SlideShare a Scribd company logo
1 of 8
Download to read offline

Abstract— This study investigates the removal of silica, alumina and
phosphorus as impurities from Sanje iron ore using wet high-intensity
magnetic separation (WHIMS). Sanje iron ore contains low-grade
hematite ore found in Nampundwe area of Zambia from which Iron is
to be used as the feed in the steelmaking process. The chemical
composition analysis using X-ray Florence spectrometer showed that
Sanje low-grade ore contains 48.90 mass% of hematite (Fe2O3) with
34.18 mass% as Iron grade. The ore also contains silica and alumina
of 31.10 mass% and 7.65 mass% respectively. The mineralogical
analysis using X-ray diffraction spectrometer showed hematite and
silica as the major mineral components of the ore while magnetite and
aluminates were indicated by fewer mineral phases. Mineral particle
distribution analysis was done using scanning electron microscope
with an X-ray energy dispersion spectrometry (SEM-EDS) and images
showed that the average mineral size distribution of alumina-silicate
gauge is in order of 100 μm and exists as iron-bearing interlocked
particles. Magnetic Separation was done using series L model 4
Magnetic Separator. The effect of various magnetic separation
parameters such as magnetic flux density, particle size, and pulp
density of the feed was studied during magnetic separation
experiments. The ore with average particle size of 25 µm and pulp
density of 2.5% was concentrated using pulp flow of 7 L/min. The
results showed that 10 T was optimal magnetic flux density which
enhanced the recovery of 93.08% of iron with 53.22 mass% grade. The
gauge mineral particles containing 12 mass% Silica and 3.94 mass%
Alumna remained in the concentrate, therefore the concentrate was
further treated in the second stage wet high-intensity magnetic
separation using the same parameters as from the first stage. The
second stage process recovered 83.41% of iron with 67.07 mass%
grade. Silica was reduced to 2.14 mass% and alumina to 1.30 mass%
with phosphorus just a percentage fraction of 0.02 mass% remaining
in the concentrate. Therefore, the two stage magnetic separation
process was established using these results.
Keywords— Sanje iron ore, Magnetic separation, Silica,
Alumina, Recovery
I. INTRODUCTION
he increase in demand for iron ore mainly for its use in
steelmaking industries has led to the alternative extraction
of iron from low-grade ores [1]. The low-grade Iron ores
usually contain more silica and alumina as gauge mineral
assemblages with phosphorus and oxides of calcium and
magnesium existing in small quantities [2]. Removal of silica
and alumina from low-grade iron ores is considerably difficult
due to the aggregation of fine silica-alumina particulates with
Moses C. Siame is at Akita University in the Graduate School of
International Resource Science, 1-1 Gakuen-cho, Tegata Akita-shi 010-8502,
Japan. (email: mosescharlessiame@gmail.com)
Kazutoshi Haga is the associate professor at Akita University in the
Graduate School of Engineering and Resource Science, 1-1 Gakuen-cho,
Tegata Akita-shi 010-8502, Japan. (email:khaga@gipc.akita-u.ac.jp)
iron oxide particles. Magnetic separation technique has
therefore been known as one of the most effective iron
extraction processes which are commonly used in the treatment
of low-grade ore containing more and aggregated impurities [3].
Magnetic separation of iron ores is based on the principle of
applying magnetic field intensity to the equipment that utilises
the difference of magnetic properties of the Iron particles and
gauge mineral particles which are non-magnetic. The relative
magnitude of the magnetic field intensity applied to the
equipment, accordingly, categorises the type of magnetic
separation technique used which is either high, medium or low.
Furthermore, the magnetic separation process is considered
either wet or dry based on the type of the ore to be treated. [4].
Dry Magnetic separation is usually done under medium
magnetic intensity to treat highly paramagnetic iron ores
containing minerals of chromite, ilmenite or garnet [5]. In other
cases, dry magnetic separation using high magnetic intensity is
considered when recovering iron from weakly permanent
mineral particles although it usually exhibits lower production
capacity as compared to dry low-intensity magnetic separation
[6-7]. Wet low-intensity magnetic separation technique is
favourable for recovery of iron-containing ferromagnetic
particles whilst wet high-intensity magnetic separation is ideal
for low-grade ores characterised by weak magnetic mineral
particles [5].
Wet high-intensity magnetic separation (WHIMS) depends on
the magnetic properties of the ore particles such as magnetic
susceptibility, particle size density and particle velocity in the
fluids. The applied magnetic field intensity which creates
magnetic field gradient in the equipment enhances magnetic
force (Fm) as shown in equation 1, to act on the ore particulates
to be separated.
Fm =
k
μ0
VB∆B (1) [8]
Where 𝜇0 is the magnetic permeability, k the volumetric
susceptibility, V the volume of the particle, B the external
magnetic induction and ∆𝐵 is the created magnetic field
gradient. Magnetic separation of iron particles in slurry during
wet high-intensity magnetic technique is also affected by the
gravitation force (Fg) and hydrodynamic forces (Fd).
Atsushi Shibayama is the professor at Akita University in the Graduate
School of Engineering and Resource Science, 1-1 Gakuen-cho, Tegata Akita-
shi 010-8502, Japan. (email: shibayama@gipc.akita-u.ac.jp)
Treatment of Low-Grade Iron Ore using Two
Stage Wet High-Intensity Magnetic Separation
Technique
Moses C. Siame, Kazutoshi Haga, Atsushi Shibayama
T
Fg = ρVg (2)
Fd = 3πηd(up − u0) (3) [7]
Where ρ is the density of the particle, V the volume of the
particle, g the acceleration due to gravity, up is the particle
velocity, u0 the fluid velocity and η is the fluid viscosity.
Separation efficiency is achieved by selection of best magnetic
separation parameters of the machine used such and conditions
such as particle size, pulp density, the magnetic density of the
machine, pulp flow of the feed and the type of equipment to be
used [8-9].
This research study investigates Wet High-intensity magnetic
separation (WHIMS) by considering the effect of various
magnetic separation parameters such as magnetic flux density,
particle size and pulp density required to produce a high-grade
iron concentrate with minimal impurities.
II. EXPERIMENTAL PROCEDURES
A. Sample Preparation
Sanje ore rock samples from Nampundwe areas of Zambia
were used in this study. The rock samples were crushed to less
than 2mm using P-1 Jaw crusher (Fritsch Co, Ltd) and milled
to less than 200μm using P-13 disc mill (Fritsch Co, Ltd). The
milled samples were then analyzed for Chemical composition
using X-ray fluoresce spectrometer (XRF, ZSX Primus II
Rigaku) and results tabulated as shown in Table 1. The sample
was then milled to less than 200µm and screened using four (4)
JIS Z 8801 Sieves (IIDA Manufacturing Co, Ltd) with an
aperture size of 180μm, 150μm, 106μm, 63μm and 32μm
mounted on the AS200 sieve shaker (Retsch Japan Co., Ltd).
Sample particles from each sieve were then analyzed using the
XRF spectrometer and mineral liberation analysis done as
shown in figure 7. Mineralogical composition of the ore was
done using RINT Rigaku X-ray diffractometer and mineral
phases identified as shown in figure 5. Microscopic analysis of
the ore was also done using Hitachi SU-70 Scanning Electron
microscopy with energy dispersion spectroscopy (SEM-EDS)
and images retrieved as shown in figure 6.
B.Procedure for magnetic Separation of Sanje Ore
All magnetic separation experiments were done using the
Series L Model 4 (L-4 Machine) laboratory magnetic Separator
(Eriez Manufacturing Co.) as shown in figure 1. The machine
uses wet high-intensity magnetic separation technique to
separate magnetic particles from non-magnetic particles.
Fig. 1: Series L Model 4 WHI Magnetic separator
