axial dispersion of liquid 1 n packed bedsdigitool.library.mcgill.ca/thesisfile47648.pdf · axial...
TRANSCRIPT
AXIAL DISPERSION OF LIQUID
1 N PACKED BEDS
McGILL UNIVERSITY
AXIAL DISPERSION OF LIQUID
1 N PACKED BEDS
by
RAM TIRTH KHANNA, B.Sc., B.Tech. (Hons.)
Thesis submitted to the Faculty of Graduate Studies and Research in partial fulfi 1 lment of the requirements for
the degree of Master of Engineering
MONTREAL, QUEBEC
April, 1966
Chemical Engineering
AXIAL DISPERSION OF LJQUJD 1 N PACKED BEDS
Ram Tirth Khanna
ABSTRACT
M. Eng.
The axial dispersion of liquid in a fixed bed of dry
randomly packed Raschig rings was investigated in a 1-foot
diameter column for three sizes of packing: 0.5, 1.0 and 1.5-inch.
The primary variables investigated were particle size, bed height,
liquid and gas flow rates. The transient response technique using
a step function input was used.
Diffusion and random walk models have been used to
obtain axial Peclet Number, Pe = ude/DL· The results are pres
ented as relationships between the axial Peclet Number, the
Reynolds Number of the dispersed liquid phase, Re= udejJ~,
Galle lei Number, Ga = d~gp 2 ! /' 2, and gas phase Reynolds Number,
ReG = deGIJl .
•
i i
ACKNOWLEDGMENTS
The author wishes to express his sincere appreciation
to ali those persans who ren~ered help ln this investigation and
in particular to the following:
To Dr. W. J. M. Douglas of the Chemical Engineering
Department for his counsel, guidance and encouragement.
To the Pulp and Paper Research lnstitute of Canada for
assistance in the form of equipment grants and for the extensive
use of their library, shops and other faci lities.
To Mr. R. A. Lindsay of the P.P.R.I .C. for his assist
ance in the design, construction and maintenance of the electronic
instrumention.
To McGil 1 University for financial assistance in the
form of University Graduate Fel Jowships.
To members of the Computing Centre of McGi 11 University
for thetr cooperation.
To the Staff and Graduate Students of the Chemica1
Engineering Department for their help.
i i i
TABLE OF CONTENTS Page
ACKNOWLEDGMENTS
LIST OF ILLUSTRATIONS
LIST OF TABLES
1. INTRODUCTION
Il . L 1 TERATURE SUR VEY
i i
v
vi i
9
INTRODUCTION 9
HOLDUP JO
RESIDENCE TIME DISTRIBUTION AND LONGITUDINAL DISPERSION 16
Axial Dispersion in Pipe Flow 16 Axial Dispersion in Single Phase Flow
Through Packed Beds 19 Axial Dispersion in Two Phase Flow
Through Packed Beds 27
111. RESIDENCE TIME DISTRIBUTION AND TECHNIQUES OF EVALUATING EFFECTIVE LONGITUDINAL DISPERSION COEFFICIENT
1 n t r od uc t i on Transient Response Comparison of Input Signais Mixing Models Mixing-Cel 1 Model Diffusion Madel Statistical Random Walk Madel
IV. EXPERIMENTAL APPARATUS AND OPERATING PROCEDURE
v.
EQUIPMENT Flow System Instrumentation Conductivity Probe Electronics
EXPERIMENTAL PROCEDURE
CORRELATION AND DISCUSSION OF EXPERIMENTAL RESULTS HOLDUP
33 34
38
39 41 45 51
55 61 64 66 71
84
VI.
PECLET NUMBERS
SUMMARY
NOMENCLATURE
BI BLIOGRAPHY
APPENDICES
87
106
108
Ill
1. Experimental Data and Calculated Results 118
11. Electrical Circuits and Operating Instructions 134
iv
v
LIST OF ILLUSTRATIONS
Figure Page
2
3
4
5
6
7
8
9
JO
1 1
1 2
13
14
15
16
17
18
Material Balance Over a Section of Packed Bed 4
Liquid Phase Dispersion Data for Single Phase Flow
Response Curves for an Impulse Input Function
Response Curves for a Step Input Function
Response Curves for a Sinusoidal Input Function
Mixing Cel 1 Mode)
Material Balance Components of the Diffusion Model
Theoretical Breakthrough Curves for Various Column Peclet Numbers
Flow Diagram of the Experimental Set-up
Photograph of Experimental Set-up
Photograph of Water Distributor
ln let Flow Profiles for Various Liquid Mass Velocities
Photograph of Air Distributor
Photograph of Conductivity Probe Assembly
Basic Circuit Diagram for Conductivity Measurement
Photographs of Six-Channel Amplifier
Vfsicorder Response vs. Solute Concentration Plot, showing the Linearity of the Measuring System
Comparison of Purging and Feeding Step Inputs
23
35
36
37
42
47
51
56
57
59
60
62
65
67
69
70
72
Figure
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
Comparison of Liquid Holdup in Packed Beds
Effect of Liquid Flow Rate with No Gas Flow on Typical Response Curves
Effect of Particle Diameter on Typical Response Curves
Effect of Gas Flow Rate on TypicaJ Response Curves
Effect of Packed Bed Height on Typical Respon se Curves
End Effect Correction vs. Liquid Flow Rate
Operating Liquid Holdup in Packed Beds
Effect of Liquid Phase Reynolds Number on Peclet Number Without Gas Flow
Dispersion for Liquid Flow Through a Packed Bed Without Gas Flow: This Study
Dispersion for Liquid Flow Through a Packed Bed Without Gas Flow: Various Studies
Effect of Mean Liquid Velocity on Effective Axial Dispersion Coefficient for Raschig Rings
Effect of Mean Liquid VeJocity on Effective Axial Dispersion Coefficient for Spheres
Effec t of Gas Ve 1 oc i ty on the Di spe rsed . Liquid Phase Peclet Number
General Correlation of Dispersion Data for Counter-Current Air-Water Flow Through Packed Bed
Basic Circuitry for Amplifier-Demodu1atorAdder Units
74
76
78
79
81
82
86
88
94
96
100
10 1
103
105
137
vi
Table
Il
Ill
IV
LIST OF TABLES
Nomenclature for Figure
Packing Characteristics
Experimental Data and Calculated Results for Liquid Flow
Experimental Data and Calculated Results for Simultaneous Counter-current GasLi qui d F 1 ow
vii
5
63
119
127
1. INTRODUCTION
Many segments of the chemical and process industries,
including the petroleum, pulp and paper, and metal lurgical
industries have processes which involve the contacting of a gas
phase and liquid phase, with and without a solid phase also being
present. Frequently these contactors take the form of packed or
fluidized beds. The contacting may be for the purpose of removing
entrained solids from the gases, for carrying out a chemical reac
tion, for heating or cooling by direct contact of the phases, for
mass transfer such as absorption or dehumidification, or for any
combinations of these operations. ln view of the key position
occupied by gas-liquid contacting operations in the process indus
tries, it follows that attention should be focussed on the funda
mental aspects of heat, mass and momentum transfer in these sys
tems. ln a recently completed study, Chen ( 15) studied the liquid
phase mixing characteristics of a novel gas-liquid contactor, in
which the contacting occurs in the presence of a low density solid
phase which is in a state of random motion due to the combined
action of the gas and liquid flow over the solid. ln correlating
his results for the mixing characteristics of the liquid phase,
Chen found that the even simpler case of mixing in a packed bed
with a static solid phase was reported in an incomplete and con
flicting way. Since a packed bed provides a natural point of
reference for desired further studies of gas-liquid contacting in
a mobi Je bed, and since packed beds are of basic interest due to
their widespread use in the process industries, it was apparent
that a specifie study of longitudinal dispersion or axial mixing
2
in a packed bed was required.
Axial dispersion has been neglected in the calculation
of mass transfer coefficients in packed beds. Mass transfer data
obtained from wetted wal 1 or dise columns are not directly ap~li
cable to the prediction of performance of packed absorbers. This
is because little is known about the flow of fluids over packing
surfaces. True values of mass transfer coefficients based on
the actual existing concentrations of materials can be evaluated
when the extent of this dispersion is known. The classical
design approach has been to assume a uniform velocity across the
bed, with 'piston-flow' through the bed. However, residence time
distribution measurements have shawn that this is far from being
an accurate description of the flow (8, JO, 20, 26, 58, 70, 83).
ln most real cases neither of the two limiting cases of 1plug
flow• or 'perfect mixing' apply. The Jack of established quan
titative generalisations do not permit the inclusion of the axial
dispersion factor into rational design methods.
Axial mixing tends to reduce the concentration driving
force for mass transfer or chemical reaction from that Which
would exist for plug flow. A high degree of mixing may sometimes
be an advantage, for exampJe when consecutive reactions occur
( 107). For any counter-current contacter, the concentration
gradients in beth phases are Jowered by such mixing and the
driving force for mass transfer may be decreased considerably
(72). For a given column under conditions of axial mixing the
height of transfer unit, reported on the basis of Colburn•s equa
tions, are higher than that calculated from actual mass transfer
coefficients. lt follows, that in order to be a~Je to predict
accurately the performance of any contacting deviee, precise
knowledge of the extent of axial mixing in both phases must be
known.
Consider a material balance over a thin cross-section
3
of a packed absorption tower as shown in Figure 1. There are
three modes of material transfer in and out of the section. With
the fol Jowing simplifying assumptions, one can arrive at basic
differentiai equations relating concentration variation along the
packed bed:
1. Uniform constant velocity in the bed.
11. No radial concentration gradients.
1 Il. The mixing is characterized by Fick's Law, where
effective dispersion coefficient i s used instead
of molecular diffusivity.
IV. 1 nterphase trans fer rate i s given by;
Rate = Kla(.cl - mcG)
whence for liquid phase:
2 -DL€L del+ L del+ KLa(cl - mcG) = 0
dx2 PL dx
and for gas phase:
( 1 • 1 )
( 1 . 2)
( 1 • 3)
The case for DL and DG equal to zero reduces equation ( 1.2) and
( 1.3) to the expressions which are currently used in mass transfer
FIGURE
MATERIAL BALANCE OVER A SECTION
OF PACKED BED
4
TABLE 1. NOMENCLATURE FOR FIG. 1
Symbol Meaning
Variables
G
L
A
p
ê
D
c
x
m
Subscri pts
Mass velocity of gas phase, lb./hr.-sq.ft.
Mass velocity of liquid phase, 1b./hr.-sq.ft.
Cross sectional area of tower, sq.ft.
Density of fluid, lb./cu.ft.
Fraction of bed occupied by fluid, cu. ft./cu. ft.
Effective diffusivity, sq.ft./hr.
Concentration, lb. mole/cu.ft.
Position in bed, ft.
Over-all Jiquid phase mass transfer coefficient, (lb. mole/cu.ft.)/hr.-(lb. mole/cu.ft.)
* Equi librium constant, cL= m cG where c~ is the concentration of a liquid in equi librium with a gas of concentration, CG.
L Liquid phase
G Gas phase
5
e e
D
(L,~cl) ( LPAcl) x LIQUID L x+ ÂX ... LIQUI
PHASE
(-DL A •t ::L ) ( del) -DLAcL r -dx . x *
X+ÂX
-- ~-----~----- -- - .... ---- ........ - -- -- --- - • ----- - ·-·-- INTERFACE
(G,:cG) - cAcG) 1\; x+âx x GAS -GAS --
( D A• dcG) PHASE ( DoA•G de~ -G G ëiX x dx + âx
x x+âx
*FLUX ACROSS INTERFACE = KLa Aâx (cL- mcG)
6
design. The resulting equations are fi rst order differentiai
equations and are easïer to apply than the second order equations
( 1,2) and ( 1.3). The fact that DL and DG are never zero in any
real situation indicates the importance of equations ( 1 .2) and
( 1 .3) in predicting the performance of continuous flow mass trans
fer systems.
The phenomenon of axial dispersion is indicated by the
spread of residence times of the individual elements of a fluid
stream passing through any flow vesse!. Although the distribution
of residence times describes the steady state behaviour of a sys
tem, i t is most readï ly obtai ned by the unsteady state method
known as the transient response technique. !n this technique a
particular input function may be imposed on the system so as to
yield the distribution directly, ln the present study~ a step
change of a salt tracer concentration has been employed as the
input signal. The transient response was obtained by subsequent
measurement of the outlet concentration as a function of time.
The transient response, in the usual situation~ is
inadequate to make a unique prediction of system performance.
The fact that the outlet residence time distribution does not
resolve the case history of each element of reactant fluid in the
system has already been weil documented (22, 110, Ill). However,
when a mathematical formulation which simulates the dispersion
process within the system is also known 9 it is possible to char-.
acterize the dispersion process with the correlating parameter of
the mode!. A bread review of models whlch have been used to des
cri be the dispersion process in the flow systems is presented.
7
The present investigation may in many ways be considered
as a continuation of industrial and theoretical studies of gas-
liquid contacting involving 11 floating beds 11,
11 turbulent bed con-
tactors11, or in more general terms, "mobile beds" ( 15~ 29, 53,
137). ln order to establish a more reliable base for studying the
behaviour of mobile bed contactors~ however, it was found neces
sary to conduct a caref4l study on a fixed bed system first. This
thesis is concerned with the study of the liquid phase response to
a step function in tracer concentration in the inlet liquid stream.
The primary objective of this study has been to evaluate the mixing
occurring in the axial direction in the dispersed liquid phase for
dry random packed beds of ceramic rings, with and without simul
taneous counter-current gas flow. Most of the data aval Jable in
the literature regarding single-phase and two-phase flow relate to
laboratory experiments. The need for additional data on single
and two-phase flow in fui 1 scale equipment has been widely
stressed (59). The present investigation has been undertaken to
furnish badly needed data on axial dispersion of liquid phase, the
measurements being made on equipment which is intermediate in
size, i.e. larger than many laboratory investigations of the past,
but smal 1er than industrial equipment.
As a logical prelude to further studies, complicating
effects such as absorption or chemical reaction between the liquid
and gas stream have been avoided. An inert air-water system has
been selected for the purpose. The basic parameters studied are
liquid flow rate, gas flow rate, and packing diameter. ln view
of the need for experimental data in near industrial size equip
8
ment, it was decided to conduct studies in 1-ft. diameter column,
using industrial packing of 0.5, 1.0 and 1 .5-inch Raschig rings.
9
1 1. LITERATURE SURVEY
1 NTRODUCT ION
Nearly ali of the research in the area of packed beds
has dealt with gross properties such as pressure drop, holdup and
overall transfer coefficients. This is not surprising, since a
packed bed forms such a complicated fluid dynamic environment
that investigators have to describe the performance on the basis
of measured gross properties. For example, experimenters on
packed columns have made extensive reference to holdup (36, 39,
79, 85' 1 15' 1 1 6) .
Though residence time distribution for a continuous
flow system has been described as early as 1934 by MacMulin and
Weber ( 1 12), the application of this knowledge to packed beds is
of relatively recent origin. The methods of treating nonideal
flow behaviour in actual process equipment either have only
recently been developed or are yet to be developed. ln this
section the significant literature pertinent to the present
residence time distribution and axial mixing study wi 11 be
reviewed. This wi 11 include a review of holdup studies, axial
mixing studies in continuous flow systems, and comparison and
description of different flow models which have been put forth
by different investigators.
ln chemically reactive systems 9 the performance is
dependent upon the residence time distribution of the reactants
and the kinetics of the system. The performance of the system is
predictable for a change which is a linear function of an inten
sive fluid property. However, for non-1 inear systems, such as
10
is the case for any reaction which is not first order, the know
Jedge of residence-times and the kinetics of the system furnish
necessary but not sufficient conditions for predicting the per
formance. For such cases a knowledge of actual experimental flow
pattern in the system is required in order to be able to predict
the performance. Since, in the present study a non-reactive sys
tem has been chosen, the pertinent literature on the effect of
mixing on chemical reaction rate has been excluded from this
review. Further in two phase flow, only the literature directly
concerned with counter-current flow through packed beds has been
reviewed.
