SlideShare ist ein Scribd-Unternehmen logo
1 von 32
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)
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
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.
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
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.
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
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
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)
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.
EXPERIMENTS CONDUCTED
10
1. Varying the bed level of deposit in the FBC
2. Changing the direction of the feed into the teeter column
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
12
Variation of separation at different bed level ( BL-Bed
level; F- feed)
Sieve
%ofsolids
13
0.00
5.00
10.00
15.00
20.00
25.00
30.00
40 60 80 100 120 140 170 -170 sl
UCC F
BL 30
0.00
5.00
10.00
15.00
20.00
25.00
30.00
40 60 80 100 120 140 170 -170 sl
UCC
F
0.00
5.00
10.00
15.00
20.00
25.00
30.00
40 60 80 100 120 140 170 -170 sl
UCC F
BL 20
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
40 60 80 100 120 140 170 -170 sl
UCC F
BL 10
Detailed comparison at each level ( BL-Bed level; F- feed)
Experiment #2
14
Variation of separation at different bed
level
Sieve
%ofsolids
15
0
5
10
15
20
25
30
40 60 80 100 120 140 170 -170
WO-10
W-10
0
5
10
15
20
25
30
35
40 60 80 100 120 140 170 -170
WO-20
W-20
0
5
10
15
20
25
30
40 60 80 100 120 140 170 -170
WO-30
W-30
0
5
10
15
20
25
30
35
40 60 80 100 120 140 170 -170
WO-40
W-40
Comparison of deposit with and without flap( BL-BED LEVEL)
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
 Case #1( at bed level 50)
 O = 42.323 tph
 F = 44.575 tph
 o=74.98
 f=10.24
 E= 6.68%
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
 Base on separation performance
 At bed level 50,
 Percentage of fines while denser particles is 100%
= 11.42%
20
 At bed level 10
 % of fines while denser particles is 100%
• = 5.6%
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
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
23
Variation of separation at different bed level ( BL-Bed
level; F- feed)
Sieve
%ofsolids
24
Experiment #2
Variation of separation at different bed
level
Sieve
%ofsolids
25
Experiment #3
Comparison of feed with deposits at different bed levels
Sieve
%ofsolids
COMPARISON CHART
26
EXPERIMENT EXISTING CONDITION NEW CONDITION
LITTLER’S EQUATION 6.68% 15.88%
SEPARATION
PERFORMANCE (Fines
content)
11.42% 5.6%
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
PROPOSALS
28
1. EFFICIENCY IMROVEMENT OF FBC
 Lowering the bed level
 Increasing the fresh water flow rate
 Improve the nozzle performance
Nozzle Attachment
29
GANTT CHART
30
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
32

Weitere ähnliche Inhalte

Was ist angesagt?

Drilling mud contamination
Drilling mud contaminationDrilling mud contamination
Drilling mud contaminationMahmood Ajabbar
 
Geotechnical Engineering-I [Lec #6: Sieve Analysis]
Geotechnical Engineering-I [Lec #6: Sieve Analysis]Geotechnical Engineering-I [Lec #6: Sieve Analysis]
Geotechnical Engineering-I [Lec #6: Sieve Analysis]Muhammad Irfan
 
Prevention of dynamic sag in deepwater invert emulsion fluid
Prevention of dynamic sag in deepwater invert emulsion fluidPrevention of dynamic sag in deepwater invert emulsion fluid
Prevention of dynamic sag in deepwater invert emulsion fluidamrhaggag
 
Soil Test and Surveys
Soil Test and SurveysSoil Test and Surveys
Soil Test and SurveysJerome Jaime
 
Insitu and lab test
Insitu and lab testInsitu and lab test
Insitu and lab testShah Naseer
 
Drilling Lab - Mud Dilution
Drilling Lab - Mud DilutionDrilling Lab - Mud Dilution
Drilling Lab - Mud DilutionMuhammadSRaniYah
 
Mud weight density1
Mud weight density1Mud weight density1
Mud weight density1HazharDuhoki
 