The L-4 Machine mainly uses compacted iron matrix mesh or
pipe matrix, as shown in figure 4 and 5 respectively, in the
collecting box as the collecting media for magnetic minerals
whilst nonmagnetic particles are collected in the vessel placed
at the bottom of the machine. The relationship between applied
current and the magnetic field density produced by the machine
is described in figure 2, which indicates that magnetic field
density is directly proportional to the sum of current and field
density as shown in equation 5;
B ≈ I + µ0H (4)
Where B is magnetic density, I the current applied to the
machine, H magnetic field and µ0 the magnetic permeability.
Fig. 2 Relationship between Current and Magnetic field density of the
L-4 machine
0
2000
4000
6000
8000
10000
12000
0 10 20 30
MagneticDensityB,(mT)
Current I, (A)
B ≈ I + µ0H
Funnel
Fixed
Stand
Collecting
bucket
Collecting Box
Magnetic Coil
C. Procedure for magnetic Separation of Sanje Ore
The first stage of the experiments was to determine the
optimum magnetic flux density that would correspond to high
iron recovery and higher impurity removal. The voltage of the
machine was adjusted and current flow to the machine
increased with increase in magnetic field Intensity as shown in
figure 2. The slurry of 2% pulp density containing 25g sample
with average particle size of 25μm was treated using for
magnetic field Intensity of 3 T, 5 T, 7.5 T and 10 T. The slurry
was fed into the machine funnel and allowed to flow at a fixed
rate of 7 L/min throughout the experiments. Non-magnetic
particles were first collected as tailings and then the magnetic
particles as a concentrate. Both the concentrate and tailings
were dried, weighed and analyzed for chemical and
mineralogical composition using XRF and XRD respectively.
The iron recovery was then calculated using equation 4 and
optimum magnetic flux density obtained.
% Fe =
CFe × Wtc
(CFe×Wtc+TFe×WtT)
× 100 (5)
Where CFe is the percentage by weight of Iron in the
concentrate, Wtc the wright of the concentrate, TFe and
percentage by weight of Iron in the tailings whilst WtT is the
weight of the tailings.
D.Effect of pulp density on magnetic separation efficiency
The pulp density of the slurry was adjusted to 2.5%, 5 %,
7.5 % and 10 % using optimum magnetic flux density
obtained from the first stage of the experiment. The most
suitable pulp density was preferred based on the highest
iron recovery and impurity removal.
E.The effect of particle size density in slurry on Iron
recovery
The slurries containing different particle size fractions were
prepared and treated at suitable pulp density and optimum flux
density. The Iron recovery and grade by mass of iron in the
obtained concentrate was calculated based on respective
particle fraction of the feed.
F.The efficacy of Magnetic collectors on Iron recovery
After obtaining the optimum Magnetic flux density and the
suitable pulp density, the efficacy of the collecting equipment
was investigated using the wire mesh shown in figure 3 and the
pipe matrix in figure 4.
Fig. 3 Wire Mesh collector
Fig. 4 Pipe matrix Collector
G. Two stage magnetic separation
The concentrate from the first stage magnetic separation was
fed to the L-4 Machine using the same optimum conditions as
from the first stage i.e. magnetic flux density, pulp density and
the suitable collecting matrix while pulp flow was kept constant
at 7 L/m.
III. RESULTS AND DISCUSSION
A.Chemical and Mineralogical Analysis
The chemical composition analysis using X-ray Florence
spectrometer showed that Sanje ore contains 48.90 %mass of
hematite (Fe2O3) with 34.18 %mass Iron grade. As shown in
table 1, the ore also contains silica and alumina of 31.10 %mass
and 7.65 %mass respectively.
TABLE I
CHEMICAL COMPOSITION OF SANJE IRON ORE
% 𝐅𝐞 𝟐 𝐎 𝟑 % Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % MgO
48.90 34.18 7.65 31.10 0.05 1.33
The mineralogical analysis results in figure 7 show that
the major mineral components of the ore are hematite and
quartz indicated by the major mineral phases while
magnetite and aluminates are the minor minerals as
shown by fewer mineral phases. This confirms the
prominence of hematite in the Sanje Iron ore.
Fig. 5 XRD patterns for Sanje Iron ore
The mineral particle distribution analysis done using
Electron Microscope-Energy Dispersion Spectrometry
(SEM-EDS) shows that Iron mineral particles in the ore
Intensity,(count/s)
2θ, (0)
D=6mm
15cm
Fe2O3
SiO2
Fe3O4
Reticulation
7mm X 14 mm
Thickness
1 mm
Abacus eyes Crease
exists as free particles as well as aggregated with silica
mineral particles.
Fig.6 SEM-EDS Pictures of Sanje ore
The picture in figure 6 also indicates that the average size
distribution of alumina-silicate gauge in order of 100μm and it
exists mainly as iron-bearing interlocked particles.
B. Mineral liberation and particle size distribution
Figure 7: Mineral Liberation graph
Screening the ore that was crushed and ground to less than
2 mm and 200 µm respectively showed that only 30.8%
of the ore retained the particle size of not less than 180
µm. The grade of iron and liberation of silica shows a
relatively increasing trend with a decrease in particle size
until optimal liberation at particle fraction of
>45μm<75µm. Alumina and phosphorous shows
decrease in liberation with a decrease in particle size
which indicates that alumina-phosphorous gauge
minerals are locked up more in coarse particles and
further milling of the ore to less than 32μm would allow
further liberation. Further milling was, therefore,
necessary to avoid coarser particles containing hematite-
gauge aggregation to cause poor recovery efficiencies in
magnetic separation [10].
C. Effect of Magnetic density on Iron Recovery
Iron recovery and grade increased with increase in
magnetic field density from 3000 mT to 10000 mT. As
shown in figure 11, the magnetic field density of 5000 mT
was necessary to recover 87% of Iron with Iron grade of
41.68 %mass.
TABLE II
COMPOSITION OF CONCENTRATE FROM MAGNETIC SEPARATION
AT VARIED MAGNETIC DENSITY
Further increase of magnetic density to 10000 mT showed a
slightly higher Iron grade of 49.93 mass% with an optimal
recovery of 89%. Alumina and silica were also reduced to
5.81% and 18.08% respectively at 1000 mT.
These experimental results confirm with literature that
magnetic field strengths with different magnitudes affect the
separation process of magnetic particles differently. The results
also indicate that increase in magnetic field density increases
the recovery of Iron and ejection of alumina-silica gauge
minerals. [11-12].
Fig.8 Effect of Magnetic flux density on Iron recovery and Silica-
Alumina removal
As shown in Figure 8, Silica was reduced to 18.79 mass% at
10000 mT as compared to 19.98 mass% at 3000 mT. However,
this was not a case for Alumina which was reduced to 3.98
mass% at a lower magnetic flux density of 3000 mT and to 5.81
mass% at a higher magnetic flux density of 10000 mT.
D. Effect of feed pulp density on silica-Alumina removal
Table III shows the results of the effect of pulp density on
0.00
0.06
0.12
0.18
0
10
20
30
40
<32 >32<45 >45<75 >75<106 >106
Phosphates,%mass
Liberation,%mass
Particle Size, μm
Fe SiO2 Al2O3 P2O5
43.78 46.93
87
93
0
20
40
60
80
100
3000 5000 7500 10000
%mass
Magnetic density, mT
% Fe % Al2O3
% SiO2 %Fe Recovery
Magnetic
Density, mT
% Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % Fe
Recovery
3000 39.26 3.98 19.78 0.04 76
5000 41.68 4.64 20.73 0.05 87
7500 43.78 5.81 18.08 0.04 89
10000 46.93 5.15 18.79 0.03 93
100µm
% 𝐒𝐢𝐎 𝟐
𝐅𝐞 𝐱 𝐎 𝐲
𝐅𝐞 𝐱 𝐎 𝐲
% 𝐒𝐢𝐎 𝟐
𝐀𝐥 𝟐 𝐎 𝟑
Silica-Alumina removal and Iron recovery. The recovery of
Iron increased from 89% at a pulp density of 2% to 96% at
2.5%. As shown in figure 9, a further increase in pulp density
shows a decreasing trend in iron recovery and silica-alumina
gauge removal. The optimum pulp density was obtained at 2.5
% at which 89% of Iron was recovered with the grade of 49.72
mass% having 4.19 mass% Alumina and 18.08 mass% silica.
TABLE III
COMPOSITION OF CONCENTRATE FROM MAGNETIC SEPARATION
AT VARIED PULP DENSITY
Pulp
Density, %
% Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % Fe
Recovery
2.00 46.93 5.15 18.79 0.03 93
2.50 49.72 4.19 18.08 0.03 89
5.00 43.70 5.81 20.02 0.02 90
7.50 42.01 5.62 18.80 0.04 87
10.00 40.26 6.26 21.70 0.04 88
Fig.9 Effect of feed pulp densities on Iron recovery and Silica-
Alumina removal.
This can be explained that 2.5% was the solid-liquid ratio at
which the magnetic forces dominated over the liquid drag force
hence the effect of applied magnetic field strength had a direct.
This entails that the magnetic attraction on iron mineral
particles was stronger than both drag force and gravitational
force [13]. Alternatively, higher pulp density more than 2.5%
caused clogging in the collecting box and hence lower Iron
recovery.
Fig.10 XRD Mineral phase diagrams for Concentrate from magnetic
separation
Fig.11 SEM-EDS Pictures for concentrate from 10 T magnetic
separation.
The concentrate produced at optimum magnetic field
density of 10 T indicates that more hematite is prominent in
concentrate produced with greater magnetic field density of
7000 mT and 10000 mT than when less magnetic density was
used as indicated in 3000 mT and 5000 mT. As shown from the
SEM-EDS pictures in figure 11, the concentrate produced also
shows disaggregated silica particulates which indicate that
second stage magnetic separation would effectively remove the
remaining free silica particles.
46.93 49.72
18.08 20.02
93
90
0
20
40
60
80
100
2 2.5 5 7.5 10
%mass
Pulp density, %
% Fe %Al2O3
%SiO2 %Fe Recovery
20 30 40 50 60 70 80
Intensity
2θ
Conc. 3000 mT
Conc. 5000 mT
Conc. 7500 mT
Conc. 10000 mT
20µm
𝐅𝐞 𝐱 𝐎 𝐲
% 𝐒𝐢𝐎 𝟐
Fe2O3
SiO2
Fe3O4
E. Effect of Particle size density on Iron recovery
Fig.12 Effect of particles size fractions in slurry on iron recovery
A slurry containing finer particles size of fewer than 38
micrometres showed a higher iron grade and enhanced the
reduction of silica and alumina than the slurries with coarser
particles. On the contrary, higher iron recovery of up to 90%
was obtained from slurries with coarser particles of between 45
micrometres to 75 micrometres but contained more silica and
alumina impurities. The results suggest that it was suitable to
remove more impurities when the slurry having a particle size
of fewer than 32 micrometres was treated.
F.Effect of Equipment selection on Silica and Alumina
removal
In order to determine the suitable collecting equipment that
would be used for effective separation of iron particles from
gauge minerals, the efficacy of the wire mesh and the pipe
matrix was investigated. Table 4 shows that 89% of Iron was
recovered using the wire mesh and 93% for the Pipe matrix. The
Iron grade also shows the higher content of 53.22 mass% when
the pipe was used as compared to the wire mesh.
TABLE IV
EFFECT OF EQUIPMENT SELECTION ON SILICA AND ALUMINA
REMOVAL
Equipment % Fe % 𝐒𝐢𝐎 𝟐 % 𝐀𝐥 𝟐 𝐎 𝟑 %
Yield
% Fe
Recovery
Wire 49.7 18.08 4.19 77.22 89
Pipe 53.22 12.01 3.94 72.32 93
The lower yield of 72.32% was obtained when the pipe was
used as compared to 77.22% for the wire mesh but the pipe
produced a higher grade of 53.22 %mass with less silica and
alumina contents of 12.01 %mass and 3.94 % mass
respectively. This can be explained that in the pipe more
magnetic field gradient was created and the capturing of
magnetic particles was more effective than on abacus and
crease planes for the wire mesh [14]. The magnetic field
gradient in the pipe matrix also dominated over the liquid drag
force caused by the rate of pulp flow [15].
G.Efficacy of two stage process on Silica and Alumina
removal
Fig.13 Efficacy of two stage process on Silica and Alumina removal
As shown in figure 13, most of the silica was reduced from
12.01 %mass to just 2.14 % mass. The iron grade was improved
drastically from 53.22 %mass in the first stage magnetic
separation to 67.07 %mass.
IV. CONCLUSION
To establish the best mineral processing techniques for
effective removal of impurities from Sanje Iron ore, this
research concludes that;
1. Sanje Iron ore is a low-grade hematite ore which contains
Iron-silica aggregates and their liberation requires adequate
milling to fine particle fraction of less than 32µm.
2. Effective removal of impurities from Sanje ore using Wet
High-Intensity magnetic separation requires lower feed
pulp density of 2.5% and higher magnetic field intensity of
10 T. However, higher Iron grade with minimum
impurities is not attained by single Magnetic separation
process with just up to 53.22 %mass Iron grade attained
with 12.01 %mass silica and 3.94 %mass of alumina.
Phosphorous is also observed to be removed with only 0.03
%mass remaining in the concentrate.
3. The two-stage magnetic separation was done to obtain the
required Iron grade. As shown in figure 13, 83.41%
recovery was necessary to obtain 67.07 %mass of Iron
grade with just 1.30 %mass of Alumina and 2.14 %mass of
silica. Phosphorous was consequently reduced to 0.01%.
The proposed impurity removal process also indicates that
only 9.82% of iron with 16.01 %mass grade can be lost to
the tailings in the first stage and just 9.67% during the
second stage
0
20
40
60
80
100
>75um<106um >45um<75um >38um<45um <38um
%mass
Particle Size density in Slurry
% Fe grade % Fe recovery
34.18
53.22
67.07
93.08
83.41
0
20
40
60
80
100
Feed First stage Second Stage
%mass Process stage
% Fe Grade % SiO2
% Al2O3 % Recovery
4. The two-stage impurity removal process flow is therefore
proposed to upgrade low grade using Wet High-intensity
magnetic separation technique as shown in figure 14.
Fig.14 Proposed impurity removal process flow Chart
REFERENCES
1. G. Prithviraj, G. D. Arnab, B. Chanchal, The effect of presence of SiO2,
Al2O3 and P2O5 on the Reduction Behavior of Fe2O3 Nuggets with Coke
Fines. Arab J. Sci Eng. 41, pp4743–4752, 2016.
2. J. Watson, Selectivity and mechanical retention in the magnetic separation
of polydisperse, mixed mineral particle systems. Miner. Eng. 7, pp 769-
791, 1994.
3. Y. Shao, T.J. Veasey, N.A Rowson, Wet high-intensity magnetic
separation of iron mineral. Magnetic and electrical separation, Vol. 8, pp
41-51, 1996.
4. S. Rachappa, Y. Prakash, Iron Ore Recovery from Low Grade by using
Advance Methods. Procedia Earth and Planetary Science, Vol. 11, 195-
197, 2015.
5. R. Subrata, Recovery Improvement of Fine Magnetic Particles by Floc
Magnetic Separation. Mineral Processing and Extractive Metallurgy
Review; An International Journal, 170-179, 2012
6. S. Rath. N.D. Dhawan, B. Das, B.K Mishira. Optimal Recovery of Iron
Values from a Low-Grade Iron Ore using Reduction Roasting and
Magnetic Separation. Separation Science and Technology. Volume 49,
Issue 12, 1927-1936, 2014.
7. A. Arol, A. Aydogan, Recovery enhancement of magnetite fines in
magnetic separation. Colloids Surface, Physico- chemistry Engineering
Aspects, vol. 232, 151-154, 2004
8. R. Subrata, Recovery improvement of fine magnetic particles by floc
magnetic separation. Mineral processing & Extractive metall.
Rev.,33:170-179, 2012.
9. S. Mohanty, B. Das, B. K Mishra, Preliminary Investigation into
Magnetic Separation Process Using CFD. Minerals Engineering, 24,
1651-1657, 2011.
10. J. Svoboda, The effect of magnetic field strength on the efficiency of
magnetic separation. Mineral Engineering, vol. 7, 747-757, 1994.
11. S. Song, S. Lu, A. Lopez-Valdivieso, Magnetic separation of hematite
and limonite fines as hydrophobic flocs from iron ores. Mineral
Engineering, vol.15, pp. 415-422, 2002.
12. A. S. Seifenassr, E.M. Moslim, A. M. Abouzeid, Effective processing of
low grade iron ore through gravity and magnetic separation techniques.
Physicochem. Probl. Miner. Process. 48(2), 567-578, 2012.
13. L. Chen, J. Zeng, C. Guan, H. Zhang, R. Yang, High gradient magnetic
separation in centrifugal field. Minerals Engineering, Volume 78, 2015
14. X. Zheng, Y. Wang, D. Lu, Study on buildup of fine weakly magnetic
minerals on matrices in high gradient magnetic separation. Pysicochem.
Probl. Miner. Process. 53 (1), 94-109, 2016.
15. J. Svoboda, T. Fujita, Recent developments in methods of material
separation. Mineral engineering 16, 785-792, 2003.