1. HOLDUP:
The volume fraction occupied by the Jiquid in an absorp
tion column at any time during operation is frequently referred
to as holdup. Under normal operating conditions, the gas in a
bed occupies a Jarger portion of the voids than the liquid phase.
lt wi Il be seen that the experimental techniques for evaluating
the holdup are relatively simple but cannot be applied to the gas
phase. ln most of the previous works the fraction of total void
volume occupied by gas has therefore been determined from the
knowledge of liquid holdup.
ln the analysis of the performance of packed co1umns
such as those used for absorption, distillation, humidification
etc., estimation of liquid holdup in the voids of the bed would
Jead to better understanding of the mechanism of mass transfer.
Importance of holdup in mass transfer processes is shown by the
number of attempts made to correlate and explain data on the
Il
basis of the Jiquid holdup in such columns (36, 39, 85, 114, 115,
1 1 6).
Payne and Dodge (79) were the pioneers of holdup
studies. They reported holdup data on 10 mm glass rings in a
2.84-inch diameter column. They determined the amount of liquid
necessary to wet the walls and packing, which we now cali "static
holdup", by introducing a known amount of liquid into the column
and measuring the drained excess. The dynamic holdup was also
measured, starting from the condition of a steady-state flow of
Jiquid through the tower. Al 1 experiments were carried out
without gas flow through the column. After steady state was
attained, the liquid flow was stopped and simultaneously the
drainage was col Jected and measured. The sum of the drainage and
the amount necessary to wet the system was taken to be the holdup.
Their primary interest was to apply holdup data to mass transfer
absorption data, and no attempt was made to correlate their data.
lt remained for Fenske, Tongberg and Quiggle {36) to
give names to the individual components of the total holdup~ HT·
The static holdup, H5 , is defined as the liquid in the packing
which did not drain from the packing when the liquid supply to
the column is discontinued. lt is thus the amount necessary to 1
wet the tower packing. The amount of liquid that drained from
the packing after the liquid flow was suddenly eut off from
steady flow, is cal led the operating holdup, Hop· The total
liquid holdup, HT, is defined as the total liquid in the packing
under operating conditions. The relation between the three
holdups is given by:
12
( 2. 1 )
Simmons and Osborn (86) working with beds of spheres
and coke, concluded that the operating holdup varies linearly
with the mass flow rate of the liquid phase:
H0 p = bL ( 2. 2)
The constant, b, in equation (2.2) is independent of the packing
type but depends on the nature of the liquid. The liquids reported
in their work were water and kerosene. At about the same tïme,
Uchida and Fugita {99) were conducting experiments on beds of rings
and broken solids. Furnas and Bellinger (39) determined the
operating and static holdups for Raschig rings and Berl saddles.
They also concluded that the gas flow rate has negligible effect
on the liquid holdup below the loading point. The same conclusion
was arrived at by Elgin and Weiss (33) who studied the effect of
gas flow rate on the holdup in beds packed with Berl saddles,
rings and bal ls. Cooper, Christi and Perry ( 1 13) employed holdup
data to interpret the effect of gas velocity and high liquid rates
on Height of Transfer Unit (HTU) values measured in the desorption
of carbon dioxide in packed towers. Jesser and Elgin (34) in
their comprehensive study of liquid holdup in beds of glass
spheres, Berl saddles and carbon rings gave the fol Jowing relation
for operating holdup:
H = bls op ( 2. 3)
The exponent, s, depends on the type of packing used but not on
the size of the particles. The coefficient, b, is proportional to
the surface area per unit volume of packed bed. Static holdup was
13
found to be constant for given packing size and shape.
Shulman, UJ !rich and Wei ls (85) measured holdups for
various packings by weighing the entire JO-inch diameter, 36-inch
packed bed with a highly sensitive suspension system. They gave
fol lowing empi ri cal equation for total holdup:
H - bls T --
o2 (2.4)
where D is the diameter of a sphere possessing the same surface
area as the piece of packing. The coefficients, b and s, are
functions of the geometry, size and material of packing. The
static holdup, which is a measure of the accumulated semi-stagnant
liquid, was related by equation (2.5):
( 2. 5)
The coefficient a, depends on the material and shape of the pack
ing whi le rn is a function of shape of the packing only.
Most of the correlati·ons proposed for prediction of
holdup may be observed to be dimensionally inconsistent. By
making use of the fact that holdup is virtually independent of
the gas flow rate below the loading point and using dimensional
analysis, a generalised quantitative correlation was presented by
Otake and Okada (78) for a wide variety of combinations of packing
geometry, size and physical properties of the liquid. Combining
their data with those of previous studies {33, 34, 86, 99), they
reported the following correlation for operating holdup for
Raschig rings, Berl saddles and spheres of sizes from 1/4-inch to
1- inch.
14
= 1. 295 (~Lr 671 d!~plO. 44 adp ( 2. 6)
Davidson ( 1 14), based on theoretica1 considerations,
obtained a simi Jar correlation as given below:
(2.7)
The correlation (2.8), proposed by Varrier and Rao ( l 17) appears
to be a ·modification ·of Otake 1 s correlation in which d3 has been p
rep laced by 1 /N.
= 7 .. 1 2 ( L ) 0 . 6 7 ( :Jfi_ )-0 . 44
1 /3 NJ1.2
N }J.
( 2. 8)
where N is number of pieces of packing per cubic foot of packed
volume.
Recently, Mohunta ahd Laddha (73) gave a generalized
correlation (2.9) for predicting the liquid phase holdup in terms
of packing density, equivalent spherical diameter (defined as
diameter of a sphere having the same volume as a piece of packing),
for operating holdup for Raschig rings, Lessing rings and spherical
packings.
( 2. 9)
Direct measurement method was employed ln al 1 earlier
works. Otake and Kunugita (76) were the first to apply tracer
techniques in the study of holdup. Residence time of the liquid
in the bed was used to calculate total Jiquid holdup. They found
that total liquid holdup was proportional to the interstitial
15
ve1ocity. They were successful in determining static ho1dup by
extrapolating to zero ve1ocity on a plot of HT versus interstitia1
velocity. Their results for static and operating holdup for
Raschig rings are given by equations (2. 10) and (2. l 1).
H5
= 0.038 d
Hop= 1.75 x J03(~~(d3
;;;2
) - 1
where d is diameter of rings in centimeters.
(2.10)
(2.11)
De Maria and White (24) employing transient response
technique to gas phase related the fraction of the total voidage
occupied by gas by equation (2. 12).
4 -6 ( )-2.31 = 0.90 x 10-3. 3 x JO d/dt Rel (2.12)
and since
(2.13)
total holdup was given by equation (2. 14)
HT = f 1 - 0 . 9 0 x 10-3. 4 3 x 10 d 1 dt ReL ( 2. 1 4) [
-6( ,-2.31 ]
This resu1t is independent of the gas flow rate 9 as indicated by
previous investigators. As indicated earlier that fG is much
higher than HT, the above relationship should be used with caution
because the determination of total holdup involves subtracting a
large number from another large number to geta smal 1 number by
difference. The usefulness of equation (2.1 1) is also restricted
16
by the fact that it involves interstitial velocity, which depends
on the liquid holdup in the system. The fact that this equation
does correlate experimental data qui te satisfactori ly more than
offsets this criticism, especial ly so when it is possible to
determine actual residence times of the liquid phase in the system.
Therefore this is by far the most general correlation avai Jable
for the determination of holdup. Transient response technique has
also been successfully used for the measurement of liquid holdup
by Schiesser and Lapidus (83) in their studies of flow distribu
tion in a tric~e-bed column.
2. RESIDENCE TIME DISTRIBUTION AND LONGITUDINAL DISPERSION
Unti 1 recently the transport of mass in the direction
of flow by a 11 di ffusion mechanism11 has been neglected i·n the study
of rate processes. A number of theoretical studies ( 1, 2, 4, 5,
8, 9, 20, 25, 43, 58, 63, 65, 93, 94, 101, 126, 127, 128) and
experimental investigations (10, 11, 13, 15, 24, 26, 30, 31, 41,
42, 46, 48, sa, 68, 70, 72, 76, 82, 87, 96) have been made to
determine the nature and magnitude of the axial dispersion mecha
nism. Various investigations regarding the axial dispersion that
have been reported in the Jast decade for non-fluidised continuous
flow systems can be categorised under three headings~
1. Single-phase flow through empty pipes,
1 1. Single-phase flow through packed beds,
111. Two-phase flow through packed beds.
1. AXIAL DISPERSION IN P·IPE FLOW: Taylor (93), in 1953, con
sidered Poiseul 1 le flow where axial dispersion is due to parabolic
17
veloclty profile and transverse molecular diffusion. He described
the system as equivalent to one having a flat velocity profile
equal to the mean velocity V, and an effective axial dispersion
coefficient, DL. This mode! impl icitly defines the axial disper
sion coefficient~ which Taylor found to be
where Dv is the molecular diffusivity of the fluid species. The
effective Peclet number in Poiseul Ile flow, according to Taylor
(93) and van Deemter et al, ( 1 19)$ becomes:
(2.16)
This analysis is valid only if the time constant for transverse
molecular diffusion ( ~ d~/Dv) is not much larger than the average
residence time, i.e.
(2. 17)
which yields,
Pe x L/Dt>J92 (2.18)
where Lis the Jength of tube.
Since the values of Pe for Jiquids as reported by
Taylor (93) are of the order of Jo-2 9 this leads to excessively
high values of L/dt for liquids.
Aris (120, 121) extended this work. By using the method
of moments he showed that the axial dispersion effect is additive
and thus modified equation (2. 15) to glve:
(2.19)
18
He also generalised the entire treatment to include ali types of
velocity distribution with any vesse! geometry. He showed that
the coefficient given as 1/48 by Taylor is real ly a function of
tube shape and velocity profile. Taylor (94) later extended the
treatment for turbulent flow in tubes and correlated the effective
axial dispersion coefficient wîth fanning friction factor.
Tichacek et al. (96) using experimental velocity
profiles over a wide range of the turbulent region (Re = 2,500 -
2.19 x 106) calculated axial Peclet number which show limited
agreement with the experimental results of Fowler and Brown (38)
and Keys (52). He also found that effective longitudinal disper-
sion coefficient was quite sensitive to variations in velocity
profile. Sjenitzer (88) correlated a large number of measure
ments, sorne of which were performed with commercial pipe !ines,
and proposed the empirical relationship,
( 2. 20)
.For turbulent flow in pipes at Re.>10 4, the Peclet number for
longitudinal dispersion is much higher than for laminar flow and
near plug flow behaviour results. This is because of transverse
transport of mass and momentum due to turbulence which flattens
velocity profile and greatly increases radial mixing.
Experimental results reported by a number of investi
gators for dispersion in tubes are in rather good agreement with
each other. Taylor•s approximate solutions for reasonably large
values of residence time predict nearly the same results. How
ever, for slow flows the effect of Peclet number has not been
established satisfactori ly and the limits of applicabi lity of
19
the Taylor-Aris solution are in doubt.
Very recently, Ananthakrishnan, Gi 11 and Barduhn ( 1),
using modified Peaceman and Rachford ( 122) numerical method,
have obtained a complete numerical solution to the equation
describing laminar flow in tubes with both axial and radial mol
ecular diffusion. Their numerical results for both small and
large values of Peclet number corroborate the Taylor-Aris asymp
totic solution for large values of residence time. Crookewit et
al. (18) have given results for flow in an annular region.
The spread of residence times in laminar flow in pipes
is a consequence of poor radial transport. The dispersion for a
viscous flow is shown to be considerably reduced by spira11ing
the tube. Secondary flow is produced in any curved conduit by
the action of centrifugai force which acts most strongly on the
fluid near the centre of the curved path. ln tubes, this has
shown to produce two symmetric circulation patterns (57).
Kramers (59) suggests that the secondary flow in a curved pipe
results in considerable decrease in the spread of residence
times. Koutsky and Adler (57) improved the transverse dispersion
by winding the tube into a helix. As a consequence, the apparent
longitudinal dispersion èoefflcient for.:taminat flow in curved
tubes is surprisingly sma11.
11. AXIAL DISPERSION IN SINGLE PHASE FLOW THROUGH PACKED BEDS:
When a single homogeneous fluid flows through the interstices of
packed bed, the elements of the fluid undergo random changes of
velocity. These variations in the local velocity cause a disper
sion in the direction of flow causing a self-mixing of the flowing
20
fluid. One of the practical interests in the effects of longi
tudinal mixing has been in continuous flow through process equip
ment for the purpose of mass or heat transfer between the fluid
and the solid phase or of a chemical reaction. One of the
examples of recent interest is the process of chromatographie
separation, where axial mixing is undesi rable, si nee it leads to
a broadening of the peaks and a Joss of selectivity (100).
The most common approach to describing fluid dispersion
has been the assumption of a single eddy dispersion mechanism in
the bed. Whi le this may not be physical Jy correct ( 123), the
mathematical description of fluid dispersion assuming a single or
average eddy dispersion coefficient for the bed often results in
a successful correlation of the data for single phase flow.
Study of axial dispersion in packed systems appears to
have started at Princeton University where Deisler and Wi Jhelm
(26) in 1953 studied dispersion in beds of porous solids using a
frequency response technique. They were able to relate the effec
tive dispersion coefficient to amplitude attenuation and phase lag
of a sinusoidal input. McHenry and Wilhelm (79), employing the
same technique but with improved precision, concluded- that the
axial Peclet number for spheres based on particle diameter was
not detectably different from 2(actual range, 1.6 to 2.3} over
the· range of Reynolds number studied ( 10-400). The significance
of the value 2 derives from the case of perfect mixing in every
void of the bed, which leads theoretically to a Peclet number of
2. The published gas residence time distribution.results of
De Maria and White (24} show serious asymmetry about the mean,
21
indicating more uneven distribution of gas (channeling). For a
range of gas phase Reynolds numbers from 5.5 to 200, they found
that the Peclet number, ud/DL, is independent of Reynolds number
and equal to 1 .94.
Sine lair (87) using Mercury vapour in an air stream and
ultra-violet absorption principle, measured longitudinal disper
sion by frequency-response technique. The longitudinal Peclet
numbers for Reynolds number of 4.1 and greater, agree with those
of other workers in that values of the Peclet number of about 2
are obtained. Carberry and Bretton ( 13) have briefly reported a
few experimental results of longitudinal dispersion in packed
chromatographie columns, using helium as a tracer in air. These
measurements at low Reynolds numbers (Jess than 1) yielded a value
of the Peclet number consistent with the molecular-diffusion coef
ficient of the helium-air system. This substantiates the princi
ple that at low flow rates the effective dispersion coefficient
should reduce to the molecular diffusivity.
lt has been easier to measure concentrations of tracer
material in liquids than in gases, a fact that has resulted in
more information being now avai Jable for liquids than for gases.
Oanckwerts 1 (20) widely quoted 1953 paper was the first of its
kind and provided the fundamental basis for axial mixing studies
using residence time distribution of the fluid flowing through a
continuous system. He concluded that for any incrementai volume
of fluid entering a packed bed, there would be an infini te number
of possible residence times dependent entirely on the path taken
by the incrementai volume through the bed. He also introduced
22
the concept of 11 hold-back11 and 11 segregation 11, which were later
modified to explain real systems. He applied his analysis to a
single experiment in which a step input of tracer was introduced
into a bed packed with 3/8-inch Raschig rings. The Reynolds
number, dl, of the flowing water was 22 and the analysis of break-JI through curve gave a Peclet number, ud, of 0.55 which is shown in
DL Figure 2. The experimental residence time curve was found to be
in good agreement with that predicted from 11 diffusion-model 11•
Kramers and Alberda (58) used the frequency response
technique to determine axial dispersion. Their analysis showed
that frequency response diagram for a system with perfect piston
flow superimposed on longitudinal diffusion is identical with
that of n equal volume perfect mixed stages with the same total
residence time, and obtained:
= 2n (2.21)
where n is the number of equal volume, perfectly mixed cel ls in
series. The validity of equation (2.21) is restricted to very
high values of n, but has been used to obtain rough estimate of
the longitudinal dispersion in a fluid flowing through a packed
bed. Their experiment at two water flow rates corresponding to
Reynolds number of 75 and 150 gave the Peclet number of 0.965 for
both the runs and are also shown in Figure 2.