Atterberg Limits Test
Atterberg Limits TestAtterberg Limits Test
Atterberg Limits TestAbhinav Kumar
 
Summer training report on soil testing experiments
Summer training report on soil testing experimentsSummer training report on soil testing experiments
Summer training report on soil testing experimentsashishcivil098
 
Min and Max Density of soil
Min and Max Density of soilMin and Max Density of soil
Min and Max Density of soilAbhinav Kumar
 
E03405038045
E03405038045E03405038045
E03405038045theijes
 
Soil ii presentation-department of urban and infrastructure engg,neduet.
Soil ii presentation-department of urban and infrastructure engg,neduet.Soil ii presentation-department of urban and infrastructure engg,neduet.
Soil ii presentation-department of urban and infrastructure engg,neduet.Alee RzV
 
Soil mechanics report 2 copy
Soil mechanics report 2   copySoil mechanics report 2   copy
Soil mechanics report 2 copyKNUST
 

Was ist angesagt? (20)

Drilling mud contamination
Drilling mud contaminationDrilling mud contamination
Drilling mud contamination
 
Geotechnical Engineering-I [Lec #6: Sieve Analysis]
Geotechnical Engineering-I [Lec #6: Sieve Analysis]Geotechnical Engineering-I [Lec #6: Sieve Analysis]
Geotechnical Engineering-I [Lec #6: Sieve Analysis]
 
Mud density
Mud densityMud density
Mud density
 
Prevention of dynamic sag in deepwater invert emulsion fluid
Prevention of dynamic sag in deepwater invert emulsion fluidPrevention of dynamic sag in deepwater invert emulsion fluid
Prevention of dynamic sag in deepwater invert emulsion fluid
 
Drilling fluids
Drilling fluidsDrilling fluids
Drilling fluids
 
Group Project Report
Group Project ReportGroup Project Report
Group Project Report
 
Soil Test and Surveys
Soil Test and SurveysSoil Test and Surveys
Soil Test and Surveys
 
Insitu and lab test
Insitu and lab testInsitu and lab test
Insitu and lab test
 
Drilling Lab - Mud Dilution
Drilling Lab - Mud DilutionDrilling Lab - Mud Dilution
Drilling Lab - Mud Dilution
 
Mud weighting
 Mud weighting  Mud weighting
Mud weighting
 
Mud weight density1
Mud weight density1Mud weight density1
Mud weight density1
 
Atterberg limits test
Atterberg limits testAtterberg limits test
Atterberg limits test
 
GT Lab Manual
GT Lab ManualGT Lab Manual
GT Lab Manual
 
Atterberg Limits Test
Atterberg Limits TestAtterberg Limits Test
Atterberg Limits Test
 
Summer training report on soil testing experiments
Summer training report on soil testing experimentsSummer training report on soil testing experiments
Summer training report on soil testing experiments
 
Mud thinner
Mud thinnerMud thinner
Mud thinner
 
Min and Max Density of soil
Min and Max Density of soilMin and Max Density of soil
Min and Max Density of soil
 
E03405038045
E03405038045E03405038045
E03405038045
 
Soil ii presentation-department of urban and infrastructure engg,neduet.
Soil ii presentation-department of urban and infrastructure engg,neduet.Soil ii presentation-department of urban and infrastructure engg,neduet.
Soil ii presentation-department of urban and infrastructure engg,neduet.
 
Soil mechanics report 2 copy
Soil mechanics report 2   copySoil mechanics report 2   copy
Soil mechanics report 2 copy
 

Ähnlich wie TOGY _14MCD1039

Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...
Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...
Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...journal ijrtem
 
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...CSCJournals
 
Pilot plant testing for hydrocyclone design
Pilot plant testing for hydrocyclone  design Pilot plant testing for hydrocyclone  design
Pilot plant testing for hydrocyclone design reyhane mazahernasab
 
Modeling Nutrient Distribution Under Drip Fertigation
Modeling Nutrient Distribution Under Drip Fertigation Modeling Nutrient Distribution Under Drip Fertigation
Modeling Nutrient Distribution Under Drip Fertigation Suyog Khose
 