More Related Content

What's hot

Magnetic Seperation
Magnetic Seperation Magnetic Seperation
Magnetic Seperation
Sujith Athri
 
3 d surface finishing using magnetorheological finishing
3 d surface finishing using magnetorheological finishing3 d surface finishing using magnetorheological finishing
3 d surface finishing using magnetorheological finishing
Pankaj Kumar Singh
 
Bg32788792
Bg32788792Bg32788792
Bg32788792
IJMER
 
2. 2009 oxid 20 cr pm 800 900c 100hr
2. 2009 oxid 20 cr pm 800 900c 100hr2. 2009 oxid 20 cr pm 800 900c 100hr
2. 2009 oxid 20 cr pm 800 900c 100hr
LamiaaZaky1
 
YHe-MT525
YHe-MT525YHe-MT525
YHe-MT525
Yang He
 
Paper id 21201477
Paper id 21201477Paper id 21201477
Paper id 21201477
IJRAT
 

What's hot (20)

Magnetic Seperation
Magnetic Seperation Magnetic Seperation
Magnetic Seperation
 
Magnetic separation
Magnetic separationMagnetic separation
Magnetic separation
 
Introduction of magnetic separator 20111116-yydls
Introduction of magnetic separator 20111116-yydlsIntroduction of magnetic separator 20111116-yydls
Introduction of magnetic separator 20111116-yydls
 
3 d surface finishing using magnetorheological finishing
3 d surface finishing using magnetorheological finishing3 d surface finishing using magnetorheological finishing
3 d surface finishing using magnetorheological finishing
 
Structural analysis of the magnetic poles of the 20 MeV Injector Microtron.
Structural analysis of the magnetic poles of the 20 MeV Injector Microtron.Structural analysis of the magnetic poles of the 20 MeV Injector Microtron.
Structural analysis of the magnetic poles of the 20 MeV Injector Microtron.
 
Structural Analysis Of Alfa Fibers After Chemical Treatment
Structural Analysis Of Alfa Fibers After Chemical TreatmentStructural Analysis Of Alfa Fibers After Chemical Treatment
Structural Analysis Of Alfa Fibers After Chemical Treatment
 
Synthesis and structural characterization of Al-CNT metal matrix composite us...
Synthesis and structural characterization of Al-CNT metal matrix composite us...Synthesis and structural characterization of Al-CNT metal matrix composite us...
Synthesis and structural characterization of Al-CNT metal matrix composite us...
 
Bg32788792
Bg32788792Bg32788792
Bg32788792
 
Numerical Analysis of Magnetic Compounds used to Make Induction Planar Actuat...
Numerical Analysis of Magnetic Compounds used to Make Induction Planar Actuat...Numerical Analysis of Magnetic Compounds used to Make Induction Planar Actuat...
Numerical Analysis of Magnetic Compounds used to Make Induction Planar Actuat...
 
UCM MCQ
UCM MCQUCM MCQ
UCM MCQ
 
Guided Wave EMAT Technique for Composite Plate Inspection
Guided Wave EMAT Technique for Composite Plate InspectionGuided Wave EMAT Technique for Composite Plate Inspection
Guided Wave EMAT Technique for Composite Plate Inspection
 
Electrochemical Machining
Electrochemical MachiningElectrochemical Machining
Electrochemical Machining
 
2. 2009 oxid 20 cr pm 800 900c 100hr
2. 2009 oxid 20 cr pm 800 900c 100hr2. 2009 oxid 20 cr pm 800 900c 100hr
2. 2009 oxid 20 cr pm 800 900c 100hr
 
Structural, Electrical and Magnetotransport properties of La0.7Ca0.2Sr0.1MnO3...
Structural, Electrical and Magnetotransport properties of La0.7Ca0.2Sr0.1MnO3...Structural, Electrical and Magnetotransport properties of La0.7Ca0.2Sr0.1MnO3...
Structural, Electrical and Magnetotransport properties of La0.7Ca0.2Sr0.1MnO3...
 