Aris and Amudson (4) worked out the case for spheres
packed in a rhombohedral arrangement and found that a perfect
mixing cel 1 corresponds to a length equal to 0.816 times the
particle diameter or:
FIGURE 2.
LIQUID PHASE DISPERSION DATA FOR SINGLE
PHASE FLOW THROUGH PACKED BED
23
e
6 J..
4 ~
2 J..
- 1.0 Q)
a. 6
4 c
2 l 0.1
1 1 ' • • 1 1 J 1 .... 1- 1
A - CARBERRY a BRETTON ( 13)
x - DANCKWERTS (20)
B - EBACH a WHITE (31)
+ - KRAMERS a ALBERDA (58)
C - LI LES a GEANKOPLIS ( 68)
D - STRANG a GEANKOPLIS ( 92)
D + c
D
c A
1 1 • 1 1 • • • l 1 1
2 4 6 810 2
ReL 4 6 100 2
-·
e
• --
-
---•
-1
4
24
(2.22)
However, for random packed beds they obtained the same equation
(2.21).
Ebach and White (31) used dye as a tracer and employed
sinusoïdal and impulse input in a bed packed with glass spheres,
Raschig rings, Berl saddles and lntalox saddles. The values
obtained for Peclet number scattered in the range of 0.5 to 1.0,
over a Reynolds number range of 0.01 to 200. Variations in liquid
viscosity from 1 to 26 centipoises were found to have no detect
able effect on DL· They used the equivalent diameter, de, (defined
as the diameter of a sphere with the same volume as the particle)
and correlated their data by
(2.23)
for deuP Jess than 100.
J1 Carberry and Bretton ( 13) in their study of axial dis
persion of a continuous water phase, flowing in 1.0 and 1.5-inch
diameter column pointed out that for particle Reynolds number,
d u p !p. , between 5 and 100, the Pee let number, ud/DL i s approxi
mately constant with extreme values lying between 0.2 and 1.3
Their results representa significant departure from those of
Ebach and White (31). There is sorne uncertainty with respect to
the results of Carberry and Bretton due to the presence of long
tai ls in their experimental residence time curves, which they
referred to as 11 bed capaci tance". They offered cri ti ci sm for the
25
work of Kramers and Alberda on the grounds that the use of phase
angle data rather than the amplitude attenuation in the original
calculations, yields axial dispersion coefficients 50 to lOO%
different from those reported.
Jacques and Vermeulen (124) employed an electrical con
ductivity cell placed di rectly in the bed to measure the response
to a step input of salt solution. They varied the porosity of the
bed by packing 3/4-inch spheres in four geometrie patterns. The
use of 1/4 and 3/4-inch Raschig rings, 1-inch lntalox saddles and
1/4-inch pellets along with the spheres gave a good range of
particle geometries. Using equivalent spherical diameter (as
defined for equation 2.23) they obtained good correlation of
their data. For a Reynolds number Jess than 30, the Peclet number
is approximately O. 18 and 0.67 above 200.
Strang and Geankoplis (92) used di lute solutions of 2-
naphthol as a tracer and obtained concentrations by measuring the
transparency of the liquid in a void gap to ultra-violet light.
They also employed frequency response technique. For Reynolds
number, dl, from 10 to 50, they found the Peclet number to be
0.88 for~lass beads and 0.56 for Raschig rings. They pointed
out that short columns gave incorrect results owing to end
effects. ln a study directed exclusively to determine the effect
of packed length and particle diameter on the Peclet number,
Li les and Geankoplis (68) reported that DL is not a function of
length. The Peclet numbers of 3 and 6 mm beads were approximately
the same, whi le those for 0.47 mm beads were much lower. This was
attributed to a possible change in flow characteristics for fine
26
particles of this dimension. The effect of interstitial velocity
on DL for spheres was given by fol lowing empirical equation:
(2.24)
Cairns and Prausnitz ( 10 9 11) used an electrical conduc
tivity cel! to measure the response to a step input of salt solu
tion. Three sizes of spheres were investigated and the results
given as a plot of udh/DL versus dh, where dh is the hydraulic
diameter for a packed bed and includes the effect of bed diameter.
For spherical packing, the hydraulic diameter is given by:
€ dt dh = ------=-----~---
3 dt ( 1 -f) + 1 2 d
(2.25)
Over a range of udh from 0.04 to 20 sq.cm./sec., they found that
the Pee let number varies from about 0.3 to 1 .0.
Gottschlich {43) tried to explain the discrepancy
between the axial Peclet numbers for gas-flow and liquid-flow
experiments by including the effect of a stagnant fi lm, This fi lm
has been compared with the stagnant fi lm calculated from mass
transfer experiments and calculated that the two kinds of fi lm
appear to be the same. Hiby (48), Cairns and Prausnitz (JO) have
indicated that the presence of wall effects gives higher disper
sion. Radially integrated results are shown to be higher due to
a non-flat velocity profi Je, especially when the ratio of diameter
of bed to the diameter of particle, dt/dp, is Jess than 15.
27
111. AXIAL DISPERSION IN TWO-PHASE FLOW THROUGH PACKED BEDS:
The problem of evaluating the Peclet numbers of each
phase of a two phase system presents more challenging difficul
ties than for single-phase systems. This accounts for the meagre
data avai Jable for these systems. The main problem centers around
the determination of concentration of the two phases since the
presence of one phase interferes in the determination of concen
tration of the other.
Kramers and Alberda (58) in their study of the frequency
response of 0.7 m high packing of 10 mm Raschig rings found that
the residence time distribution was as that predicted by JO to 20
perfect mixers in cascade. They reported increase in longitudinal
dispersion with decreasing liquid Joad but found that the gas
velocity had little influence below the loading point. At zero
gas flow rates, the Peclet number, ud/DL varies from 0.3 at a
superficial liquid flow rate of 3200 lb./(hr.-sq.ft.) to 0.5 at
a liquid rate of 6900Jb./(hr.-sq.ft.).
ln a particularly significiant study reported in 1958,
Otake and Kunugita (76) determined the Peclet number of the dis
persed water flow in a bed of 0.785 and 1.55 cm Raschig rings
for Reynolds number range of 70-100 and gas flow of zero or
13 lb./(hr.-sq.ft.). Their results for laboratory size equip
ment were correlated by: 0 5 0.333
Ot) = 0.527(714. (~fl L L L
( 2. 26)
28
or ( ) 0 5 ( 3 2) -0 . 3 3 3
~~~t=l.897 dï/ L. d;/ L (2.27)
As shown by the correlation, the Peclet number is independent of
the gas flow rate. Since their flow rates were alwqys below the
loading conditions this result is to be expected from holdup find
ings. The values of Peclet numbe·r in the case of irrigated packed
towers were found to be very high as compared with those in other
types of flow reactors. They concluded that the liquid flow in a
packed bed tower closely resembles the piston flow, the more so
by increasing the length of the bed and the mean velocity of
liquid and decreasing the diameter of packing. However, equation
(2.26) fai led to correlate the data of Hofmann (49), who used a
column of industrial size. ln 1965, Chen ( 15) reported experi
ments with fixed beds of0.5, 1.0 and 1.5-inch spheres using
transient response technique. When Chen related his experimental
data for the Peclet number of the dispersed water phase by equa
tion (2.28), he found significant departure from that obtained by
0 ta ke et a 1 . ( 7 6) .
( 2. 28)
Jacques et aJ. (50) conducted longitudinal dispersion
experiments in a 2-ft. diameter gas absorption column. Using
Einstein•s statistical mode! (32) their reported Peclet numbers
for both phases were found to be much lower~ perhaps the lowest
of those in previous studies. Liquid phase Peclet numbers were
found to increase with liquid flow rates and no quantitative
effect of gas rate was observed.
29
Stemerding ( 129) for a 10-ft. high column packed with
10 mm. rings found the axial dispersion coefficient for the con
tinuous water phase to be essentially constant, i.e. to be inde
pendent of water flow rate over the range 0.2 to 1.0 cm./sec.,
and dependent only on the air flow rate, ln a simi Jar study for
the case of countercurrent flow of liquid and gas over a completely
submerged packing of Raschig rings conducted by Ot~ke et al. (77),
results were found which contradicted those obtained by Stemerding
( 129), but were correlated weil by the equation (2.29):
Pe = 1.425(Ga)-0.333 (Rel)0.777 ( 2. 29)
ln a trickle-bed reactor, the flow pattern of water was
investigated by Lapidus (61) and Schiesser et al. (83). The extent
of axial mixing occurring was found to be so small asto justify
the assumption of plug flow behaviour.
Recently, Sater (82) used radioactive tracer technique
which had the advantage of measuring the concentration of a stream
without disturbing the flow patterns. The technique developed by
Aris (2) for measuring the response at two positions, thus doing
away with the necessity of having a precise knowledge of the tracer
input, was applied. Sater claimed to have obtained reliable
results for both liquid and gas under two-phase flow conditions.
Working from the lines of Otake and Kunugita (76) he could cor
relate his data for liquid phase Peclet numbers under two-phase
flow conditions by the equation (2.30)~
[ ~~ ) = L
19.4[ 1/L r-747 (d3g~2)-0,69 (ad}l.97
r L fl L
( 2. 30)
30
However, Sater 1 s correlation, (2.31), for the gas phase Peclet
number under two phase flow conditions predicts values of the
Peclet number to be one-sixth of the values reported by De Maria
and White ( 24).
( ~~ l = o.o585 (adlz.5a ( ïl r.66a x 10-o.ooz59(JJIL (2.31)
De Maria and White (24) found that gas phase Peclet
number decreased with increasing liquid and gas Reynolds numbers.
Their calculated liquid phase Peclet number for Raschig rings were
satisfactori ly correlated by the equation:
( 2. 32)
Since the pioneer work of Danckwerts (20) in 1953 and
Taylor (93, 94) in 1954, there has been considerable interest in
the field of axial dispersion of fluid in continuous flow systems.
Unsteady-state stimulus-response tracer technique has been applied
without exception. Although there has been considerable progress
in the development of theory for these systems, there is an acute
need for new experimenta] techniques and research tools to explore
the micro structure of these flow systems. Brenner (9) and
Miyauchi (72) have presented a mathematical solution to diffusion
madel which does not requi re the assumption of an infinite packed
bed. Mickley et al. (71), in an attempt to elucidate the mecha
nism of transport phenomena in packed beds by making basic fluid
flow measurements of velocity profiles and turbulence parameters,
distinguished between commonly confused (8) eddy diffusivity and
dispersion coefficients. The eddy diffusivity is the proportion-
3 1
ality coefficient between the local rate of momentum or mass
transfer and the time-mean velocity in a turbulent flow field,
whi Je the dispersion coefficient is a constant appearing in dif
fusion models of a packed bed and is a gross property of the bed
which depends on the flow patterns. They compared calculated
values of eddy diffusivity with the dispersion coefficient
obtained from the Jiterature, and showed that eddy diffusivities
are much smaller than either radial or axial dispersion coef
ficients.
The effect of axial dispersion in heat and mass transfer
·studies has been shown by Ogburn (75), Sleicher (89), Epstein (35),
Carberry ( 12), Douglas (28), Levenspiel (63), Stemerding (91) and
Miyauchi (72). From thei r studies it can safely be concluded that
plug flow is a poor approximation in many practical design prob
Jems.
lt is evident from this review that there is Jack of
agreement in the magnitude of the Jiquid phase Peclet number for
a given liquid Reynolds number. ln fact sorne workers (JO) have
questioned the justification of using Reynolds number as the cor
relating parameter on the ground that the fluid viscosity has very
little effect on the dispersion (31). Others {49~ 76) have felt
the necessity of introducing other parameters like packing diame
ter, tube diameter, void fraction, etc. Also, the analyses have
been based on experimental studies for which it has been necessary
to assume a perfect input signal, which of course can never quite
be realized. Peclet numbers were evaluated from the concentration
time response on the assumption that the concentrations were
32
measured directly in the packing at the end of the test section
(5). Needless to say, there does not exist any simple method to
do this, and experimenters have to use measurements taken just
outside the end of packed bed. The errors caused by these dif
ferences between the mathematical madel and practical application
are difficult to estimate. Further, most of the work reported to
date has been with laboratory size equipment and packing. Since
scale up procedure for these flow systems is so uncertain,
Kramers (59) emphasized the need for experimental work in near
industrial size equipment, bath for single as wei 1 as two-phase
flow.
Thus, even though there is much reported data for
single phase flow systems, it is obvious that further experimental
work is needed in which al 1 possible experimental errors are mini
mized. Two-phase flow is inherently more complicated than the
single phase flow and there are relatively much Jess data avai J
able. Further~ the reported results of De Maria (24) and Sater
(82) for the gas phase Peclet number show wide disagreement,
whi le the liquid phase Peclet numbers reported by Otake (76) and
Sater (82) show much scatter with the published correlations.
Even more important, the results of Chen ( 15), Otake (76),
Lapidus (61) and Schiesser (83) do not lead to any generalised
correlation. Abnormally low values of Peclet number reported by
Dunn et al. (30) makes one realise the difficulties to be encoun
tered in two-phase system due to possible flow irregularities in
their system.
1 1 1 •
RESIDENCE TIME DISTRIBUTION AND TECHNIQUES OF EVALUATING EFFECTIVE LONGITUDINAL
DISPERSION COEFFICIENT
1 NTRODUCT ION
33
The purpose of contacting fluids in process equipment
is to modify them one way or the other. The performance of con-. . . .'. tact1ng equ1pment is determined by the flow structure in the
equipment. 1 t has not yet been possible to explore the inter
stices of the bed, because the presence of probes interferes with
the flow patterns and true information cannat be obtained. Also,
fluid flow in a packed bed is difficult to describe mathemat
ical ly, because of the complex flow patterns involved (33, 34,
39). However, experimental methods which have been in use for
some time now in process dynamics and control studies have found
increasing use in the last decade in exploring the behaviour of
process equipment. The stimulus-response technique, though it
fai ls to give the exact flow path in the bed, does however give
partial information about the gross flow behaviour in continuous
flow systems. Specifical ly, the transient response of such a
system gives an indication of how long different elements of
fluid remain in the vesse]. This is not sufficient to give a com
plete description of the flow behaviour, but often is relatively
easy to obtain and interpret. Coupling this information with the
theoretical models of the system, one can evaluate the parameters
of the model which simulates the real situation.
34
The behaviour of ali continuous physical systems can
be approximated by linear differentiai equations. No real system
is exactly linear. lt will be seen later in this chapter that
longitudinal dispersion in packed bed can be simulated by a linear
second-order differentiai equation with constant coefficients.
TRANSIENT RESPONSE
The input signal is simply a tracer introduced in a
definite manner into the fluid stream entering the system. The
transient response methods involve the use of an input signal and
subsequent meas.,urement of the output as a function of time. The
time-variant output signal is then mathematical Jy given by the
Convolution Integral of the system. Step, impulse, sinusoïdal
(cyclic) and random signais have been described in the literature.
Figures 3, 4 and 5 show various input functions and their response
curves. Sine waves (2, 26, 31, 44, 68, 70, 77, 87, 90, 92),
impulse ( 13, 21, 31, 130) and step functions ( 10, Il, 15, 20, 24,
30, 61, 83, 124, 128) have been used to obtain information about
axial dispersion phenomenon.
For flow systems a signal which modifies an intensive
property of the fluid being processed must be used. Of these,
the most readi ly measurable properties are temperature and con
centration. Concentration measurement is straightforward and
easiest of the two and thus has been adopted as a source of signal
in this study.
FIGURE 3
RES PONSE CURVES FOR AN
IMPULSE INPUT FUNCTION
35
w 1.0 Ct>
a-----r-----t--+ PWG FLOW -----1
0 1.0
INTERMEDIATE CASE
DIMENSIONLESS TIME, t 18
FIGURE 4
RESPONSE CURVES FOR A
STEP INPUT FUNCTION
36
e
0
~ (.)
Il
LL
1.0
0
STEP INPUT
INTERMEDIATE
CASE
PLUG FLOW
1 r 1-----
0 1.0
DIMENSIONLESS TIME, t/8
e
2.0
FIGURE 5
RESPONSE CURVES FOR A
SINUSOIDAL INPUT FUNCTION
37
z 0
W!;;:{ 0::> =>z 1-w __..._ a.. :Et( <t
w CJ)
- z .. 0 LIJ a. :e ~ ~
a::
b z w => 0 w a:: LL.