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...Alexander Decker
 
Long term performance efficiency of MLCS under climatic
Long term performance efficiency of MLCS under climaticLong term performance efficiency of MLCS under climatic
Long term performance efficiency of MLCS under climaticKrishan Dev
 
Sedimentation Ed Ryan M. Ruales
Sedimentation   Ed Ryan M. RualesSedimentation   Ed Ryan M. Ruales
Sedimentation Ed Ryan M. RualesEd Ryan Ruales
 
Soil Moisture 302: Hydraulic Conductivity
Soil Moisture 302: Hydraulic ConductivitySoil Moisture 302: Hydraulic Conductivity
Soil Moisture 302: Hydraulic ConductivityMETER Group, Inc. USA
 
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...IOSR Journals
 
Drilling Fluid Engineering-Viscosity & Yeild Point.pdf
Drilling Fluid Engineering-Viscosity & Yeild Point.pdfDrilling Fluid Engineering-Viscosity & Yeild Point.pdf
Drilling Fluid Engineering-Viscosity & Yeild Point.pdfSARWAR SALAM
 
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash ConcreteEffects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concretepaperpublications3
 
PoreSizeDistribution-AASC
PoreSizeDistribution-AASCPoreSizeDistribution-AASC
PoreSizeDistribution-AASCfrank collins
 
Effect of Recycled Coarse Aggregates in Concrete
Effect of Recycled Coarse Aggregates in ConcreteEffect of Recycled Coarse Aggregates in Concrete
Effect of Recycled Coarse Aggregates in ConcreteM-CET
 
MINOR REPORT - To understand the behavior of strength and workability by cha...
MINOR REPORT - To understand the behavior of strength and workability  by cha...MINOR REPORT - To understand the behavior of strength and workability  by cha...
MINOR REPORT - To understand the behavior of strength and workability by cha...suraj jha
 
Spe international symposium
Spe international symposiumSpe international symposium
Spe international symposiumLucas Vassallo
 
Student Poster presentation - Society of Petrophysicists and Well Log Analysts
Student Poster presentation - Society of Petrophysicists and Well Log AnalystsStudent Poster presentation - Society of Petrophysicists and Well Log Analysts
Student Poster presentation - Society of Petrophysicists and Well Log AnalystsSabarisha Subramaniyan
 

Ähnlich wie TOGY _14MCD1039 (20)

Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...
Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...
Analysis for predicting the Input Interactions of HBF Performance at -10 μm P...
 
Frother type Impact over size by size Cu recovery
Frother type Impact over size by size Cu recoveryFrother type Impact over size by size Cu recovery
Frother type Impact over size by size Cu recovery
 
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...
Experimental Study to Correlate the Test Results of PBT, UCS, and CBR with Li...
 
Pilot plant testing for hydrocyclone design
Pilot plant testing for hydrocyclone  design Pilot plant testing for hydrocyclone  design
Pilot plant testing for hydrocyclone design
 
Modeling Nutrient Distribution Under Drip Fertigation
Modeling Nutrient Distribution Under Drip Fertigation Modeling Nutrient Distribution Under Drip Fertigation
Modeling Nutrient Distribution Under Drip Fertigation
 
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...
Estimation of flow accelerated corrosion (fac) in feeder pipes using cf dd so...
 
Long term performance efficiency of MLCS under climatic
Long term performance efficiency of MLCS under climaticLong term performance efficiency of MLCS under climatic
Long term performance efficiency of MLCS under climatic
 
Sedimentation Ed Ryan M. Ruales
Sedimentation   Ed Ryan M. RualesSedimentation   Ed Ryan M. Ruales
Sedimentation Ed Ryan M. Ruales
 
Soil Moisture 302: Hydraulic Conductivity
Soil Moisture 302: Hydraulic ConductivitySoil Moisture 302: Hydraulic Conductivity
Soil Moisture 302: Hydraulic Conductivity
 
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...
Sensitivity Analysis of Process Parameters for Polyurethane Based Panel Air F...
 
