80
0 3 6 9
Cumulativerecovery(%)
Time (min)
0
2
4
6
8
0 3 6 9
Cumulativerecovery(%)
Time (min)
First flotatiom Con 1 Con 3
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y = -0.0274x + 0.5427
y = -0.1452x + 0.2771
y = -0.4359x + 0.18020.02
0.05
0.14
0.37
1.00
0 2 4 6 8 10
1-R
m,s
(%)
Time (min)
Results 2. Imaizumi & Inoues gr. Model
For Con 3,
Mass of slow floating components
ms=(1-M1)*(1-(1-M2))=0.1267
Mass of intermediate floating component
mi=(1-M1)*(1-M2)*(1-(1-M3))=0.0596
Mass of fast floating component
mf=(1-M1)*(1-M2)*(1-M3)=0.2710
(*) data obtained using linear
regression.
Imaizumi and Inoue First flotation Con 1 Con 3
k1 (min-1) 0.0014 0.0478 (*) 0.0274
k2 (min-1) 0.0236 0.1452k3 (min
-1) 0.4359
M1 0.9495 0.9710(*) 0.5427
M2 0.0347 0.2771
M3 0.1802
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Results 3.Characterisation of flotation
products/concentrates
0
20
40
60
80
100
1 10 100 1000
Cpy-Pyr
ecovery(%)
Size (m)
Con1 FFCon
0
20
40
60
80
100
1 10 100 1000
Cpy-Pyrecovery(%)
Size (m)
Con3 SFCon1 SFCon2
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Conclusions
The ST was successfully applied to the Ernest Henry ore.
However, the number of repetitions and the difficulties to keep
the surface properties make the technique sensitive to the
operational procedure.
The floatability components were best described using
Imaizumi and Inoue s graphical method as it differentiates
clearly the components. FSM represents the overall results
accurately, however the floatability components depend onthe number of constant previously established.
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Conclusions
Size and liberation studies of the floatability components
showed dissimilar trends when comparing the concentrates of
the first flotation test and reflotation tests. These results are
not in agreement with the study published by Dell in 1953.
The fast floating materials consisted of fully liberated
intermediate and coarse particles. The slow floating materialsconsisted of coarse particles exhibiting low liberation and low
densities as well as of highly liberated fine particles.
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Acknowledgements
JKMRC for the financial support of this study
JKMRC Students: Ana Mara Rojo and Erico Tabosa
PhD. Marco Vera
Universidad de Concepcin
Universidad de Chile