~ 'NOil~~lN3~NO~ ~3~\1~1
38
COMPARISON OF INPUT SIGNALS
Impulse signal requires instantaneous injection of
sufficient amount of tracer into the ingoing stream during a
period of time which must be very short compared to mean resi
dence time, an operation which is very difficult to achieve in
practice. The use of an impulse can however be justified in
cases where average residence time is large compared to the time
of injection. Practically it is difficult to satisfy this con
dition for cases in which short residence times and high flow
rates are encountered. The impulse input is especially useful
when radio-active detection techniques are used. The step input
on the other hand is simpler and more practical to obtain. This
input signal is produced by an abrupt change in tracer concentra
tion. A continuous analysis of the effluent fluid gives an
5-shaped plot of tracer concentration versus time, which, when
expressed in dimensionless form, is generally referred as an
F-diagram { 20). 1 t has been much simpler and accurate in prac-
tice to use step input, e.g. by the use of solenoid or toggle
valve in a tracer injection Jine.
The spread in C-curve and the shape of F-diagram give
an indication of the dispersion as wi Il be shown later. The area
under the response-curve for step input di rectly gives residence
time which can be related to Jiquid holdup of the system. The
mean residence time and liquid holdup is given by:
e = { 3. 1 )
39
= (3.2)
Apaft from step and impulse inputs, the sinusoïdal input
has found extensive application. The use of the sinusoïdal func
tion derives from the fact that although step and impulse inputs
are conceptually very straightforward and easy to use, they tend
to be i naccurate under ei ther of two ci rcumstances:
(i) the mean residence time in the system of interest is
very short,
(ii) the change in concentration in the outlet occurs during
a very small interval of time (i.e. there is a close
approximation to plug flow).
To meet this difficulty Wilhelm (26) and Kramers (58) developed an
alternative method of using sinusoïdal inputs. No direct informa-
tion, like mean residence time, can be extracted from the response.
The mathematical analysis is greatly simplified because of the
continuous nature of sine function. With the use of the diffusion
model, the effective axial dispersion coefficient can be evaluated
from equation (3.3):
(3.3)
Ml X 1 NG MO DELS
lt has already been pointed out that the transient
response in itself is insufficient to give any detai led informa
tion about the flow pattern. Also, it has been impractical to
obtain and lnterpret actual experimental flow patterns. The
rational . design of fixed bed systems requires a mathematical
formulation (or madel) to describe the physical behavid~r of
40
the system. If such a mode! approximates the real flow behaviour,
the response curves predlcted from the madel wi 11 match the
experimental :transient response. Even ln the absence of chemical
reaction, the deve 1 opment of a sui tab 1 e mode 1 wh i ch adequate 1 y
includes the residence time distribution of elements flqwing
through the bed and the various gradients of heat and mass is a
difficult problem. However, even though a mathematical madel may
not include many of the complications of the real system, it may
be satisfactory for sorne particular purposes. Although a poor
madel may contain too many parameters, the number of parameters
used does, nonetheless, give an indication of how closely the
madel predicts the real behaviour. However, whi Je a multi
parameter madel may closely approximate actual performance, the
associated mathematical campi ications wi li 1 imi t i ts usefulness.
For packed beds and tubular reactors it is usually
adequate to assume one-parameter models, since frequently these
are satisfactory for predicting. system performance. Because of
the essentially discrete physical nature of a packed bed, it is
not surprising that attempts have been made to formulate a madel
different from that used to describe the mixing characterfstics
in continuum flow. Sorne of the most common mixing models for
particulate flow systems are described next.
41
MIXING-CELL MOOEL
The mixing-cell model (2, 13, 55, 58, 63, 100, 134)
assumes that the packed bed can be characterised by a cascade of
perfectly mixed cel Js. ln packed columns, the voids are con
sidered to constitute the unit cells for such mixing. At high
Reynolds number flow (turbulent-flow regime), the individual voids
may each approach perfect mixing. Fig. 6 i 1 lustrates this analogy.
ln each ce11, perfect mixing is assumed to occur, such that the
effluent from the cell has the same composition as the fluid at
al 1 points within the cell. ln practice, even if the mixing is
not complete in each void, a series of voids may be represented
theoretically by a m.fxing cel 1 ( 135).
A mass balance on a single component wi 11 result in the
fol1owing differentiai equation:
Vn rn = ven - 1 (3.4)
where Vn = volume of the nth ce11
= rate of production of component
v = volumetrie flow rate.
The volume of each cell times the number of cel Js equal
to the void volume;
( 3. 5)
so that
{ 3. 6) v nv n nu
FIGURE 6
MIXING CELL MODEL
42
C)...l Z...l -LIJ ~ 0 - c:\1 l") • :e
where V = total bed volume
€ = porosity of the bed
h = length of the bed
u = average flow velocity
Substituting equation (3.6) in (3.4), one gets:
h den nu dt
h nu
43
( 3. 7)
The mixing in the bed is therefore characterised by only one par
ameter, n, the number of perfectly mixed cel Js in the bed.
For non-reactive systems which are subjected to an
impulse input, the solution to equation (3.4) by Laplace Transforms
gives the response function, referred to as the C-curve. For a
series of n equal volume, perfectly mixed cells the solution in
dimensionless form is given by:
n Tn-1 -nT c .. n = e ( 3. 8)
(n - 1 ) !
where T = dimensionless ti me, t(j
t = ti me variable
.(} = tota 1 average res i denee ti me
wi th mean f = ( 3. 9)
and variance about mean cr2 = 1/n (3.10)
Further, equation (3.4) for non-reactive systems~ rn = 0, can be
wr i tten as:
den v -- + (3.11) dt vn
44
den n n __ + Cn = en 1 e e -dt
(3.12)
as n vn = (i.v . (3.13)
Equation (3. 12) is a linear differentiai equation, whose solution
(59) for a step change, wi th initial conditions, en = 0 for
t = o(~) and al 1 n, and c0 = fort =0(+), is given by
F( t) = 1 -nT x [ 1 + nT + (nT)~ . - e . . . ..
2J
+ 1 (nT)"- 1] (~.14) {n - 1 ) !
lt is interesting to note that the slope of F-diagram from equation
(3. 14) is in fact the C-curve, given by equation (3.8). For large
values of n, Sti rling•s approximation for the factorial leads to:
(3.15)
(3.16)
This model does not give a di reet indication of the
mixing occuring in the system, but by matching experimental res
ponse curves with those predicted by equation (3.14), it is pos
sible to evaluate n, the number of equal volume perfectly mixed
cells in cascade .. Once n is determined, it isstraight-forward to
make predictions of system performance. The mode! has been
extended to include the case of unequal cells in series ( 132) and
to a three-dimensional array of mixing cells {25). lt will be
shown that the number of equal volume perfect mixers in series,
n, corresponds to one•half of the column Peclet number, which is
the mixing parameter of the diffusion mode!.
DIFFUSiON MODEL,
Mixing in a packed bed is the result of splitting,
acceleration, deceleration, and trapping of elements of fluid
45
as they pass through the bed. if these individual modes of mixing
are repeated a large number of t1mes 1 and if the length over which
a single mixing effect acts is smal 1~ the resulting overal 1 mixing
process can be described by the diffusion mode]. in this mode! it
is assumed that the actual dispersion process in a packed bed can
be described by the same mathematfcal mode! as is used for molecu
lar diffusion, with the additional superposition of a convective
piston flow. Thus, the dispersion is described by a modified form
of Fick 1 s Law, where an effective dispersion coefficient is used
in place of mo1ecular diffusivity.
ln the absence of chemical reaction and interphase
transfer, the general continuity equation describing the concen
tration vartation with time, at any point ln the bed, for a con
stant density fluid, is given by:
utk_ + o (~ + l eSc)= l:k b; r 6~2 r {)r ~ (3.17)
This is second order partial differentiai equation and
it has not been possible to find its solution with the boundary
conditions of the system and the input signal. !n view of the
mathematical limitations, the fol Jowing assumptions are made to
reduce equation (3.17) to a form which can be integrated:
1. Radial concentration gradients are negl igible~ i.e. Dc!O r =O.
2. Radial velocity gradients are negligible so that no radial
mass transport occurs.
3. The quantity of solute transferred by axial mixing is
directly proportional to axial concentration gradient.
4. Effective axial dispersion coefficient is constant ali
along the length of the bed.
46
5. The system is linear, i.e. system response is independent
of amplitude of signal. This also involves the assumption
that no Joss of tracer occurs by adsorption or chemical
reaction with the packing material.
Whi le real systems of industrial scale may deviate
appreciably from the first two assumptions, it has been common
practice in laboratory investigations to distribute the liquid
uniformly over the entire cross-section so that quite a flat
velocity profile is obtained. This also enables one to introduce
a radially uniform input signal. ln fact, previous work (10, Il,
13) has indicated that the radial gradients are smal 1. Whatever
contribution these radial gradients make to the axial dispersion
is included in effective dispersion coefficient, DL, and hence
is a source of discrepancy between results obtained with different
columns.
A simplified form of equation (3.17) has been obtained
as follows. Considera material balance over a thin section of a
packed bed as shown in Fig. 7.
Input - Output =Accumulation - Production
-0
L ~: x + uc L - [-0 L tx L + 6x ] ,. uc lx
+6x
= ~ 6x- r6x (3.18)
FIGURE 7
MATERIAL BALANCE COMPONENTS OF THE DIFFUSION MODEL
47
ACCUMULATION • l-f â x
R ATE OF PRODUCTION • r â ~ JFLOW
-0: ~ uc 1
VOLUME x OCCUPIED
BY __ l_l_~ PACKING - âx --
j_ AND ------- t l l OTHER
PHASE -oll uc bX
l~ 1 _~ .. _E~_....:j
whence, be
r - b t
48-
(3.19)
which for r = 0, i.e. in the absence of chemical reaction, reduces
to the form:
( 3. 20)
This simplified form of equation (3. 17) and its solution has been
widely discussed in the literature (4, 9, 20, 46, 59, 63, 84, 108,
131, 133) for a variety of boundary conditions. Whi Je Kramers
{59) gave the solution for a sinusoïdal input, the solutions given
by Danckwerts (20) and others refer to a step input function.
Danckwerts gave solution for an infinite bed whi le the solution
given by Aris (4) is for semi-infinite bed. However, the most
general finite-boundary solution for a finite bed, with approp
riate boundary conditions at the inlet, x= 0, for a step change
in concentration from c 0 to 0, was published in 1962 by Brenner
( 9).
Consider the mixing process occuring at the inlet to
the bed. With steady state flow conditions (i.e. no accumulation)
at the inlet (x= 0), the rate of removal of tracer from just
inside the bed inlet by diffusion and convective plug flow is
equal to the rate of arrivai of tracer from the outside by con
vective plug flow, so that:
uc(O-) = uc(O+)- DL t:<o+l, x= o, t>o (3.21)
49
Simi lar materlal balance at the outlet, x= h, gives:
uc(h+) = uc(h-) - DL ~~ (h-) (3.22)
With a purging step, regardless of the mechanism of material trans-
port, one can never have a downstream concentration lower than an
upstream value (20, 108). Thus the solution of equation (3.20) is
requi~ed for the case of only positive values of ~, i.e.
c(h+) :> c(h-) for a feeding step and c(h+) <: c(h-) for a
purging step. This requires occurrence of an extremum (maxima or
minima) of concentration somewhere in the bed. The only phys
ically acceptable condition is that at x= h,
D ~ c = 0 ~ for a 1 1 t )0 ( 3 . 2 3) L bx
and since DL ~ 0,
be bx = 0, x = h, t>O (3.24)
and hence c(h-) = c(h+)
The initial conditions for a step input of tracer from c 0 to 0
are:
c = 0'
c = c 0 ,
x< 0,
x > 0,
t = 0
t = 0
The solution to equation (3.20) as given by Brenner (9) is:
( 3. 25)
( 3. 26)
50
F(t) = c/c0 = 0.5 erfc[ 0.5(N/T)0 ·5 ( 1 - T)]- (NT/ff)0.5 x
x [3 + 0.5N (1 + T)J-exp [- 0.25N (1- T)2/T] +
+ [0.5 + 0.5N(3 + 4T) + 0.25N2 ( 1 + T) 2) x
x exp (N).erfc [o.5(N/T)0 ·5 (1 + T)] (3.27)
Figure 8 shows this solution for different values of columnPeclet
number, N. By compa~ing these plots with the experimental tran
sient response, one can evaluate Peclet number, N, for the system.
Brenner•s finite boundary solution, which takes into account the
diffusional ~aterial transport both at the inlet and exit of the
bed, is part,cularly useful for a system which approaches almost
perfectly mixed stage (N--o). For column Peclet number, N,
greater than 20, the unbounded solution (infinite length) of
Danckwerts {20) gives practically the same resultas equation
(3.27). Further, for the unbounded solution, the variance is
given by;
( 3. 28)
which by comparison with equation (3, 10) gives,
N = 2n (3.29)
i.e., the column Peclet number is twice the number of equal vol-
ureperfect mixers in cascade.
STATISTICAL RANDOM WALK MODEL
The mode! proposeq by Einstein (32), and which has been
discussed by Cairns and Prausnitz (11), Dunn et al. (30), and
Jacques and Vermeulen (50) 9 considers the motion of corpuscles
FIGURE 8
THEORETICAL BREAKTHROUGH CURVES FOR VARIOUS COLUMN PECLET NUMBERS
51
z 0 -ti a: 1-z L&J 0 z 0 0
L&J 1-~ ..J 0 (1)
1--x I.LI
·8
·6
·4
·3
·2
·10
·08
·06
·04
P•œ 10
0 ·5 1·0 1·5 2·0 2·5 NUMBER OF DISPLACEMENTS
52
of tracer material in the main stream fluid. The mixing process
i s descri bed as a sequence of 11 motion 11 and 11 rest 11 phases. The
motion phase is considered to require much Jess time than the
rest phase. For a packed bed the motion phase may be taken as .'
the period when the fluid element is passing at high velocity
through the narrow constriction between the particles, and the
rest phase as the period when it is in a void space.
The mode! is constructed by considering the probabi lity
that a given tracer corpuscle wi 11 be at a given longitudinal
position, x, from the entrance to the bed, after a certain period
of time, t, since introduction. This probabi lity is expressed
mathematically by the following equation:
P(x,t) dx dt= e-x-t dx dt ( 3. 30)
If equation (3.30) is applied to a consecutJve set of n motion
phases and n rest phases, then the probabi 1 i ty of fi ndi ng a
packet of fluid at a relative position x= N mixing lengths away
from the inlet in its random walk, and at relative time t = t 1,
is given by:
p(N,t 1 ) = Y:00
[exp( -N-t1)] N~ . t1n
n = 0 n. n! . (3.31)
Equation (3.31) can be converted to a continuous function of the
form
( ) - N - T 1 .... ,.--;-;:;:-; p N ,T 1 = e 1 0 ( 2 v NT 1 )
which is the impulse response or C-curve for the system.
response to a step input at time t 1 = 0 is then given by:
(3.32)
The
FN(T) - Il' e-N-t' 10
(2-..[Ntô) dt' - 0
53
(3.33)
where 10 is a Bessel function of zero order and first kind of an i
imaginary argument. A good approximation to the integral equation
(3.33} has been obtained ( 136) in the form:
FN(T) =o.~ [1 + erf <VT" -"{N- 0,125/;f'f' -0.125t'V'Ni] ( 3. 34)
From a comparison of equation (3.34) with the solution of diffu
sion mode! at large x and t, it is found that the mean mixing
length, 1, is defined by equation (3.35):
so tha t
N = xl 1 = xu/DL
r• = ut/1 = u2t/DL
T = T 1 /N = ut/x
( 3. 35)
(3.36)
( 3. 37)
(3.38)
A comparison of equation (3.36) and (3.29) would show that the
size of n equal volume perfect mixers in cascade corresponds to
twice the mixing length.
