1. BY,
TOGY WILSON
14MCD1039
SMBS1
EXPERIMENTAL ANALYSIS FOR OPTIMIZING
THE PROCESS EFFICIENCY OF FLUIDISED
BED CLASSIFIER
INTERNAL GUIDE:
PROF. RADHA R
EXTERNAL GUIDE:
ER.MAHESH V S
(PLANT ENGG.)
The project is being done at:
KERALA MINERALS AND METALS LIMITED,KOLLAM (KERALA)
2. INTRODUCTION
2
Particle separation is the key process in mineral
industry
Fluidised bed classifiers are hindered settling
hydraulic separators
The project mainly focuses on the improvement
of efficiency
Experimental analysis is conducted to check the
efficiency of FBC
3. LITERATURE SURVEY
3
Author Year Paper Inference
Sunil Kumar
Tripathy,
Sharath Kumar
Bhoja a,
C. Raghu Kumar,
Nikkam Suresh
2014 A short review on
hydraulic
classification and its
development in
mineral industry
• Review on various classifiers and
the effect of separation
• The various forces acting on the
sand particle motion along with
its particle size have also studied
P.S. MARCOS
S.K. GILMAN
2007 ‘Old tricks for new
dogs’ Areas for focus
in mineral sand
processing
• Investigated the various ways by
which the existing mineral
separation units can be
optimized.
• The mineral separation through
each classifiers have been cited
according with the grain size of
the minerals.
4. Cont.…
4
Author Year Paper Inference
Sujit Kumar
Dey, Vidyadhar
Ari,
Avimanyu Das
2012 Processing of
electronic waste in a
counter current
teeter-bed separator
• Explored the scope of using the
flat bed classifier for recovering
metals from the electronic waste
• The pulverised e-waste is fed into
the classifier and the metals have
been extracted from the slurry.
Biswajit Sarkar,
Avimanyu Das,
S.P. Mehrotra
2007 Study of separation
features in floatex
density separator for
cleaning fine
• The paper discusses that at a
lower bed pressure the unit acts
more like a classifier rather than a
concentrator
• With increasing bed pressure, the
classification effect is, however,
reduced and the concentration
effect becomes more dominant
due to proper development of
suspension density
5. OBJECTIVE
5
To study the effect on separation with variation in FBC process parameters.
To obtain a quantitative analysis on the optimization of FLUIDISED BED
CLASSIFIER efficiency.
6. METHODOLOGY
6
Detailed Study of the Equipment
Enlisting the various parameters
controling the process
Identifying the Critical Process
Parameters
Experimental execution of the variable
parameters
Analysis of the results
7. SCOPE OF THE PROJECT
7
To eliminate the flow of finer particles to the deposit
To analyze the effect of process parameters controlling the efficiency in
separation process
To optimize the process by varying the process parameters of FBC
8. PROCESS
DETAILS
8
Slurry enters the classifier
through feed well (1)
which uniformly
distributes solids to a
settling chamber (2).
A uniform flow of clean
water is injected to a
distribution chamber (3)
under the settling
chamber.
The clean water passes a
series of injection nozzles
(4) and flows upward
through the settling
chamber, discharging
over the overflow weir (5)
9. Cont..
9
A sensor (6) located near the top of the fluidized
solids monitors the height and specific gravity of
the slurry and causes multiple discharge valve(s)
(7) to open when a set point is reached.
11. VARYING BED LEVEL
11
The bed level of the UCC has been changed
Samples were collected at regular intervals
Results shows an increase in separation efficiency with decrease in bed
level
Optimum separation is obtained at level 10
Experiment #1
16. RESULTS AND DISCUSSION
16
EFFICIENCY CALCULATION
According to Littler’s work,
O=Overflow tonnage
F Feed tonnage
o= Percentage of fines in the overflow
f= Percentage of fines in the feed
17. 17
Case #1( at bed level 50)
O = 42.323 tph
F = 44.575 tph
o=74.98
f=10.24
E= 6.68%
18. 18
Case #2 : at bed level 10 with flap
At bed level 10,
O=42.316 tph
F=44.575 tph
o= 89.42 %
f=5.31 %
E = 15.88%
19. 19
Base on separation performance
At bed level 50,
Percentage of fines while denser particles is 100%
= 11.42%
20. 20
At bed level 10
% of fines while denser particles is 100%
• = 5.6%
21. 21
0
2
4
6
8
10
12
UCC F BL 10 BL 20 BL 30 BL 40
% FINES
87
88
89
90
91
92
93
94
95
UCC F BL 10 BL 20 BL 30 BL 40
% COARSE
Variation in % of solids at different bed level
%ofsolids
%ofsolids
22. VARYING BED LEVEL
22
The bed level of the UCC has been changed
Samples were collected at regular intervals
Results shows an increase in separation efficiency with decrease in bed
level
Optimum separation is obtained at level 10
Experiment #1
27. INFERENCE
27
The separation is more when the bed level is low
The change in direction of the feed enhances the separation
The unexpected changes in the results are due to the variation in the
grain size of the slurry
The general trend has proven the separation increases with the
proposed changes
Further improvement in efficiency can be achieved by effective nozzle
design
31. REFERENCE:
31
Sunil Kumar Tripathy , Sharath Kumar Bhoja , C. Raghu Kumar ,
Nikkam Suresh A short review on hydraulic classification and its
development in mineral industry,powder technology,270 (2014)
MARCOS, P.S. and GILMAN, S.K. ‘Old tricks for new dogs’ Areas for
focus in mineral sand processing. The 6th International Heavy
Minerals Conference ‘Back to Basics’, The Southern African Institute
of Mining and Metallurgy, 2007.
Sujit Kumar Dey, Vidyadhar Ari, Avimanyu Das, Processing of
electronic waste in a counter current teeter-bed separator, Journal of
Environmental Management 107 (2012) 45-51
Biswajit Sarkar, Avimanyu Das, S.P. Mehrotra , Study of separation
features in floatex density separator for cleaning fine coal ,
International Journal for Mineral Processing 86 (2008) 40 –49
Avimanyu Das, Biswajit Sarkar, Surya Pratap Mehrotra ,
Prediction of separation performance of Floatex Density Separator for
processing of fine coal particles , International Journal for Mineral
Processing 91 (2009) 41–49