Progress on Axial Dispersion in Pulse Sieve Plate Column
Transcript of Progress on Axial Dispersion in Pulse Sieve Plate Column
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Studies in Hydrodynamic aspects ofPulse sieve plate extraction column
Inderdip P Shere
M. Chem. Engg. -II
VKR
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Contents
Preview of project
Work procedure
Current progress
Conclusion
Future plans
References
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Carry out scale up experimental setup on 30 cm (12) column.
Study hydrodynamic studies on the column.
Utilize best fit model for axial dispersion coefficient.
Develop fundamental correlation to predict axial dispersion
coefficient based on the model selected.
Check for the validity of correlation for different systems.
Preview of project
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Correlating axial dispersion
Power law
Modification in Power law
Parameters
Pulse velocity
Continuous phase velocity
Dispersed phase velocity
Pore diameter
Plate spacing
Fractional free area
Coefficient Values
A0 73.29933
a1 0.7625
a2 0.6216
a3 0.0193
a4 0.2287
a5 -0.2627
a6 1.2903
Regression coefficient ,r is 0.594
Simple Power law poorly fits to the systemAxial dispersion coefficient greater that 60 cm2/sec have been
eliminate. Gives regression coefficient,r value of 0.672.
Parameter Vd was removed to check the dependency of dispersion
coefficient. Gives reduced value of regression coefficient, r of 0.631
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Correlating axial dispersion
Dimension less Parameters
Following dimensionless entities were formed
Other dimensionless entities for physical parameters
The coefficient, a0 is dimension less.The regression coefficient,r is 0.92.
Effects of dispersed and continuous phase velocity are directly seen on axial
dispersion coefficient. Since we have not studied other physical systems.
Dimension less Parameters
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Models
Axial Dispersion Model
Axial dispersion model is based on following equation
We use C curve to calculate the value of dispersion coefficient
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Models
Tank-in-Series Model
It gives number of tank in series to encompass axial dispersion.Advantage over axial dispersion modelPeclet-Bodenstein number, Bo
n is non dimensional variable, (number of tank in series)
Tank-in-Series Model
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Correlations with non dimensional analysis proved to be more
accurate to predict axial dispersion coefficient
Fundamental correlation requires study of different systems
Tank in series model have potential benefits for dispersion
coefficient
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Conclusions
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Procedure for further investigation
Setup 12 diameter column as scale up studies.
Study hydrodynamic aspect of the column
Perform RTD analysis and develop C curve
Develop the correlation using axial model and tank in series model
Predict the axial dispersion coefficient and validate the data. 9
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Columndimensions
Diameter : 0.3 m
Height: 1 m
Plate spacing:5E-2 m
Fraction freearea: 0.25
Hole diameter:1.5E-3 m
Number ofplates: 20
System
Light phase:Kerosene
Heavy phase:Water
RTD analysis
Tracer: KCl (aq)solution
Method ofinjection: Pulse
Method ofdetection:conductivity
Detectinginstrument:
Conductivitymeter
Frequency ofdetection: 1E3Hz
Evaluation ofAxial mixing
parameter
Use ofdispersion andtank in seriesmodel
Curve fitting
Evaluation ofaxial dispersioncoefficient
Specifications
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Dispersion model
(Levenspiel O. and Smith W. K. 1957)
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