The fami liar breakthrough curve for a step function
input is obtained by plotting FN(T} versusTfor a given value of
N. By numericaJ approximation-{50) for sufficiently large N,
the column Peclet number, N, is found to be related to the mid
point slope, s, by
N = 4T(s2 - 0.8
where s = (dF/dt)F=o.s x t 0 .5
(3.39)
(3.40)
54
Equation (3.39) is the final equation which has been used in
this study for the purpose of computing Peclet number. ln fact,
the Peclet number obtained by this madel is essential ly the same
as given by Diffusion mode!, especially when there is not much
mixing in the system, i.e. for systems which are closer to the
plug flow limit than they are to the completely back-mixed limit.
Further, equation (3.39) indicates that this method of determina
tion of the Peclet number is very convenient as it requires con
siderably Jess calculations than other methods (4, 13, 26, 31,
48, 92, 104, 123). The finite-boundary diffusion mode! and the
random-walk have very simi Jar midpoint-slope values ( 135). A Iso,
breakthrough curves given by the two models have qui te simi Jar
shapes over thei r entire range. For practical purposes, there
fore, the two models may be said to yield identical results.
55
IV. EXPERIMENTAL APPARATUS AND OPERATING PROCEDURE
EQUIPMENT
Flow System
A schematic drawing of the packed tower and accessories
is given in Fig. 9.
The 2' long test sections were made of 12-in. I.D.
flanged pipes of plexiglass and aluminium. The packing support
grid was Jocated between the gasket and flanges connecting the
gas distribution system to the column test section. The packing
support consi sted of a screen placed on a 2" x 3" rectangular
grid of 1/8-in. iron strips. Five conductivity probes were
placed just below the screen, and were mounted on travelling
supports which enabled probes to be placed at any radial posi
tion. The probe tips were always 1.0 cm. below the supporting
screen.
A cylindrical tee, 12" x 12" x 18", connected to a
hol low cylindrical section placed above the packed section provided
ample de-entrainment space. The liquid distributor was connected
through this tee so that the outlet of the liquid distributor was
just above the 2' section of packed bed. The liquid supply system
permitted the use of water flow rates from 1500 to 10,000 lb./
(hr.-sq.ft.). A spider type liquid distributor allowed ample free
space for the passage of exit gas. The distributor, as shown in
Figure 11, consisted of 52 1/8-in. O.D. copper tubes connected to
a 1 -1 /2" di ame ter by 1" deep brass box. The sma 1 1 si ze of brass
56
FIGURE 9
FLOW DIAGRAM OF THE EXPERIMENTAL SET-UP
FIGURE 9. FLOW DIAGRAM
A Air Fi 1 ter
B 0 rif i ce P 1 a te
C lnclined Manometer
D Blower
E Control Damper
F Air Distributor
G Calming Section
H Conductivity Probe
Packed Section
J Loading Port
K Water Distributor
L Tracer Solenoid Valve
M Quick Opening Valve
N Tracer by-pass Solenoid Valve
P Pressure Tap
Q Water Rotameter
R Water by-pass Solenoid Valve
S Tracer Rotameter
T The rmome ter
U Water Strainer
V Tracer Storage Tank
W Nitrogen Cylinder
X Leve 1 Gage
Y Leve 1 Gage
tl&J .J z -
57
FIGURE 10
PHOTOGRAPH OF EXPERIMENTAL SET-UP
box helped to obtain a sharp step input. The small diameter
tubes were chosen so that they remained fui 1 even when not in
use. The tubes of the distributor extended within 1/4-in. of
58
the column wall. The flow rate was essential ly zero at the
column wal 1. The flanged cover on the cylindrical tee was used
to center the distributor in the column. Figure 12 shows the
percentage deviation of the flow rate in a given section of the
distributor from the average flow rate corresponding to a uniform
flow profile. 1 t i s apparent that a good uni form di stri but ion
was obtained with this system.
A 24-in. high converging cone above a 24-in. diameter
cylindrical section helped to obtain a flat gas velocity profile.
lt was realised that this conical section alone would not be
sufficient to obtain uniform gas distribution. Thus 1 the hori
zonta! gas flow from the blower was directed upwards by a bundle
of 32, 2-in. diameter aluminium tubes. Further the diameters of
these tubes were adjusted to obtain an even gas distribution
across the cross-section just below the packed bed. Flatness
of velocity profiles were tested using a constant current hot
wire anemometer in two perpendicular directions. Air flow rates
of up to 1000 lb./(hr.-sq.ft.), i.e. 160 s.c.f.m., could be
obtained with this system under normal operating conditions.
Figure 13 shows the photograph of air distributor. The air flow
rate was metered by an orifice meter with radius taps installed
in the suction line of the blower.
The tracer used was O. IN solution of potassium chloride.
Pressurised nitrogen was used to force the solution through the
59
FIGURE Il
PHOTOGRAPH OF WATER DISTRIBUTOR
FIGURE 12
INLET FLOW PROFILES FOR VARIOUS LIQUID MASS VELOCITIES
60
WALL
+10
t. WATER FLOW RATE, lb./ hr.
5 4: 3 2 2 3 4 5 6 7 . 8060
WALL
5740
3600
1395
SECTION NUMBER
61
rotameters to the instant-action Hoke two-way solenoid valve.
The solenoid valve was attached just above the brass mixing tee.
The injection nozzle was 0.0611 in diameter and was placed along
the centre line facing the incoming flow of water so that the
tracer line remained fui 1 of the tracer solution between experi
ments. An automatic timer and switch provided a remote control
for the solenoid as weil as a simultaneous record of the exact
time it was switched on or off.
The packing characteristics are shawn in Table 11.
1 nstrumen tati on
Electrical conductivity method was used to measure
the concentration of tracer. This choice was guided by the
requirement of accurate, rapid and continuous monitoring of
tracer concentration in the water stream. The signais from the
concentration cells were recorded on a 14-channel 11 Visicorder 11,
an instrument which uses highly sensitive, electromagnetical ly
damped galvanometers. The signais that enter the Visicorder
are converted into moving beams of light by moving mirror
galvanometers and are focussed on to the photo-sensitive paper.
The paper speed could be adjusted at any one of the four speeds
of 25, 5, 1 and 0.2 in./sec. This along with an averaging
amplifier provided a high speed response recording system and
was found very satisfactory for the purpose. Cairns and
Prausni tz {JO, 11), Hennico et al. ( 135) and others have used
simi Jar concentration measurement techniques in their respective
s tud i es.
62
FIGURE 13
PHOTOGRAPH OF A 1 R D 1 STR 1 BUTOR
63
TABLE 11. PACKING CHARACTERISTICS
1 . Nominal di ame ter, in. 0.5 1.0 1.5
2. Equivalent diameter, ft. 0.01975 0.02613 0.04111
3. Porosity, dry packed. 0.541 0.726 0.731
4. Pieces per cu. ft.' N t 1200 1250 352
5. Surface a rea, a, ft. 2/ft.3 139.3 63.0 39.35
6. Outsi de di ame ter, cm. 1. 303 2.680 3.972
7. 1 n s i de d i ame te r, cm. 0. 705 1 .850 2.873
8. Hei ght, h, cm. 1. 235 2.460 3.746
9. A rea pe r pi ece, sq. cm. Il .56 46.85 10 3. 95
10. Volume per piece, cu. cm. 1 . 16 7.33 21.62
Il. S tati c Ho 1 dup, cu. ft.
Hs, cu. ft./ 0.0326* 0 .o 149* 0.00893*
*Data of Shulman et. al. (85)
64
Conductivity Probe
The conductivity cel 1 consisted of two 1-mm. diameter
platinum electrodes embedded in a I-mm. slotted cylindrical body
of 1-cm. diameter x 1.3-cm. long. Each probe was constructed by
immersing a U-bend of platinum wire of 1-mm. diameter x 1.2-cm.
long, into liquid Epoxy resin in a cylindrical mould. After the
resin had set the solid body was machined to the desired size
and shape, and was slotted at the U-bend, cutting a I-mm. gap in
the platinum wi re perpendicular to i ts length. Because of the
smal 1 size of the probe, it was possible to measure the concen
tration of as smal 1 as 1-cu.mm. of fluid almost instantaneously.
For operation in counter-current air-water flow system,
it was necessary to keep a continuous flow of liquid through the
electrodes, a requirement which presented sorne difficulty at high
gas flow rates. A liquid col Jecting deviee as shown in Figure 14
was used for this purpose. A flexible vinyl tube at the lower
end of the collecter provided a siphoning action. An adjustable
pinch cock was used to keep the tube and electrodes fui 1 with a
continuously flowing water stream. ln order to avoid electrical
interference ( 11cross-talking 11) due to the presence of ether
probes in the water stream, it became necessary to put a thin
brass sleeve over the solid Epoxy probes. When the same voltage
which was tmpressed on the electrodes was also applied to this
sleeve, a considerable improvement was obtained in cell perform
ance over that of unshielded cel ls, presumably because of the
elimination of stray currents which would otherwise exist between
unshielded cells.
65
FIGURE 14
PHOTOGRAPH OF CONDUCT 1 V 1 TV PRO BE ASSEMBLY
66
Electronics
The basic electronic circuit used to measure the con
ductivity is shown in Figure 15. Slmi Jar net work has been
successfully employed by Cairns and Prausnitz (11), Dunn et al.
(30) and ethers (58, 135). A constant voltage JO kc osci llator,
used as the audio range a.c. voltage source, was connected across
the conductivity çeJJ and the current detecter resistor, r. If
ris chosen to be small compared to the resistance of the solu
tion, the voltage across r is proportional to the current through
it, which in turn is proportional to the conductance of the solu
tion in the cel 1, 1/R. For the present study, r =51 ohm was
chosen so that it was only 2% of the smallest value of R encoun
tered. The voltage Vr, was amplified and demodulated, resulting
in a voltage which was directly proportional to the conductance
of the solution. The use of an adding circuit allowed the signal
from a reference cel 1 placed in the water stream entering the
test section to be subtracted from the signais of the cel ls
measuring conductance at the bed outlet. The net resulting d.c.
voltage signal was used to drive a moving mirror-type galvanometer
in Honeywell's Hei land type 906C Visicorder. The galvanometers
had a high sensitivity of 1.19 mv./inch, and a very low time
constant which depended on the resistance of the external circuit.
Because of these special features of high sensitivity and very
low time constant, it was possible to obtain accurate records of
concentration of the emerging solution streams.
Since a single probe in a 1-ft. diameter column can
hardly be expected to give the true picture of the actual response
FIGURE 15
BASIC CIRCUIT DIAGRAM FOR CONOUCTIVITY MEASUREMENT
67
e
IOKC.
OSCILLATOR
--
CONDUCTIVITY CELL
r
AMPLIFIER
DEMODULATOR
A ODER
REFERENCE REF. REF. CELL
r --
e
14-ch. VISICORDER
of the system, it was decided to use as many as five probes
located at random at five locations at the end of the bed to
obtain a radially averaged concentration. For this purpose,
68
the amplifier-demodulator network was designed to accommodate
six simultaneous signais from the probes, and a separate averag
ing circuit was used to obtain the arithmetic mean of from one
to five individual signais. These individual signais as wei 1 as
averaged signais could be recorded on the Visicorder simultane
ously. Also, an automatic timer and remote control solenoid
switch were incorporated into the system. Thus, a sharp pip
was obtained on the recording paper each time the solenoid valve
was switched on or off, thereby indicating the exact instant of
imposing a step function input on the system. Figure 16 shows
photographs of the six-channel ampliffer-demodulator with JO kc
osci 1 Jator and associated power supplies. The detai led circuitry
appears in the Appendix 11. The equipment required about 45
minutes to get stabi lized. The operating procedure as indicated
in Appendix 11 had to be followed strictly for an accurate nul 1
adjustment before making any experimental runs.
Figure 17 shows the Jinearity of Visicorder response
for different potassium chloride concentrations. The !east
square line gives the net Visicorder deflection for a given salt
concentration. The high speed response characteristic of the
system as a whole is indicated by the fact that 62.3% of the
final steady state value was attained for any step in a time
interval of 0.041 seconds or Jess.
FIGURE 16
PHOTOGRAPHS OF SIX-CHANNEL AMPLIFIER DEMODULATOR
69
-
FIGURE 17
VISICORDER RESPONSE VS. SOLUTE CONCENTRATION PLOT, SHOWING THE
LINEARITY OF THE MEASURING SYSTEM
70
.d -~ :::; ~ .d -1 ., 0 -z 0 -~ v 0: tz LLI u z 0 u
N 0: LLI u <[
' a: \ - t-\ \ \ \
NOISIAIO - 9NIOV3Y Y30~0~1SIA
7 1
EXPERIMENTAL PROCEDURE
ln order to obtain consistent and reproducible data,
the experimental procedure was standardized so that the runs
were made under identical conditions throughout the investigation.
The step change in tracer concentration was used rather
than a pulse input since it was impractical to injecta pulse of
sufficient amount in an interval short enough relative to the
mean residence time. Further, a sudden pulse of tracer would have
disturbed the flow pattern in the packed bed. The mean residence
time varied from 2 to 15 seconds depending upon flow rates of
liquid and gas and packing diameter. Both feeding-in and purging
out step changes of concentration were used in the evaluation of
Peclet Number from the resulting F-diagrams. Figure 18 shows the
response to purging and feeding step input. lt can be seen that
the deviation between the two response curves is practical ly
negligible. The mean residence time from both types of input
were found to be nearly the same. For the purpose of i 1 lustra
tion, Figure 18 has been drawn using dimensionless coordinates.
lt was also found that the amount of entrainment is
negligible so that the water flow rate could safely be assumed
to remain constant.
The tower was dry packed by dumping packing from the
top with intermittent tapping. The voidage of the packed section
was measured by fi 1 ling the column with a known volume of water.
The volume of water in the voids was then the difference of
actual volume of water used and the empty volume of the packing
FIGURE 18
COMPARISON OF PURGING AND FEEDING STEP INPUTS
d = 0. 5 inch p
d = 1 0 inch p .
dp = 0.5 inch
72
e e
z 1.0 0 -~ 1-- .8 z LLJ (.)
~ .6 (.) L, tb. /(hr. sq. ft.) : 7895
en f3 _. .4 z 0
G, lb./(hr.sq.ft.): 0
'"*" • FEEDING BED HEIGHT, ft. ' 2 ....
0 PURGING -dp, ln. 0•5
-Cl)
~ .2 :E -ca ..
0 (.J
' (.J 0 .4 .6 .8 1.0 1.2 .2 1.4 1.6 1.8
t/8, DIMENSIONLESS TIME
e
z 0
~ a: ~ z
~ 0 (.)
en cn LLI _J z 0 ën z
1.0
.8
.6
.4
LLI :E .2 -0
... 0
(.)
' (.)
- - -1
~
1
1
1
0
e
-r. . .
L, lb./( hr. sq. ft.) = 3950
'1. G, lb./lhr.sq.ft.)' 0·
BED HEIGHT, ft: 2
dp t
. 1n. --\
0 FEEDING
\ • PURGING
.4 .8 1.2 1.6 2.0 2.4
t/8, DIMENSIONLESS TIME
e e
z 1.0 0 - L, lb. 1 (hr. sq. ft.) 7895 tt :
0::: G, lb. /( hr. sq. ft.) : 0 ..... .8 BED HEIGHT, ft. 2 z :
LLJ dp, in. : t· 5 (.)
~ .6 ï ~~ SYMBOL (.)
(J) 1 - 0 FEEDING (J)
. 4 L ~ • PURGING LLJ _J z 0 ëi)
.2 z LLJ ~ ë5
0 (.)
0 .2 .4 .6 .8 1.0 1.2 1.4 1.6 1.8 ' c.J
t 18, DIMENSIONLESS TIME
73
g.rid. The mean values of porosity thus measured and other packing
characteristics are shown in Table 11 .(p. 63).
A further check on the applicabi lity of transient res
pense technique for investigating mixing characteristics in packed
beds was provided by indirect liquid holdup measurement. The
mean residence time for each flow rate was obtained by integrating
the F-diagram obtained using the step change in concentration of
KCl tracer. This was then corrected for end effects which are
described later in this chapter. The total liquid holdup obtained
from equation (3.2) compares very well with that reported by
Shulman et al. (85) and Sater (82) and is as shown in Figure 19.