F05513237
F05513237F05513237
F05513237
 
Drilling Fluid Engineering-Viscosity & Yeild Point.pdf
Drilling Fluid Engineering-Viscosity & Yeild Point.pdfDrilling Fluid Engineering-Viscosity & Yeild Point.pdf
Drilling Fluid Engineering-Viscosity & Yeild Point.pdf
 
Thesis.1981.Ohno_Takamasa.pdf
Thesis.1981.Ohno_Takamasa.pdfThesis.1981.Ohno_Takamasa.pdf
Thesis.1981.Ohno_Takamasa.pdf
 
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash ConcreteEffects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
 
PoreSizeDistribution-AASC
PoreSizeDistribution-AASCPoreSizeDistribution-AASC
PoreSizeDistribution-AASC
 
Effect of Recycled Coarse Aggregates in Concrete
Effect of Recycled Coarse Aggregates in ConcreteEffect of Recycled Coarse Aggregates in Concrete
Effect of Recycled Coarse Aggregates in Concrete
 
MINOR REPORT - To understand the behavior of strength and workability by cha...
MINOR REPORT - To understand the behavior of strength and workability  by cha...MINOR REPORT - To understand the behavior of strength and workability  by cha...
MINOR REPORT - To understand the behavior of strength and workability by cha...
 
Spe international symposium
Spe international symposiumSpe international symposium
Spe international symposium
 
Student Poster presentation - Society of Petrophysicists and Well Log Analysts
Student Poster presentation - Society of Petrophysicists and Well Log AnalystsStudent Poster presentation - Society of Petrophysicists and Well Log Analysts
Student Poster presentation - Society of Petrophysicists and Well Log Analysts
 
Amb 017
Amb 017Amb 017
Amb 017
 

TOGY _14MCD1039

  • 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.
  • 10. EXPERIMENTS CONDUCTED 10 1. Varying the bed level of deposit in the FBC 2. Changing the direction of the feed into the teeter column
  • 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
  • 12. 12 Variation of separation at different bed level ( BL-Bed level; F- feed) Sieve %ofsolids
  • 13. 13 0.00 5.00 10.00 15.00 20.00 25.00 30.00 40 60 80 100 120 140 170 -170 sl UCC F BL 30 0.00 5.00 10.00 15.00 20.00 25.00 30.00 40 60 80 100 120 140 170 -170 sl UCC F 0.00 5.00 10.00 15.00 20.00 25.00 30.00 40 60 80 100 120 140 170 -170 sl UCC F BL 20 0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 40 60 80 100 120 140 170 -170 sl UCC F BL 10 Detailed comparison at each level ( BL-Bed level; F- feed)
  • 14. Experiment #2 14 Variation of separation at different bed level Sieve %ofsolids
  • 15. 15 0 5 10 15 20 25 30 40 60 80 100 120 140 170 -170 WO-10 W-10 0 5 10 15 20 25 30 35 40 60 80 100 120 140 170 -170 WO-20 W-20 0 5 10 15 20 25 30 40 60 80 100 120 140 170 -170 WO-30 W-30 0 5 10 15 20 25 30 35 40 60 80 100 120 140 170 -170 WO-40 W-40 Comparison of deposit with and without flap( BL-BED LEVEL)
  • 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
  • 23. 23 Variation of separation at different bed level ( BL-Bed level; F- feed) Sieve %ofsolids
  • 24. 24 Experiment #2 Variation of separation at different bed level Sieve %ofsolids
  • 25. 25 Experiment #3 Comparison of feed with deposits at different bed levels Sieve %ofsolids
  • 26. COMPARISON CHART 26 EXPERIMENT EXISTING CONDITION NEW CONDITION LITTLER’S EQUATION 6.68% 15.88% SEPARATION PERFORMANCE (Fines content) 11.42% 5.6%
  • 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
  • 28. PROPOSALS 28 1. EFFICIENCY IMROVEMENT OF FBC  Lowering the bed level  Increasing the fresh water flow rate  Improve the nozzle performance
  • 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
  • 32. 32