YHe-MT525
YHe-MT525YHe-MT525
YHe-MT525
 
Physical and Magnetic Properties of Manganese Ferrite Nanoparticles
Physical and Magnetic Properties of Manganese Ferrite NanoparticlesPhysical and Magnetic Properties of Manganese Ferrite Nanoparticles
Physical and Magnetic Properties of Manganese Ferrite Nanoparticles
 
Afm
AfmAfm
Afm
 
Investigation into machining characteristics of trialumane
Investigation into machining characteristics of trialumaneInvestigation into machining characteristics of trialumane
Investigation into machining characteristics of trialumane
 
Paper id 21201477
Paper id 21201477Paper id 21201477
Paper id 21201477
 
Ijciet 08 02_039
Ijciet 08 02_039Ijciet 08 02_039
Ijciet 08 02_039
 

Similar to Treatment of Low-Grade Iron Ore using Two Stage Wet High-Intensity Magnetic Separation Technique

Electromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferriteElectromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferrite
IAEME Publication
 
Electromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferriteElectromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferrite
IAEME Publication
 

Similar to Treatment of Low-Grade Iron Ore using Two Stage Wet High-Intensity Magnetic Separation Technique (20)

Magnetic Separation of Metallics from Ferrochrome Slag
Magnetic Separation of Metallics from Ferrochrome SlagMagnetic Separation of Metallics from Ferrochrome Slag
Magnetic Separation of Metallics from Ferrochrome Slag
 
Electromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferriteElectromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferrite
 
Electromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferriteElectromagnetic studies on nano sized magnesium ferrite
Electromagnetic studies on nano sized magnesium ferrite
 
ELECTRODEPOSITION OF SILVER NANOPARTICLES ON CARBON SPHERE SURFACES BY PULSE ...
ELECTRODEPOSITION OF SILVER NANOPARTICLES ON CARBON SPHERE SURFACES BY PULSE ...ELECTRODEPOSITION OF SILVER NANOPARTICLES ON CARBON SPHERE SURFACES BY PULSE ...
ELECTRODEPOSITION OF SILVER NANOPARTICLES ON CARBON SPHERE SURFACES BY PULSE ...
 
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
 
Microstructure and Mechanical Properties of Nano Alumina Particulate Reinforc...
Microstructure and Mechanical Properties of Nano Alumina Particulate Reinforc...Microstructure and Mechanical Properties of Nano Alumina Particulate Reinforc...
Microstructure and Mechanical Properties of Nano Alumina Particulate Reinforc...
 
Magnetic Separation.pptx
Magnetic Separation.pptxMagnetic Separation.pptx
Magnetic Separation.pptx
 
Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...
 
Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...
 
Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...Investigation of Optimized Process Parameters on Densification of Samarium Co...
Investigation of Optimized Process Parameters on Densification of Samarium Co...
 
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
INVESTIGATION OF OPTIMIZED PROCESS PARAMETERS ON DENSIFICATION OF SAMARIUM CO...
 
Synthesis & characterization of magnesium ferrites & exploring its microwave ...
Synthesis & characterization of magnesium ferrites & exploring its microwave ...Synthesis & characterization of magnesium ferrites & exploring its microwave ...
Synthesis & characterization of magnesium ferrites & exploring its microwave ...
 
Magnetic separation &it's different methods
Magnetic separation &it's different methodsMagnetic separation &it's different methods
Magnetic separation &it's different methods
 
Synthesis and characterization of structural and Magnetic Properties of ZnO d...
Synthesis and characterization of structural and Magnetic Properties of ZnO d...Synthesis and characterization of structural and Magnetic Properties of ZnO d...
Synthesis and characterization of structural and Magnetic Properties of ZnO d...
 
G.Sempros - NN16 poster
G.Sempros - NN16 posterG.Sempros - NN16 poster
G.Sempros - NN16 poster
 
Raman investigation of femtosecond laser-induced graphitic columns in single-...
Raman investigation of femtosecond laser-induced graphitic columns in single-...Raman investigation of femtosecond laser-induced graphitic columns in single-...
Raman investigation of femtosecond laser-induced graphitic columns in single-...
 
30120140505008
3012014050500830120140505008
30120140505008
 
AN APPROACH FOR ENERGY CONSERVATION ON PARTIALLY LATERISED KHONDALITE ROCKS U...
AN APPROACH FOR ENERGY CONSERVATION ON PARTIALLY LATERISED KHONDALITE ROCKS U...AN APPROACH FOR ENERGY CONSERVATION ON PARTIALLY LATERISED KHONDALITE ROCKS U...
AN APPROACH FOR ENERGY CONSERVATION ON PARTIALLY LATERISED KHONDALITE ROCKS U...
 
Selective Oxidation of Cyclohexene, Toluene and Ethyl Benzene Catalyzed by Bi...
Selective Oxidation of Cyclohexene, Toluene and Ethyl Benzene Catalyzed by Bi...Selective Oxidation of Cyclohexene, Toluene and Ethyl Benzene Catalyzed by Bi...
Selective Oxidation of Cyclohexene, Toluene and Ethyl Benzene Catalyzed by Bi...
 
Fabrication and Study of the Mechanical Properties of AA2024 Alloy Reinforced...
Fabrication and Study of the Mechanical Properties of AA2024 Alloy Reinforced...Fabrication and Study of the Mechanical Properties of AA2024 Alloy Reinforced...
Fabrication and Study of the Mechanical Properties of AA2024 Alloy Reinforced...
 

Recently uploaded

1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
AldoGarca30
 

Recently uploaded (20)

Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
 
Computer Graphics Introduction To Curves
Computer Graphics Introduction To CurvesComputer Graphics Introduction To Curves
Computer Graphics Introduction To Curves
 
Introduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdfIntroduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdf
 
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARHAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
 
Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257
 
Ground Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth ReinforcementGround Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth Reinforcement
 
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdf
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdf
 
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
 
Linux Systems Programming: Inter Process Communication (IPC) using Pipes
Linux Systems Programming: Inter Process Communication (IPC) using PipesLinux Systems Programming: Inter Process Communication (IPC) using Pipes
Linux Systems Programming: Inter Process Communication (IPC) using Pipes
 
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxHOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
 
Post office management system project ..pdf
Post office management system project ..pdfPost office management system project ..pdf
Post office management system project ..pdf
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
 
Employee leave management system project.
Employee leave management system project.Employee leave management system project.
Employee leave management system project.
 
Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 

Treatment of Low-Grade Iron Ore using Two Stage Wet High-Intensity Magnetic Separation Technique