The fact that this indirect determination of total liquid holdup
agrees quite closely with that of direct measurements by liquid
collection method further ensures the suitabi lity of this tech
nique for the present study.
To inject tracer solution, the tracer reservoir was
pressurized to about 5 psi higher than in the water line. After
the water was turned on and steady state attained, the conductiv
ity cel ls were adjusted to proper positions. The flow rates,
through the liquid collecter where the conductivity cells were
located, were adjusted so that the cells always ran full.
As described earlier, one hour was al lowed for the
amplifier-demodulator unit to become stabi lized. Zeroing was
then done for no signal input to the unit. The range adjustments
on the Visicorder were done by imposing a feeding step,input of
pota$ium chloride tracer concentration and adjusting the volume
FIGURE 19
COMPARISON OF LIQUID HOLDUP
1 N PACKED BEDS
74
"'tJ CD
..c • .... .,._ •
:::J CJ
' • .... .,._ ::; CJ
... a. :::>
1
c _. 0 J:
c -:::> 0 -_.
..
•
J
2 ~ BED HEIGHT, ft. 1 2
dp = 0•5 in. • e dp = 1.0 in. ...
1.~ t dp • 1·5 ln. • c;>
6 1- 0
4 1-
-o
2 1-
Î 1 1
DATA OF SHULMAN
0 ET AL.
~ie~ -o o- e o&
0 0 0~ :t!-o ., ... ~.cre ~ 9.._ J o-
-o ~ -o ~ o-Y
<ro-G, lb. /(hr. sq. ft.) : 0
WATER TEMP. '70 °F.
~ 0.01 1 1 1 1 1 1 1 1 1 1
2 4 6 81000 2 .4 6 810000
L, WATER MASS VELOCITY, lb. /(hr. sq. ft.)
e
-
-
--·
-
75
control of each of the five galvanometers so that each ~t~flected
to the same extent. When the tracer input was discontinued, ali
the 1ight spots from the galvanometers should return to the same
position as before the injection. ln the case where they fai 1
to do so, the potentiometer contro11ing the amplitude of the
signal from the reference cell to each of the five channels was
adjusted to bring al 1 or at !east one to the initial zero posi
tion. The feed-back potentiometers of the remaining channels
were then adjusted to bring back ail the light spots to the zero
position. The procedure was repeated unti 1 the deflection of
each of the five channels became exactly identical.
For taking any run, the water flow rate through the
column was started at a predetermined constant value and the
system allowed to come to a steady state for at !east 15 minutes.
A water level indicator at the bottom of the column provided a
further indication of when steady state h9s been attained. The
step input of tracer was started by throwing the solenoid valve
open. The tracer was al lowed to flow into the column unti 1 the
exit concentration at al 1 the sample points reached a steady
constant value. At this stage the valve was de-energied to
obtain purging-out tracer breakthrough curve. ln most of the
runs a paper speed of !-inch per second was found to be quite
adequate.
For the first part of the study, the experiments were
performed without any counter-current air flow. Figure 20
illustrates a typical set of experimental response curves for
this case. The purpose of these experiments was to provide
FIGURE 20
EFFECT OF LIQUID FLOW RATE WITH NO GAS FLOW ON TYPI CAL RESPONSE CURVES
dp = 0.5 inch
dp = 1 • 0 inch
dp = 1 .5 inch
76
e e
~ 1.0 -t:f G , lb. 1 ( hr. sq. ft. ) : 0 ~ BED HEIGHT, ft. 1 1 z .8 LIJ d P, in. . 0•5 . (.) z 0
.6 ~ A\ B\ C\ \ L, lb./( hr. sq. ft.) (.)
en A 9865 en B 5920 LIJ ..J
.4 ~ \ \ \ ""- c 3950 z 0 D 1975 -en z IJ.J .2 ~ -0
... 0
u
' 0 2 4 6 8 10 12 14 16 18 u
TIME, SECONDS
e e
z Q 1.0 !ct G, 1 b./( hr. sq. ft.) : 0 c::
BED HE IGHT, ft. 2 1- ' z .8 d p' in. w
(.) z
.6 f ~~ \ \ L, lb. /(hr. sq. ft.)
0 (.) A 9865
Cl) 8 5920 Cl)
1 \ \ \ \. c 3950 w _J .4 t" \ \ \ \. D 1975 z 0 -Cl) z w .2 ~ -Cl
0 <J
' <J 0 2 4 6 8 10 12 14 16
TIME, SECONDS
e e
z Q 1.0 !::(
G, lb./( hr. sq. ft.) a: 1 0 1- BED HEIGHT, ft. 1 2 ~ .8 d p • in. • 1•5 (.) z L, lb. 1 ( hr. sq. ft.) 0 (.) .6 A 9865
- - - B 7895 Cl)
~ .4 1 't~~ '\ c 5920
D 3950
Q Cl) z ~ .2 ë5 ..
0 0
' 0 0 2 4 6 8 10 12 TIME, SECONDS
dispersion data for water flow through an absorption column.
Further, since the effect of gas flow rate was to be studied,
this provided a reference point for comparison of later runs.
Experimental data and calculated results for runs without gas
flow are listed in Table 111 of Appendix 1. Figure 21 shows
the dependence of experimental response curves on particle
di ame ter.
77
For the second part of the study, experiments were
conducted with a large number of combinations of gas and liquid
flow rates. The time al lowed for the flow conditions to attain
a steady state was increased to about 20 minutes for each run.
Experimental data and calculated results for the counter-current
flow of air and water are listed in Table IV of Appendix 1.
Figure 22 shows the dependence of experimental response curves on
gas flow rate.
Further, to investigate the effect of packed bed height
on axial dispersion, the runs were carried out at packed bed
heights of 1 and 2-ft. Figure 23 i llustrates the typical res
pense curves for the two packed bed hei ghts.
Average residence time for each run was obtained from
equation {3. 1} by numerical integration of the digitised analog
records from the Visicorder. The integrated values of average
residence time were corrected for the end effects due to mixing
in the water distributor and delay due to the empty section.
The end effects were determined by finding the resi
dence times in beds of decreasing height at a number of water
mass velocities. The difference of residence time in bed of
FIGURE 21
EFFECT OF PARTICLE DIAMETER ON TYPiCAL RES PONS E CURVES
d = 0.5 inch p
d = 1.0 inch p
d = 1 . 5 inch p
78
z 0 ij a:: 1-z LLJ (.) z 0 (.)
(/) Cf) LLI ...J z 0 00
e
1.0
.8
.6
.4
z ~ .2 -c
... 0
()
' ()
1 ~·
1 l.l ' - -
1- "" L ""\ \
0 2 4
e
~ . . . .
L, lb. /( hr. sq. ft.) : 5920
w G , lb. /( hr. sq. ft.) 1 0
BED HEIGHT, ft. : 2
SYMBOLS dp, in. h Q 0•5
0 1.0
\._ 0 1.5
6 8 10 12 14 16 18
TIME, SECONDS
FIGURE 22
EFFECT OF GAS FLOW RATE ON TYPICAL RESPONSE CURVES
dp = 1.0 inch
d = l . 5 inch p
79
e e
~ 1.0
~ L , lb. /(hr. sq. ft) -: 1975 0::: BED HEIGHT, ft. : 2 ...... 8 z dp , in. w (..) SYMBOL G , lb./(hr. sq. ft.)
~ ~~ ~ ~~ C> 704 (..) .6 ~ <D 553
(/) 1 0~ ~ ~" Q 390 (/)
~ .4 r """ . '\.... m_~_ • 197 z
1 Q •- ~ um~ o 0 0 ëi5 ~ .2 ::?! a
.. 0 0
~ 2 4 6 8 10 12 14 16 18 20 (.)
TIME, SECONDS
-..: ... 0
. C\1 Il) c::r C\1 C\1 . .,
en - ..: -Il) .1:
~ . 0 (J) Il) .0 0 .. .. .. - -. .. ~ CX) 0 - .. C) . ... -... ... .. crt-., :a: ..J C)
. (/) ..: c 0
.1: - ·- m a LLI • 0 () 0) - :a: .. :lE z .......
.d a. >- 0 0 , (/) - (.) .,LLJ
..J m L&J (.0 (/)
.. L&J ::E -v 1-
C\1
0 (X) (.0 . C\1 v
• . .
NOil~~lN3~NO~ SS31NOISN3~1G ' 0~1~
80
zero height {obtained by extrapolating the above data) and the
timé of free fal 1 was used to correct the integral residence
time. lt has been shown (15) that the mixing occuring in the
external s~ction is negligible and as such no attempts have been
made to account for it. Figure 24 shows the end corrections
applied as a function of 1 iquid mass velocity. Further, it has
been assumed that the presence of gas phase does not affect the
above end correction, which has been determined at zero gas flow.
The total Jiquid holdup was then determined by equation
{3.2). Statistical Random-walk mode] has been used to evaluate,
from the mid-point s !opes of the breakthrough curves, the mi xi ng
parameter, N, also commonly cal led column Peclet number. Also,
a number of experimental curves were transferred to a dimension
Jess semi-logarithmic plot and the resulting curves were compared
with the computer-plots of the solution of finite-boundary dif
fusion mode! to evaluate N. 1 t was found that the Peclet number,
N, thus determined was very much the same as that obtained by
using mid-point slopes of breakthrough curves in equation (3.29).
lt was, therefore, decided to use mid-point slopes for the evalu
ation of column Peclet number.
The packing Peclet number which takes account of the
size of packing is computed from
( 4. 1 )
For any particular run, the effective axial dispersion coefficient,
DL, was calculated from the knowledge of other variables, viz. u
and dp.
FIGURE 23
EFFECT OF PACKED BED HEIGHT ON TYPICAL RESPONSE CURVES
h = 12 inch
h = 24 inch
81
~ U') 0 U')
1-<.0 . (X) 0 ::J: en <!) -LLJ
::J: . C\J -.. .. .... "' -0 - LLJ - al ,..: . -.... .... .
0" . . en 0" c:: _j 0 en ·-..: 0 -.c ...: .. al - .c a. ~ • 0 (/)
........ -........ ., >- 0
.ci . Cl) z - .c
"' .. a> 0 ..J (!) (.)
w (/)
.. <.0 w
:E -1-
v
0
0 . (X) . <.0 . C\J . v . -NOil'i~lN3~NO~ SS31NOISN3V\IIO ' 0 010
e e
z 0 1.0 -ti L, lb./( hr. sq. ft.) : 3950 a:: 1- .8 z G , 1 b . 1 ( hr. sq. ft. ) : 0 w dP.' in. : 1•5 (.) z 0 .6 (.) r ~ \ SYMBOL BED HEIGHT Cl) ft. Cl) w _J .4 L '"< ' • 2 z 1 Q '- 0 Q Cl) z w .2 ~ ë5 ..
0 (.)
0 1 2 3 4 5 6 7 8 9 ' (.)
TIME, SECONDS
FIGURE 24
END EFFECT CORRECTION VS. LIQUID MASS VELOCITY
82
.,..._ •
8 .... ....
• ..J g. 0"' 0 Cl)
m - • .... :eoe .J: >-
' Cl) . ..0
r:! c.o -·- lt) .. • lt) .. a.O~ >-"0 1::: u
v 9 w > Cl) Cl) <(
(\J ::E
0:: w !ëi 3=
0 .. 0 ...J 0
lO 0 (X) v ro . - . . 0
SON0~3S '3~11
83
Equipment for the facile reduction of experimental data
were not avai Jable and considerable difficulty was encountered in
data reduction. The primary problem in the data reduction stemmed
from digitizing the data manual ly. lt is the feeling of the author
that with automatic analog-to-digrtal conversion capabi lities, the
data reduction could be accompli shed relatively easi ly.
V. CORRELATION AND DISCUSSION OF EXPERIMENTAL RESULTS
The information to be obtained from the expèriments
carried out in this work can be placed under two categories:
1. Determination of liquid holdup by transient-response
technique and to compare the results with directly
measured published values for confirmation of the
validity of the experimental technique.
1 1 Correlation of the effect of operating factors on the
axial dispersion in packed beds.
HOLDUP
84
As a comparison with results avai Jable in the literature,
the total liquid holdup, HT• is plotted versus the liquid mass
flow rate, L, on Figure 19, along with the data of Shulman,
Ul Jrich and Wells (85). The total liquid holdup values in the
present investigation have been obtained from average residence
time with the use of equation (3.2), whi Je Shulman et al. deter
mined the total holdup by weighing the entire packed tower. An
inspection of Figure 19 shows good agreement with the values
reported in the literature.
Referring to equation (2.6), Otake and Okada (78) found
that the operating holdup is given by:
Hop= 1.295 (~)0.676 (d~;:~2)-0.44 (adpl
= 1.295 (Rel)0 · 676 (Gal)-0 · 44 (adp) (2.6)
85
ln order to calculate operating holdup from total holdup with
the equation;
= Hl - Hs ( 2. J )
a knowledge of static holdup, H5 , is essential. The values of
static holdup were therefore taken from the data of Shulman et
al. (85) who made direct measurement of static holdup. The values
used are:
1/211 Raschig rings, Hs = 0.0326
, .. Raschi g rings, Hs = 0.0149
1-1/2 11 Rasch i g ri n gs, Hs = 0.00893
Otake and Okada (78) were able to correlate their ope rat i ng holdup
along with the data of ether investigators (33, 34, 86, 99) to
within a range of~ 15% using equation (2.6). Experimental data,
given in Table 111 of Appendix 1, were therefore converted to the
form given by equation (2.6) and are shown in Figure 25. The
solid line represents Otake 1 s correlation. Also plotted are the
results of Sater (82) and Shulman et al. (85). Since the results
of the present study along with those of Sater and Shulman do not
contradict Otake's correlation, it can be inferred that equation
(2.6) gives reliable estimates of the operating holdup. lt
further demonstrates the suitabi lity of the transient response
technique for the present investigation.
86
FIGURE 25
OPERATING LIQUID HOLDUP IN PACKED BEDS
0 0
. _j ...J <( <( <[ a
<( ~ 1- 1-0 w LLI
ca z w ~ a: ~ ..J w <( ::> ti 1- ::1: 0 (f) (f)
1 <[ m
Q) <D ~
.. w N ëi)
..... ::1: (!) -w ::1:
a w m
C\J
(\J
-.t:l <(
m
Il') 0 Il') 0 . ....;
fi • 0
(t • .. 6 9 9
000 w -( dpo) 1( z-rl )do 1- ~t·o ad 5 ç(JP H
<D
C\1
0 ..J 0 Q) - et:. Q)
<D
C\1
0 -
87
PECLET NUMBERS
The· values of Peclet number for different operating
conditions are shawn in Table 111 of Appendix 1. The results
for single phase flow through packed bed reported in the litera
ture are usually based on nominal diameter a-nd superficial veloc
ity. For the purpose of comparison the results, for water flow
through the bed in the absence of gas flow, are shawn in Figure
26.
ln trying to correlate any data based on packed beds,
it is essential to describe the geometry of the packing. There
has been considerable confusion about the proper choice of the
characteristic length in Reynolds and Peclet numbers. The data
reported in the literature make use of almost every conceivable
defini ti on of diameter for packings. Wilhelm ( 137) and Cairns
(JO) defined it in a manner simi Jar to the hydraulic diameter
as used for friction factor in pipes:
_:4....!>.( ..;..f..;..r.;:;.e.;:;.e _v..;..o;:;..:..l u::.:m.:.:.:e::;......:o::;.;f:..____;f:....l:...:u:...:i-=d:....c..) dh = ...... . wetted area
which for spherical packings and single phase flow, where total
liquid holdup equals the void volume of the bed, becomes
( 5. 1 )
€: dt = --~------~------
1 dt ( 1 - €: ) 2 dp
(5.2) + 1
FIGURE 26
EFFECT OF LIQUID PHASE REYNOLDS NUMBER
ON PECLET NUMBER WITHOUT GAS FLOW
88
0 ...J Q) C\J (i) 9 • 0 a: -- 0 <t
(X)
...: <D
-... . . . - c c c ..... ·- ·- -:cao 0 10 (!). • • wo - -:c
Il Il Il Q(i) 0 a. a. g. w "a "a "a CD
0 C\.1
C\J Q Q) <D v. - 0
,8d
Sater (82) defined equivalent hydraulic diameter
for packing particles in two phase flow by,
d = Hr h 4/dt + a
89
{5.3)
lt is interesting to note that since holdup varies with the
liquid flow rate, dh depends on flow rate as well as packing
size. lt is thus not a true geometrie factor. The use of such
a characteristic length dimension would certainly complicate any
correlation in which it was used.