  • 1.  Abstract— This study investigates the removal of silica, alumina and phosphorus as impurities from Sanje iron ore using wet high-intensity magnetic separation (WHIMS). Sanje iron ore contains low-grade hematite ore found in Nampundwe area of Zambia from which Iron is to be used as the feed in the steelmaking process. The chemical composition analysis using X-ray Florence spectrometer showed that Sanje low-grade ore contains 48.90 mass% of hematite (Fe2O3) with 34.18 mass% as Iron grade. The ore also contains silica and alumina of 31.10 mass% and 7.65 mass% respectively. The mineralogical analysis using X-ray diffraction spectrometer showed hematite and silica as the major mineral components of the ore while magnetite and aluminates were indicated by fewer mineral phases. Mineral particle distribution analysis was done using scanning electron microscope with an X-ray energy dispersion spectrometry (SEM-EDS) and images showed that the average mineral size distribution of alumina-silicate gauge is in order of 100 μm and exists as iron-bearing interlocked particles. Magnetic Separation was done using series L model 4 Magnetic Separator. The effect of various magnetic separation parameters such as magnetic flux density, particle size, and pulp density of the feed was studied during magnetic separation experiments. The ore with average particle size of 25 µm and pulp density of 2.5% was concentrated using pulp flow of 7 L/min. The results showed that 10 T was optimal magnetic flux density which enhanced the recovery of 93.08% of iron with 53.22 mass% grade. The gauge mineral particles containing 12 mass% Silica and 3.94 mass% Alumna remained in the concentrate, therefore the concentrate was further treated in the second stage wet high-intensity magnetic separation using the same parameters as from the first stage. The second stage process recovered 83.41% of iron with 67.07 mass% grade. Silica was reduced to 2.14 mass% and alumina to 1.30 mass% with phosphorus just a percentage fraction of 0.02 mass% remaining in the concentrate. Therefore, the two stage magnetic separation process was established using these results. Keywords— Sanje iron ore, Magnetic separation, Silica, Alumina, Recovery I. INTRODUCTION he increase in demand for iron ore mainly for its use in steelmaking industries has led to the alternative extraction of iron from low-grade ores [1]. The low-grade Iron ores usually contain more silica and alumina as gauge mineral assemblages with phosphorus and oxides of calcium and magnesium existing in small quantities [2]. Removal of silica and alumina from low-grade iron ores is considerably difficult due to the aggregation of fine silica-alumina particulates with Moses C. Siame is at Akita University in the Graduate School of International Resource Science, 1-1 Gakuen-cho, Tegata Akita-shi 010-8502, Japan. (email: mosescharlessiame@gmail.com) Kazutoshi Haga is the associate professor at Akita University in the Graduate School of Engineering and Resource Science, 1-1 Gakuen-cho, Tegata Akita-shi 010-8502, Japan. (email:khaga@gipc.akita-u.ac.jp) iron oxide particles. Magnetic separation technique has therefore been known as one of the most effective iron extraction processes which are commonly used in the treatment of low-grade ore containing more and aggregated impurities [3]. Magnetic separation of iron ores is based on the principle of applying magnetic field intensity to the equipment that utilises the difference of magnetic properties of the Iron particles and gauge mineral particles which are non-magnetic. The relative magnitude of the magnetic field intensity applied to the equipment, accordingly, categorises the type of magnetic separation technique used which is either high, medium or low. Furthermore, the magnetic separation process is considered either wet or dry based on the type of the ore to be treated. [4]. Dry Magnetic separation is usually done under medium magnetic intensity to treat highly paramagnetic iron ores containing minerals of chromite, ilmenite or garnet [5]. In other cases, dry magnetic separation using high magnetic intensity is considered when recovering iron from weakly permanent mineral particles although it usually exhibits lower production capacity as compared to dry low-intensity magnetic separation [6-7]. Wet low-intensity magnetic separation technique is favourable for recovery of iron-containing ferromagnetic particles whilst wet high-intensity magnetic separation is ideal for low-grade ores characterised by weak magnetic mineral particles [5]. Wet high-intensity magnetic separation (WHIMS) depends on the magnetic properties of the ore particles such as magnetic susceptibility, particle size density and particle velocity in the fluids. The applied magnetic field intensity which creates magnetic field gradient in the equipment enhances magnetic force (Fm) as shown in equation 1, to act on the ore particulates to be separated. Fm = k μ0 VB∆B (1) [8] Where 𝜇0 is the magnetic permeability, k the volumetric susceptibility, V the volume of the particle, B the external magnetic induction and ∆𝐵 is the created magnetic field gradient. Magnetic separation of iron particles in slurry during wet high-intensity magnetic technique is also affected by the gravitation force (Fg) and hydrodynamic forces (Fd). Atsushi Shibayama is the professor at Akita University in the Graduate School of Engineering and Resource Science, 1-1 Gakuen-cho, Tegata Akita- shi 010-8502, Japan. (email: shibayama@gipc.akita-u.ac.jp) Treatment of Low-Grade Iron Ore using Two Stage Wet High-Intensity Magnetic Separation Technique Moses C. Siame, Kazutoshi Haga, Atsushi Shibayama T
  • 2. Fg = ρVg (2) Fd = 3πηd(up − u0) (3) [7] Where ρ is the density of the particle, V the volume of the particle, g the acceleration due to gravity, up is the particle velocity, u0 the fluid velocity and η is the fluid viscosity. Separation efficiency is achieved by selection of best magnetic separation parameters of the machine used such and conditions such as particle size, pulp density, the magnetic density of the machine, pulp flow of the feed and the type of equipment to be used [8-9]. This research study investigates Wet High-intensity magnetic separation (WHIMS) by considering the effect of various magnetic separation parameters such as magnetic flux density, particle size and pulp density required to produce a high-grade iron concentrate with minimal impurities. II. EXPERIMENTAL PROCEDURES A. Sample Preparation Sanje ore rock samples from Nampundwe areas of Zambia were used in this study. The rock samples were crushed to less than 2mm using P-1 Jaw crusher (Fritsch Co, Ltd) and milled to less than 200μm using P-13 disc mill (Fritsch Co, Ltd). The milled samples were then analyzed for Chemical composition using X-ray fluoresce spectrometer (XRF, ZSX Primus II Rigaku) and results tabulated as shown in Table 1. The sample was then milled to less than 200µm and screened using four (4) JIS Z 8801 Sieves (IIDA Manufacturing Co, Ltd) with an aperture size of 180μm, 150μm, 106μm, 63μm and 32μm mounted on the AS200 sieve shaker (Retsch Japan Co., Ltd). Sample particles from each sieve were then analyzed using the XRF spectrometer and mineral liberation analysis done as shown in figure 7. Mineralogical composition of the ore was done using RINT Rigaku X-ray diffractometer and mineral phases identified as shown in figure 5. Microscopic analysis of the ore was also done using Hitachi SU-70 Scanning Electron microscopy with energy dispersion spectroscopy (SEM-EDS) and images retrieved as shown in figure 6. B.Procedure for magnetic Separation of Sanje Ore All magnetic separation experiments were done using the Series L Model 4 (L-4 Machine) laboratory magnetic Separator (Eriez Manufacturing Co.) as shown in figure 1. The machine uses wet high-intensity magnetic separation technique to separate magnetic particles from non-magnetic particles. Fig. 1: Series L Model 4 WHI Magnetic separator The L-4 Machine mainly uses compacted iron matrix mesh or pipe matrix, as shown in figure 4 and 5 respectively, in the collecting box as the collecting media for magnetic minerals whilst nonmagnetic particles are collected in the vessel placed at the bottom of the machine. The relationship between applied current and the magnetic field density produced by the machine is described in figure 2, which indicates that magnetic field density is directly proportional to the sum of current and field density as shown in equation 5; B ≈ I + µ0H (4) Where B is magnetic density, I the current applied to the machine, H magnetic field and µ0 the magnetic permeability. Fig. 2 Relationship between Current and Magnetic field density of the L-4 machine 0 2000 4000 6000 8000 10000 12000 0 10 20 30 MagneticDensityB,(mT) Current I, (A) B ≈ I + µ0H Funnel Fixed Stand Collecting bucket Collecting Box Magnetic Coil
  • 3. C. Procedure for magnetic Separation of Sanje Ore The first stage of the experiments was to determine the optimum magnetic flux density that would correspond to high iron recovery and higher impurity removal. The voltage of the machine was adjusted and current flow to the machine increased with increase in magnetic field Intensity as shown in figure 2. The slurry of 2% pulp density containing 25g sample with average particle size of 25μm was treated using for magnetic field Intensity of 3 T, 5 T, 7.5 T and 10 T. The slurry was fed into the machine funnel and allowed to flow at a fixed rate of 7 L/min throughout the experiments. Non-magnetic particles were first collected as tailings and then the magnetic particles as a concentrate. Both the concentrate and tailings were dried, weighed and analyzed for chemical and mineralogical composition using XRF and XRD respectively. The iron recovery was then calculated using equation 4 and optimum magnetic flux density obtained. % Fe = CFe × Wtc (CFe×Wtc+TFe×WtT) × 100 (5) Where CFe is the percentage by weight of Iron in the concentrate, Wtc the wright of the concentrate, TFe and percentage by weight of Iron in the tailings whilst WtT is the weight of the tailings. D.Effect of pulp density on magnetic separation efficiency The pulp density of the slurry was adjusted to 2.5%, 5 %, 7.5 % and 10 % using optimum magnetic flux density obtained from the first stage of the experiment. The most suitable pulp density was preferred based on the highest iron recovery and impurity removal. E.The effect of particle size density in slurry on Iron recovery The slurries containing different particle size fractions were prepared and treated at suitable pulp density and optimum flux density. The Iron recovery and grade by mass of iron in the obtained concentrate was calculated based on respective particle fraction of the feed. F.The efficacy of Magnetic collectors on Iron recovery After obtaining the optimum Magnetic flux density and the suitable pulp density, the efficacy of the collecting equipment was investigated using the wire mesh shown in figure 3 and the pipe matrix in figure 4. Fig. 3 Wire Mesh collector Fig. 4 Pipe matrix Collector G. Two stage magnetic separation The concentrate from the first stage magnetic separation was fed to the L-4 Machine using the same optimum conditions as from the first stage i.e. magnetic flux density, pulp density and the suitable collecting matrix while pulp flow was kept constant at 7 L/m. III. RESULTS AND DISCUSSION A.Chemical and Mineralogical Analysis The chemical composition analysis using X-ray Florence spectrometer showed that Sanje ore contains 48.90 %mass of hematite (Fe2O3) with 34.18 %mass Iron grade. As shown in table 1, the ore also contains silica and alumina of 31.10 %mass and 7.65 %mass respectively. TABLE I CHEMICAL COMPOSITION OF SANJE IRON ORE % 𝐅𝐞 𝟐 𝐎 𝟑 % Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % MgO 48.90 34.18 7.65 31.10 0.05 1.33 The mineralogical analysis results in figure 7 show that the major mineral components of the ore are hematite and quartz indicated by the major mineral phases while magnetite and aluminates are the minor minerals as shown by fewer mineral phases. This confirms the prominence of hematite in the Sanje Iron ore. Fig. 5 XRD patterns for Sanje Iron ore The mineral particle distribution analysis done using Electron Microscope-Energy Dispersion Spectrometry (SEM-EDS) shows that Iron mineral particles in the ore Intensity,(count/s) 2θ, (0) D=6mm 15cm Fe2O3 SiO2 Fe3O4 Reticulation 7mm X 14 mm Thickness 1 mm Abacus eyes Crease
  • 4. exists as free particles as well as aggregated with silica mineral particles. Fig.6 SEM-EDS Pictures of Sanje ore The picture in figure 6 also indicates that the average size distribution of alumina-silicate gauge in order of 100μm and it exists mainly as iron-bearing interlocked particles. B. Mineral liberation and particle size distribution Figure 7: Mineral Liberation graph Screening the ore that was crushed and ground to less than 2 mm and 200 µm respectively showed that only 30.8% of the ore retained the particle size of not less than 180 µm. The grade of iron and liberation of silica shows a relatively increasing trend with a decrease in particle size until optimal liberation at particle fraction of >45μm<75µm. Alumina and phosphorous shows decrease in liberation with a decrease in particle size which indicates that alumina-phosphorous gauge minerals are locked up more in coarse particles and further milling of the ore to less than 32μm would allow further liberation. Further milling was, therefore, necessary to avoid coarser particles containing hematite- gauge aggregation to cause poor recovery efficiencies in magnetic separation [10]. C. Effect of Magnetic density on Iron Recovery Iron recovery and grade increased with increase in magnetic field density from 3000 mT to 10000 mT. As shown in figure 11, the magnetic field density of 5000 mT was necessary to recover 87% of Iron with Iron grade of 41.68 %mass. TABLE II COMPOSITION OF CONCENTRATE FROM MAGNETIC SEPARATION AT VARIED MAGNETIC DENSITY Further increase of magnetic density to 10000 mT showed a slightly higher Iron grade of 49.93 mass% with an optimal recovery of 89%. Alumina and silica were also reduced to 5.81% and 18.08% respectively at 1000 mT. These experimental results confirm with literature that magnetic field strengths with different magnitudes affect the separation process of magnetic particles differently. The results also indicate that increase in magnetic field density increases the recovery of Iron and ejection of alumina-silica gauge minerals. [11-12]. Fig.8 Effect of Magnetic flux density on Iron recovery and Silica- Alumina removal As shown in Figure 8, Silica was reduced to 18.79 mass% at 10000 mT as compared to 19.98 mass% at 3000 mT. However, this was not a case for Alumina which was reduced to 3.98 mass% at a lower magnetic flux density of 3000 mT and to 5.81 mass% at a higher magnetic flux density of 10000 mT. D. Effect of feed pulp density on silica-Alumina removal Table III shows the results of the effect of pulp density on 0.00 0.06 0.12 0.18 0 10 20 30 40 <32 >32<45 >45<75 >75<106 >106 Phosphates,%mass Liberation,%mass Particle Size, μm Fe SiO2 Al2O3 P2O5 43.78 46.93 87 93 0 20 40 60 80 100 3000 5000 7500 10000 %mass Magnetic density, mT % Fe % Al2O3 % SiO2 %Fe Recovery Magnetic Density, mT % Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % Fe Recovery 3000 39.26 3.98 19.78 0.04 76 5000 41.68 4.64 20.73 0.05 87 7500 43.78 5.81 18.08 0.04 89 10000 46.93 5.15 18.79 0.03 93 100µm % 𝐒𝐢𝐎 𝟐 𝐅𝐞 𝐱 𝐎 𝐲 𝐅𝐞 𝐱 𝐎 𝐲 % 𝐒𝐢𝐎 𝟐 𝐀𝐥 𝟐 𝐎 𝟑