Otake and Okada (78) used the nominal packing size, dp,
as the characteristic length dimension, together with the surface
area per unit volume, a, to describe the geometry of the packing
in their correlation for holdup. Since the product adp charac
terizes the shape of the packing, it requires inclusion of one
more dimensionless number to already too many dimensionless
numbers affecting the axial dispersion process. ln order to be
able to evaluate ali the constants involved in a general correla-
tion involving al 1 the relevant dimensionless numbers, the experi-
mental data required would have to be prohibitively large. Such
a programme would prove formidable, especially when the reduction
of analog data to a digitized form had to be done manual ly.
However, the approach appears feasible if an automatic analog-to
digital conversion unit were used.
Ebach {31) used equivalent spherical diameter defined
as a diameter of sphere having the same volume as the particle
for correlating his results of axial mixing of liquid flowing
through a bed of Raschig rings. Though his results are correlated
fai rly weil for single phase flow, Dunn et al. (30) have used
equivalent diameter, de, defined as the diameter of a sphere
90
with the same surface-ta-volume ratio as a packing particle, for
correlating his results for two-phase flow. With this definition
of equivalent diameter, the diameter for spherical packing is in
fact the actual diameter. ln the absence of any other suitable
definition for characteristic length dimension, the results of the
present investigation are correlated using this definition of
characteristic Jength for use in Reynolds and Peclet number.
Characteristic velocity of flow has been defined by:
u = h (5.4) e lt has been qui te common { 15, 77, 82) to use this definition of
characteristic veloci ty in computing effective axial dispersion
coefficient from Peclet number. Whi le this definition of charac
teristic velocity has been retained for Peclet number, Sater (82)
used liquid mass velocity for computing Reynolds number of the
flow. Since characteristic veloci ty defined by the above equation
can be expected to be a better representation of the actual flow
velocity through the bed than the superficial velocity, it would
be used in ali correlations reported in this study.
lt is a wei 1 established fact that gas flow does not
appreciably affect liquid holdup in packed bed and that the latter
is related to average residence time of liquid phase. lt would
be assumed that stationary gas phase did not have any significant
influence on the mixing characteristics of the liquid phase flow
ing through the bed (30, 58, 82). A dimensional analysis of the
91
following variables,
for a fixed bed without gas flow would lead to a maximum of four
dimension Jess groups. These are, the Pee let, Gal le lei and Reynolds
numbers and the aspect ratio.
With respect to the effect of the aspect ratio, it is
interesting to recall the study of De Maria (24) which indicates
that the variation of particle diameter to bed diameter ratio
from 0.0625 to O. 1250 does not appreciably affect the axial mixing.
ln a simi Jar study of Otake and Kunugita (76) aimed particularly
to investigate the effect of the geometrie factor, d/dt and h/dt
on the axial dispersion of liquid flowing over Raschig rings in a
packed column, the generalized correlation has the form:
Pe = 1 . 895 (Re )0 · 5 (Ga) -0 · 333 (5.5)
They established the absence of an effect of d/dt over the diameter
ratio range of O. 145 and 0.231. The diameter of the column was
not varied in the present case but three sizes of 0.5, 1.0 and
1.5 inch Raschig rings provided three values of aspect ratio,
d/dt, i.e. 0 .042, 0.083 and 0. 125. 1 n the 1 i ght of the above
information, it was decided to exclude diameter ratio from the
cor re 1 at ion.
lt is a wei 1 established fact that Reynolds number is
the best correlating group for the fluid flow whi le Pee let number
accounts for the dispersion phenomenon. The dimensional analysis
suggests inclusion of a dimensionless group involving accelera
tion due ta gravity. lt is interesting to note that in almost
92
ail generalized correlations, for liquid holdup in packed beds,
given by equations (2.6), (2.7), (2.8), (2.9) and (2.11), the
gravity group, commonly cal led Gal lelei number, enters as an
important correlating parameter.
As an extension to the work of Sherwood and Holloway
for the effect of operating variables on the liquid phase gas
absorption coefficient, Van Krevelen and Hoftizer (138) proposed
a dimensional correlation which included an effect of gravity:
(5.6)
The effect of gravity was deduced from the theoretical relation
for the thickness of a 1aminar fal1ing liquid fi lm and the use
of this fi lm thickness as the characteristic length dimension in
the Sherwood number. This assumption had no rigorous justifica
tion. Nevertheless, their work did cali attention to the import
ance of the acceleration due to gravity in determining the nature
of the liquid fi lm over the packing and to the fact that a
dimensionless correlation of liquid-phase mass transfer coef
ficients in packed columns must inc1ude the effect of gravity.
The studies of Vivi an and Peaceman ( 139) in 1955, Davidson ( 140)
in 1957, Onda, Sada and Murase (115) in 1959 and Vivian, Brian
and Krukonis ( 103) late in 1965, ail indicate that the Gal Je lei
number is an important correlating parameter for mass transfer
studies in packed beds. Though there is sti 11 no agreement
about the exponent on this group in the dimensionless correla
tion for liquid phase mass transfer coefficient, it can safely
93
be concluded that a complete representation of simultaneous gas
liquid contacting system must involve the gravity group in sorne
form or the ether. Whi le rigorous justification for the inclusion
of this group in correlating their resu1ts for liquid dispersion
in packed beds is lacking, the studies of Chen ( 15), Otake and
Kunugita (76) and Sater (82) point out that gravity group is an
essentia1 correlating parameter.
ln a study of axial dispersion of spheres fluidized
with liquids, Kennedy and Bretton ( 141) also included this group
for correlating their data. Further, the inclusion of Gal lelei
number as one of the correlating parameters is attractive espe-
cially because it contains ali the pertinent physical properties
of both packing and fluid.
The dimensional analysis indicates a relationship of
the type,
lude) = A(deuP)8 (d~gp2 )C
D L f1 L J12 L ( 5. 7)
ln order to evaluate the two exponents B and C, at least two of
the variables, one in each dimensionless group, must be varied.
The two variables, Land de, were varied in the present work.
The variation in viscosity was found to be negligibly small
owing to the smal 1 variation in temperature of water. The func
tional relationship between Peclet, Reynolds and Gal le lei number
which best represents al 1 the data of the present investigation
was found to be:
Pe = 0.789 (Re)0.383 (Ga)-0.21 (5.8)
FIGURE 27
DISPERSION FOR LIQUID FLOW THROUGH A PACKED
BED WITHOUT GAS FLOW: THIS STUDY
94
1 1 • • 1 . ~ . v
• rr>
- ~ . C\1
<kD
'Q 0 0 . 0 -~
~ . (X) ~ \Q Q) Q . U) a:: -
~ r- ~ . v
- • Q <D 0 C\1
·à· - 0 () -. C\1 - 1-
:t: = = --(!) U') 0 U') - . LLI 0 . . :t:
" Il Il
0 0 Q. Q. Q. . 0 r- LLI -c -c -c m
...1 _j l .1 ...1 1
rn C\J 0 (X) <.0 v -1 ~.0 ( DE)) ( 9d)
This equation along with ali the experimental data on which it
is based is shawn in Figure 27.
95
For comparing the results of present study with other
investigators, the data of Sater (82) for 0.5 in. Raschig rings
were converted to the form given by equation and are shown in
Figure 28, along with the experimental data of Chen (15) for
three sizes of spheres.
Otake and Kunugita (76) have also reported a simi Jar
study with 1.5 cm. and 0.75 cm. Raschig rings, but thei r data
could not be transformed to the desired form because the data
for mean residence time and dry bed porosity were not avai Jable.
A comparison of the data of Sater {82) with that of the present
study indicates a considerable discrepancy with respect to the
effect of Reynolds number. lt is rather unusual to observe such
a large depenpence of Peclet number on Reynolds number of the
dispersed phase. The correlations proposed both by Otake (76)
and Sater (82) take the form:
3 2 c [ ~a -A [ fJ J: ( d ;P l (5.9)
The values of coefficients B and C as reported are:
Sa ter: For a 1 1 Rel, B = 0.747, c = -0.693
0 take: low ReL, B = 0.5, c = -0.333
High Rel, B = 0. 16' c ::;:: -0 . 1 1
lt may be noted that in both these studies only a few packing
FIGURE 28
DISPERSION FOR LIQUID FLOW THROUGH A PACKED
BED WITHOUT GAS FLOW: VARIOUS STUDIES
96
-t\1 • 0 .........
c (!) ._..... ......... Q)
0.. ....,.,;~
100
6
4
2
10
6·
4
2
1.0
6
4
2
0.1
oo
0 Q]
golf) Do
gf!p 0 CHEN ( 15)
cB D
100 2
0 SATER (82)
- THIS WORK
4 6 1000 2
Re
4 6 10000
97
sizes have been used. Whi le Sater used only one size of Raschig
rings, 0.5-inch, Otake used 1.5 cm. and 0.75 cm. Raschig rings.
For evaluating the exponent on Gal lelei number, C, Sater used
the variation of viscosity of water due to change in temperature.
Since the viscosity varied from J. JO cp to 1.35 cp only, it is
not surprising to find that the reported value of C had wide
confidence limits, viz.
C = -0.693 ~ 1.095 ]95% confidence limit
ln Otake's study, the only variable in the Gal Je lei number was
d. Since it entered as d3, it is quite understandable that the
exponent on Gal le lei number cannat be determined accurately.
However, in the present study three sizes of rings were used and
the results were found to correlate reasonably wei 1 with equation
(5~8).
Further, Figure 28 shows that the results reported by
Chen are much higher than those obtained in the present study.
Since he used spheres whi le rings have been used for this study,
the difference in the two results can be ascribed to the effect
of particle shape. Also, it points out the necessity of intro
ducing an additional parameter to al low for the effect of packing
shape. ln other words, the Gal Jelei number alone is insufficient
to correlate the data for any packing geometry.
The fact that Peclet number increases with liquid flow
rate indicates that plug flow approaches at high flow rates.
This is expected because of higher mixing in each void of the
bed due to increased turbulence at high flow rates. The counter-
98
current gas flow would sti Il further increase turbulence and
thus the mixing in each packing void. lt can be expected that
in the presence of counter-current gas flow, the liquid phase
Peclet numbers should be higher than for no gas flow condition,
especial ly when there is no channel ing.
The values of Peclet number reported by Sater are
lower than the present study. The reason for this difference
becomes apparent if one critical ly observes his experimental
setup and technique. He used a 5-ft. bed in a column of 4-inch
diameter. The inlet water discharged directly from the inlet
pipe at the centre of the column since no inlet liquid distribu
tor was used. Bonifaz (7) has indicated that the values of
Peclet number are considerably lower for the case of maldistribu
tion of flow over the cross-section of the bed. This is espe
cially true for the wal 1 flow which invariably occurs in a packed
bed. Sorne recent work on the mechanism of liquid spread in
packed columns has shown that, in smal 1 diameter columns, a large
proportion of liquid flows down the wall, even when the ratio of
column diameter and packing size is greater than the recommended
Jimits of eight or twelve to one. lt is worthwhile to recall a
recent study of wall flow in packed columns by Templeman and
Porter (95) which indicates that wall flow attains an asymptotic
value for a 6-inch (or Jess) diameter bed of height 5 feet.
Specifical ly, wal 1 flow in a 4-inch column for a constant total
water flow of 2000 lb./hr.ft: could approach a value as high as
54% for half inch Raschig rings. Sater could not avoid the wall
flow either by increasing the diameter, reducing the packing size
99
or decreasing the bed height. Further, since he measured con
centration externally using a radioactive tracer technique, his
measurements would be expected to yield low values of Peclet
number because of the large wal 1 effect which would exist in a
5-ft. long, 4-inch diameter column.
The value of effective dispersion coefficient has been
calculated from the Peclet number. The dependence of effective
dispersion coefficient on characteristic water velocity, u, is
shown in Figure 29. For comparison purposes, the results of
Chen ( 15) with spherical packings are shown in Figure 30. Chen
correlated his data by:
DL= 0.169 (u)0.417 (d)0.66 (5.10)
Since no definite trend is noticeable for data on Raschig rings,
no empirical relation has been attempted. However, the value of
effective dispersion coefficient could be obtained using equation
(5.8). lt can be seen from Figure 29 and Figure 30, that effec
tive dispersion coefficient increases faster with characteristic
water velocity for rings than for spheres. The greater degree
of axial mixing in case of rings results, probably, from the
increased by-passing, trapping and short-circuiting of the liquid
due to sharp corners in case of rings as compared to the case for
smooth spheres.
The results of the axial dispersion study with simul
taneous countercurrent gas-liquid flow are shown in Figure 31.
Liquid phase Peclet numbers under these conditions were found to
be only slightly dependent on gas flow rate below the loading
FIGURE 29
EFFECT OF MEAN LIQUID VELOCITY ON EFFECTIVE AXIAL DISPERSION COEFFICIENT
FOR RASCHIG RINGS
100
• 0 Q)
~ (\1
.. ..... z w -(.) -I..L I..L w 0 (.)
z 0 ëïj 0:: w a. (/) -0
6
4
3
2
... O·OI ..J
0
8
6
BED HEIGHT, ft. a
dp = 0·5 in.
dp = 1.0 in.
dp = 1·5 in.
2 -
1 2
t> 0 <D
Q e
3 4
U, LIQUID VELOCITY, ft./sec.
5 0·6
FIGURE 30
EFFECT OF MEAN LIQUID VELOCITY ON EFFECTIVE AXIAL DISPERSION COEFFICIENT FOR SPHERES (AFTER CHEN ( 15)}
101
0 dp = 1·5 in.
. u •
e dp = 1·0 in . 0 dp = 0·5 in.
• oi': .... ·03 ....
1 1-z LLI -0 -LI. ·02 LI. I.LI 0 0
z 0 -Cl) 0:: ~· (/) -0 ·01
1 .... 0
·008
·1 ·2 ·3 ·4 ·5 ·6
ü- LIQUIO VELOCITY- ft./sec.
102
point. Since holdup is also only slightly affected by gas flow,
the experimental results show agreement with that expected from
the results of holdup studies. This is further substantiated by
the fact that under the condition of no gas flow, the holdup and
axial dispersion are both dependent on the same variables, as
i llustrated by equation (5.8) and (2.6). Although the dependence
of axial dispersion on gas flow is slight, it is more noticeable
for !-inch Raschig rings than for 1.5-inch Raschig rings. Also,
the fact that the Peclet numbers with gas flow are higher than
for no gas flow indicates that countercurrent gas flow helps in
creating more mixing in each void of the bed.
lt has already been observed that the values of Peclet
number would be lower in the presence of channeling than when it
is absent. Thus the results shown in Figure 31 may be viewed as
the sum of two opposing effects, viz. increasing Peclet number
because of more turbulence and hence better mixing in packing
voids, vs. decreasing Peclet number because of any channeling or
wal 1 flow. ln view of the use of a 52-jet water distributor and
relatively short beds, one has every reason to believe that the
wal 1 flow and channeling effect, if at ali present, were suf
ficiently small to cause 1 ittle effect on the results obtained.
Further, since holdup studies point out that the gas flow would
have only a slight influence on Peclet number, and this has indeed
been found to be so, the channeling and wal 1 flow appear to be
unimportant in the present study.