  • 5. Silica-Alumina removal and Iron recovery. The recovery of Iron increased from 89% at a pulp density of 2% to 96% at 2.5%. As shown in figure 9, a further increase in pulp density shows a decreasing trend in iron recovery and silica-alumina gauge removal. The optimum pulp density was obtained at 2.5 % at which 89% of Iron was recovered with the grade of 49.72 mass% having 4.19 mass% Alumina and 18.08 mass% silica. TABLE III COMPOSITION OF CONCENTRATE FROM MAGNETIC SEPARATION AT VARIED PULP DENSITY Pulp Density, % % Fe % 𝐀𝐥 𝟐 𝐎 𝟑 % 𝐒𝐢𝐎 𝟐 % P % Fe Recovery 2.00 46.93 5.15 18.79 0.03 93 2.50 49.72 4.19 18.08 0.03 89 5.00 43.70 5.81 20.02 0.02 90 7.50 42.01 5.62 18.80 0.04 87 10.00 40.26 6.26 21.70 0.04 88 Fig.9 Effect of feed pulp densities on Iron recovery and Silica- Alumina removal. This can be explained that 2.5% was the solid-liquid ratio at which the magnetic forces dominated over the liquid drag force hence the effect of applied magnetic field strength had a direct. This entails that the magnetic attraction on iron mineral particles was stronger than both drag force and gravitational force [13]. Alternatively, higher pulp density more than 2.5% caused clogging in the collecting box and hence lower Iron recovery. Fig.10 XRD Mineral phase diagrams for Concentrate from magnetic separation Fig.11 SEM-EDS Pictures for concentrate from 10 T magnetic separation. The concentrate produced at optimum magnetic field density of 10 T indicates that more hematite is prominent in concentrate produced with greater magnetic field density of 7000 mT and 10000 mT than when less magnetic density was used as indicated in 3000 mT and 5000 mT. As shown from the SEM-EDS pictures in figure 11, the concentrate produced also shows disaggregated silica particulates which indicate that second stage magnetic separation would effectively remove the remaining free silica particles. 46.93 49.72 18.08 20.02 93 90 0 20 40 60 80 100 2 2.5 5 7.5 10 %mass Pulp density, % % Fe %Al2O3 %SiO2 %Fe Recovery 20 30 40 50 60 70 80 Intensity 2θ Conc. 3000 mT Conc. 5000 mT Conc. 7500 mT Conc. 10000 mT 20µm 𝐅𝐞 𝐱 𝐎 𝐲 % 𝐒𝐢𝐎 𝟐 Fe2O3 SiO2 Fe3O4
  • 6. E. Effect of Particle size density on Iron recovery Fig.12 Effect of particles size fractions in slurry on iron recovery A slurry containing finer particles size of fewer than 38 micrometres showed a higher iron grade and enhanced the reduction of silica and alumina than the slurries with coarser particles. On the contrary, higher iron recovery of up to 90% was obtained from slurries with coarser particles of between 45 micrometres to 75 micrometres but contained more silica and alumina impurities. The results suggest that it was suitable to remove more impurities when the slurry having a particle size of fewer than 32 micrometres was treated. F.Effect of Equipment selection on Silica and Alumina removal In order to determine the suitable collecting equipment that would be used for effective separation of iron particles from gauge minerals, the efficacy of the wire mesh and the pipe matrix was investigated. Table 4 shows that 89% of Iron was recovered using the wire mesh and 93% for the Pipe matrix. The Iron grade also shows the higher content of 53.22 mass% when the pipe was used as compared to the wire mesh. TABLE IV EFFECT OF EQUIPMENT SELECTION ON SILICA AND ALUMINA REMOVAL Equipment % Fe % 𝐒𝐢𝐎 𝟐 % 𝐀𝐥 𝟐 𝐎 𝟑 % Yield % Fe Recovery Wire 49.7 18.08 4.19 77.22 89 Pipe 53.22 12.01 3.94 72.32 93 The lower yield of 72.32% was obtained when the pipe was used as compared to 77.22% for the wire mesh but the pipe produced a higher grade of 53.22 %mass with less silica and alumina contents of 12.01 %mass and 3.94 % mass respectively. This can be explained that in the pipe more magnetic field gradient was created and the capturing of magnetic particles was more effective than on abacus and crease planes for the wire mesh [14]. The magnetic field gradient in the pipe matrix also dominated over the liquid drag force caused by the rate of pulp flow [15]. G.Efficacy of two stage process on Silica and Alumina removal Fig.13 Efficacy of two stage process on Silica and Alumina removal As shown in figure 13, most of the silica was reduced from 12.01 %mass to just 2.14 % mass. The iron grade was improved drastically from 53.22 %mass in the first stage magnetic separation to 67.07 %mass. IV. CONCLUSION To establish the best mineral processing techniques for effective removal of impurities from Sanje Iron ore, this research concludes that; 1. Sanje Iron ore is a low-grade hematite ore which contains Iron-silica aggregates and their liberation requires adequate milling to fine particle fraction of less than 32µm. 2. Effective removal of impurities from Sanje ore using Wet High-Intensity magnetic separation requires lower feed pulp density of 2.5% and higher magnetic field intensity of 10 T. However, higher Iron grade with minimum impurities is not attained by single Magnetic separation process with just up to 53.22 %mass Iron grade attained with 12.01 %mass silica and 3.94 %mass of alumina. Phosphorous is also observed to be removed with only 0.03 %mass remaining in the concentrate. 3. The two-stage magnetic separation was done to obtain the required Iron grade. As shown in figure 13, 83.41% recovery was necessary to obtain 67.07 %mass of Iron grade with just 1.30 %mass of Alumina and 2.14 %mass of silica. Phosphorous was consequently reduced to 0.01%. The proposed impurity removal process also indicates that only 9.82% of iron with 16.01 %mass grade can be lost to the tailings in the first stage and just 9.67% during the second stage 0 20 40 60 80 100 >75um<106um >45um<75um >38um<45um <38um %mass Particle Size density in Slurry % Fe grade % Fe recovery 34.18 53.22 67.07 93.08 83.41 0 20 40 60 80 100 Feed First stage Second Stage %mass Process stage % Fe Grade % SiO2 % Al2O3 % Recovery
  • 7. 4. The two-stage impurity removal process flow is therefore proposed to upgrade low grade using Wet High-intensity magnetic separation technique as shown in figure 14. Fig.14 Proposed impurity removal process flow Chart REFERENCES 1. G. Prithviraj, G. D. Arnab, B. Chanchal, The effect of presence of SiO2, Al2O3 and P2O5 on the Reduction Behavior of Fe2O3 Nuggets with Coke Fines. Arab J. Sci Eng. 41, pp4743–4752, 2016. 2. J. Watson, Selectivity and mechanical retention in the magnetic separation of polydisperse, mixed mineral particle systems. Miner. Eng. 7, pp 769- 791, 1994. 3. Y. Shao, T.J. Veasey, N.A Rowson, Wet high-intensity magnetic separation of iron mineral. Magnetic and electrical separation, Vol. 8, pp 41-51, 1996. 4. S. Rachappa, Y. Prakash, Iron Ore Recovery from Low Grade by using Advance Methods. Procedia Earth and Planetary Science, Vol. 11, 195- 197, 2015. 5. R. Subrata, Recovery Improvement of Fine Magnetic Particles by Floc Magnetic Separation. Mineral Processing and Extractive Metallurgy Review; An International Journal, 170-179, 2012 6. S. Rath. N.D. Dhawan, B. Das, B.K Mishira. Optimal Recovery of Iron Values from a Low-Grade Iron Ore using Reduction Roasting and Magnetic Separation. Separation Science and Technology. Volume 49, Issue 12, 1927-1936, 2014. 7. A. Arol, A. Aydogan, Recovery enhancement of magnetite fines in magnetic separation. Colloids Surface, Physico- chemistry Engineering Aspects, vol. 232, 151-154, 2004 8. R. Subrata, Recovery improvement of fine magnetic particles by floc magnetic separation. Mineral processing & Extractive metall. Rev.,33:170-179, 2012. 9. S. Mohanty, B. Das, B. K Mishra, Preliminary Investigation into Magnetic Separation Process Using CFD. Minerals Engineering, 24, 1651-1657, 2011. 10. J. Svoboda, The effect of magnetic field strength on the efficiency of magnetic separation. Mineral Engineering, vol. 7, 747-757, 1994. 11. S. Song, S. Lu, A. Lopez-Valdivieso, Magnetic separation of hematite and limonite fines as hydrophobic flocs from iron ores. Mineral Engineering, vol.15, pp. 415-422, 2002. 12. A. S. Seifenassr, E.M. Moslim, A. M. Abouzeid, Effective processing of low grade iron ore through gravity and magnetic separation techniques. Physicochem. Probl. Miner. Process. 48(2), 567-578, 2012.
  • 8. 13. L. Chen, J. Zeng, C. Guan, H. Zhang, R. Yang, High gradient magnetic separation in centrifugal field. Minerals Engineering, Volume 78, 2015 14. X. Zheng, Y. Wang, D. Lu, Study on buildup of fine weakly magnetic minerals on matrices in high gradient magnetic separation. Pysicochem. Probl. Miner. Process. 53 (1), 94-109, 2016. 15. J. Svoboda, T. Fujita, Recent developments in methods of material separation. Mineral engineering 16, 785-792, 2003.