The Peclet number correlations for simultaneous -gas
liquid flow could be extrapolated to zero gas flow and have been
10 3
FIGURE 31
EFFECT OF GAS VELOCI TY ON THE
01 S PERSEO LI QU 10 PHASE PECLET NUMBER
dp = 1.0-inch
d = p 1 .• 5- i ne h
e
7 6 5
L , lb. /(hr. sq. ft) = 1975
SYMBOL : e A
PACKING SIZE, in . ' 1
e
3950 5920 7895 8880
• Q) f) 0
B
CD l ~ 8_ A a.. 4 _CDo • 1> •-e= -e~
~ e -.,= 1 éRa e_.__e-... 3 !A -e-
0.2
0 100 200 300 400 500 600
. G, GAS MASS VELOCITY, lb. /( hr. sq. ft. )
700
e e
1.0 .... 1 -···-· -8 PACKING SIZE, ln : 1• 5 -
L, lb. /(hr. - sq. ft.) \ 3950 1975 -6 BED HEIGHT, ft. : 1 2 2 -
r SYMBOL () 0 o- -
tf 4 0 ()
c-t> -o-8: 0
3 1- 0 -
0.2 _l 1 1 1 1 1
0 200 400 600 800 1000 1200 G, GAS ·MASS VELOClTY, lb. /(hr. sq. ft.)
e e
1
1.0 ~ BED HEIGHT , ft. l 1 2 -
SYMBOL . C> 0 . 8 r L, lb./(hr. sq. ft.) . 5920 . -
PACKING SIZE ln. • 1. 5
6 L -cf
4 ~ 0 0 C> 1>- ... .,. 1) 0 0
0.2 1 1 1 1 1
0 200 400 600 800 1000 G, GAS MASS VELOCITY, lb./{hr. sq. ft.)
e e
1 1 1 1 1
1.0 -BED HEIGHT, ft. : 1 2 -
8 SYMBOL : t> 0 -L, lb./( hr. sq. ft.) : 7895 -
6 PACKING SIZE, in.: 1• 5 -
:x -Q)
~ Q_
6 ~ -0 0
3 L -
0.2 1 1 1 1 1
0 200 400 600 800 1000 G, GAS MASS VELO CITY, lb. /( hr. sq. ft.}
104
found to yield essentially the same values as those obtained
experimental ly. The results for non-reactive, simultaneous,
countercurrent, gas-liquid flow have been correlated by equations
(5. 11) and (5. 12) and are shown in Figure 32.
For 1-inch Raschig Rings:
Pe = 0. 789 (Re)0.382 (Ga)-0.21 x 10 36.9 x 10-5 ReG
( 5. 1 1 )
For 1 . 5 - i ne h Ra sc h i g Ri n gs :
Pe = 0. 789 (Re)0.383 (Ga)-0.21 x 106.33 x 10-5 ReG
(5.12)
These correlations, though stiJl not entirely general,
have the advantage that they reduce to equation (5.8) when gas
flow rate reduces to zero. 1 t i s apparent that considerable work
would be required to obtain a generalized correlation for ali sizes
with a11 packing geometries.
FIGURE 32
CORRELATION OF DISPERSION DATA FOR SIMULTANEOUS COUNTERCURRENT AIR-WATER
FLOW THROUGH PACKED BED
dp = 1.0-inch
dp = 1.5-inch
105
\ <D
' 0
• lO
\ rt>
0 CD 0 <D CD \ CD 0
0
--r rt> U') Ol Q CD
\ 1"-0 If)
0 C\1 C\1 e ~ Ol U')
l 0 .(!)
0 0 Q)
.U') • C\1 0:: Ol rt)
U') 0 0 1"- <D .:..:. lO Ol
.. .. - • ..,.; . 5 0 .... Q . ... cr w en
...J N -..: ~
(/) .s::. -...... ~ (!) . z .a Cl) -- ~ .. 0 ...J f
0
C\J q 1'-(.0LO ~ 0
ra.o ( 0~) ~e~-ol etJ > ad-
e
2 1- L, lb. /(hr. sq.ft) : 1975 3950 5920 7895 8880
SYMBOL : e 0 (]) 0- () PACKING SIZE, : 1. 5 in. -C\1 .
0 ......... c ~ 1.0 o- ([J.
(]) 0 0 ,
(X) , . 0
1 ......... Q)
0::: ......... Q) a..
6 5
4
0.3 0
<D-0--<D-Il.: QlD O-<D a- o- 6 Q •
200 400 600
ReG 800 1000
e
106
SUMMARY
1. The results of this investigation indicate that the transient
response technique may be used with a satisfactory degree
of precision to determine axial dispersion coefficients
for liquid flowing through a packed bed, with or without a
counter-current flow of gas. Feeding and purging step
function inputs are found to give identical results.
2. The voidage of the packed bed with simultaneous counter
current gas-Jiquid flow can be calculated from a knowledge
of the mean residence time of the liquid and the corre~
sponding volumetrie flow rate.
3. The values of the total and operating holdup of the liquid
phase, as calculated from the transient response of the
system, agree wei 1 with values reported in literature.
4. The axial mixing through the bed as expressed by Peclet
number or effective axial dispersion coefficient is depend
ent on liquid and gas flow rates, particle size and geometry,
but is independent of packed bed height. The extent of
mixing in the liquid phase decreases with increasîng flow
rates of either the gas or liquid, the liquid flow rate
having more effect than the gas flow rate.
5. A 11 gravity group'' has been included in the correlation. The
results in the absence of gas flow have been correlated by
the equation
Pe = 0.789 (Re)0 ·383 (Ga)-0 · 21 ( 5. 8)
107
and for simultaneous counter-current gas liquid flow by
the equation
for 1-inch Raschig rings,
Pe = 0.789 (Re)0.383 (Ga)-0.21 x 1036.9 x 10-5 ReG
for 1 .5-inch Raschig rings,
Pe = 0.789 (Re)0.383 (Ga)-0.21 x 106.33 x 10-5 ReG
6. The Peclet number of the dispersed liquid phase is only
si ightly affected by gas flow rate. This finding is further
substantiated by the fact that liquid holdup also is only
slightly affected by gas flow.
.e
A
Ao
Al
a
B
b
c
co
Cn
c
d, dp
de
dh
dt
DL
Dv
Dr
F
f
g
G
Ga
NOMENCLATURE
Unless otherwise specified, the symbols used in this thesis have the following meaning.
- Cross-sectional area of packed bed, sq.ft.
- lnlet amplitude concentration, mass/unit volume
- Outlet amplitude concentration, mass/unit volume
- Surface area of packing per unit volume of packed bed
- Constant, in holdup relations
-Tracer concentration at time t, mass/unit volume
-Maximum tracer concentration, mass/unit volume
-Tracer concentration in nth cell
- c/c 0 , dimensionless concentration
-Nominal packing diameter, inch
- Equivalent diameter, inch (page 90 for definition)
- Hydraulic diameter, as defined by equation (2.27)
- Bed diameter, inch
- Effective axial dispersion coefficient, sq.ft./sec.
- Molecular diffusivity, sq.ft./sec.
- Radial dispersion coefficient, sq.ft./sec.
- Step response function, dimensionless
- Fanning friction factor 2 -Acceleration due to gravity, 32.2 ft./sec.
- Gas mas s ve 1 oc i ty, 1 b. 1 ( h r . - sq . ft. )
- Gallelei number, d3gp2 , dimensionless
f2
108
h - Packed bed height, inch
- Operating liquid holdup, cu.ft./cu.ft.
- Static liquid holdup, cu.ft./cu.ft.
-Total liquid holdup, cu.ft./cu.ft.
- Liquid phase mass transfer coefficient, ft./hr.
- Overal 1 gas phase mass transfer coefficient, lb.mole/(hr.-cu.ft.-atm.)
- Overall 1 iquid phase mass transfer coefficient, lb.mole/(hr.-cu.ft.-( lb.mole/cu.ft. ))
- Mixing Jength
L - Liquid mass velocity, lb./(hr.sq.ft.), also Jength variable
m - a constant
N - Column Peclet number, uh/DL, dimensionless
Nsc - Schmidt number, fl!}JDv n Number of ideally mixed cel ls in series,
p
Pe
Pe'
Q
r
R
Re
dimensionless
- Probabi lity symbol
- Peclet number based on equivalent diameter of packing, u de/DL
- Peclet number based on nominal diameter of packi ng, u dp/DL
- Quantity of tracer material injected, moles
- Rate of production of tracer
- Radius of the tube, ft.
- Liquid phase Reynolds number based on superficial liquid velocity and nominal diameter, dplhJ, dimension 1 es s r
- Liquid phase Reynolds number based on mean liquid velocity and equivalent diameter, u de}JAI , dimension 1 ess r
- Gas phase Reynolds number based on superficial gas velocity and equivalent diameter, deGh/ , dimensionless r
109
/
110
s - Laplace Transformation variable, dimensionl.ess
t
T
u
v
v
y
z
- Time variable, sec.
- t@ , dimensionless time
Average axial 1 iquid veloci ty in packed bed, ft./sec. = lnterstitial velocity for single phase flow = Characteristic velocity for two phase flow
- Superficial velocity, ft./sec.
- Volumetrie flow rate, cu.ft./sec.
-Total volume of bed, also velocity
- Volume of nth cel 1
- Length variable, inch
- Ordinate in figures
- Reduced length, x/h, dimensionless
-Total void fraction, cu.ft./cu.ft. bed volume
- Fraction of total void fraction occupied by gas, cu.ft./cu.ft. bed volume
-Mean residence time, sec.
- Viscosity of gas, lb./(ft.sec.)
- Viscosity of liquid, lb./(ft.sec.)
- Density of liquid, lb./cu.ft.
1 •
2.
3.
4.
5.
6.
7.
8.
9.
JO.
1 1 •
1 2 •
13.
14.
15 .
1 6.
1 7 •
18.
19.
BI BLIOGRAPHY
Ananthakrishnan, V., W. N. Gi 11, and A. J. Barduhn, 6, 1 0 6 3 ( 1 9 65 ) .
Ari s, R., Chem. Eng. Sei., i, 226 ( 1958).
Aris, R., "Introduction to the Ana1ysis of Chemica1 Reactors 11
, Prentice-Ha11, lnc., New Jersey, 1965.
Aris, R., and N. R. Amudson, A.I.Ch.E.J., 1, 280 (1957).
Bischoff, K. B., and O. Levenspiel, Chem. Eng. Sei., ll, 245 ( 1962}.
Bischoff, K. B., C.J.Ch.E., B:_L, 129 ( 1963).
Bonifaz, C., D.Sc. thesis, Massachusetts lnstitute of Technology, ( 1962}.
Bernard, R. A., and R. H. Wilhelm, Chem. Eng. Prog., 46, 233(1950).
Brenner, H., Chem. Eng. Sei., ll, 229 (1962).
Cairns, E. J., and J. M. Prausnitz, Chem. Eng. Sei., 11, 20 ( 1960).
Cairns, E. J., and J. M. Prausnitz, A.I.Ch.E.J., 6, 400 ( 1960).
Carberry, J. J., C.J.Ch.E., 36, 207 (1958).
Carberry, J. J., and R. H. Bretton, A.I.Ch.E.J., 4, 367, (1958).
Churchi Il, R. V., "Modern Operational Mathematics in Engineering11
, p. 117, McGraw-Hi Il, New York, 1944.
Chen, B. H., Ph.D. thesis, McGill University, 1965.
Carslaw, H. S., ''Introduction to the Mathematical Theory of the Conduction of Heat in Solids, second edition, p. 153, Dover Publications, New York, 1945.
Colpitts, G. P., Ph.D. thesis, University of Michigan, Oct. 1958.
Croockewi t, P., C. C. Honig, and H. Kramers, Chem. Eng. Sei., 4, 111 {1955).
Dallava11e, J. M., 11Micromeritics", pp. 100-105, Pitman Publishing Corp., New York, 1943.
1 1 1
1 1 2
20. Danckwerts, P. V., Chem. Eng. Sei., 1_, 1 (1953).
21. Danckwerts, P. V., J. W. Jenkins, and G. Place, Chem. Eng. Sc i . , ,l, 26 ( 195 4) .
22. Danckwerts, P.V., Chem. Eng. Sei., 8, 93 ( 1958).
23. Danckwerts, P. V., Chem. Eng. Sei., i, 78, ( 1958).
24. De Maria, F., and R. R. White, A.l .Ch.E.J., 6, 473 ( 1960).
25. Deans, H. A., and L. Lapidus, A.I.Ch.E.J., 6, 656 (1960).
26. Deisler, P. F., and R. H. Wilhelm, lnd. Eng. Chem., 12_, 1 2 19 ( 195 3) .
27. Douglas, H. R., 1. W. A. Snider, and T. H. Tomlinson 11, Chem. Eng. Prog., ~~ 85 {1963).
28. Douglas, J. M., Chem. Eng., Prog. Symp. Series No. 48, vo 1 . 60.
29. Douglas, W. J. M., Chem. Eng. Prog., 60, 66 ( 1964).
30. Dunn, W. E., T. Vermeulen, C. R. Wi lkie, and T. T. Words, Lawrence Radiation Laboratory Report UCRL - 10394, University of California, Berkeley, July, 1962.
31. Ebach, E. A., and R. R. White, A.I.Ch.E.J., 4, 161 ( 1958).
32. Einstein, H. A., Ph.D. thesis, Eidg. Techn. Hochschule, Zurich, 1937.
33.
34.
35.
36.
37.
38.
39.
40.
Eltn, J. c. ' and F. B. 1939).
Wei s s, lnd. Eng. Chem., 11, 435
Errin4 J. c., and B. w. Jesser, Trans. A.I.Ch.E., 34, 277 19 3).
Epstein, N., C.J.Ch.E., 1.§., 210 ( 1958).
Fenske, M. R., C. O. Tongberg, and D. Quiggle, lnd. Eng. Chem., 26, 1169 ( 1934).
Flow Measurements, Chapter 4, Part 5, Am. Soc. Mech. Engrs., 1959.
Fowler, F. C., and G. G. Brown, Trans. A.! .Ch.E., 39, 491 (1943).
Furnas, C. C., and F.M. Bel linger, Trans. Am. lnst. Chem. Engrs., ~. 251 ( 1938).
Gilliland4
E. R., E. A. Mason, and R. C. Oliver, lnd. Eng. Chem., ~' 1177 ( 1953).
113
41. Glaser, M. B., and 1. Lichtenstein, A.I.Ch.E.J., l, 30 {1963).
42. Glaser, M. B., and M. Litt, A.I.Ch.E.J., l, 103 {1963).
43. Gottsch1ich, C. F., A.I.Ch.E.J., l, 88 (1963).
44. Gray, R. 1., andJohnW. Prados, A.I.Ch.E.J., l, 211 (1963).
45. Hand1os, A. E.4
R. W. Kunstman, and D. O. Schissler, lnd. Eng. Chem., ~~ 25 ( 1957).
46. Harrison, D., M. Lane, and D. J. Walne, Trans. lnstn. Chem. Engrs., 40, 214(1962}. ·
47. Haz1ebeck, D. E.,and C. J. Geankoplis, lnd. Eng. Chem. Fundamentals, 1, 310 ( 1963).
48. Hiby, J. W., Paper C71, Symp. on the Interaction Between F1uids and Particles, London, June, 1962.
49. Hofmann, H., Chem. Eng. Sei., J.!!, 193 (1961).
50. Jacques, G. L., J. E. Cotter, and T. Vermeulen, Lawrence Radiation Laboratory Report UCRL- 8658, University of California, Apri 1, 1959.
51. Katz, S., Chem. Eng. Sei., 1, 61 ( 1958).
52. Keyes, J. J., A.I.Ch.E.J., l, 305 (1955).
53. Kielback, A. W., paper presented at A. 1 .Ch.E. Meeting, December, 1960.
54. Klinkenberg, A., Trans. lnstn. Chem. Engrs., 43, TJ41 ( 1965).
55. Klinkenberg, A., and F. Sjenitzer, Chem. Eng. Sei., 2, 258 ( 1956).
56. Knudson, J. G., and D. L. Katz, 11 Fluid Dynamics and Heat Transfer", p. 354, McGraw-Hi Il, New York, 1958.
57. Koutsky, J. A., and R. J. Adler, C.J.Ch.E., 42, 239 (1964).
58. Kramers, H., and G. Alberda, Chem. Eng. Sei., 1, 173 ( 1953).
59. Kramers, H., and K. R. Westerterp, ''Elements of Chemical Reactor Design and Operation 11
, pp. 62-97, Academie Press lnc., New York, 1963.
60. Kramers, H., M. D. Westermann, J. H. De Groot, and F. A. A. Dupont, Paper BI, Symp. on the Interaction Between Fluids and Particles, London, June, 1962.
61. Lapidus, L., lnd. Eng. Chem., ~~ 1000 ( 1957).
114
62. Lapidus, L., Chem. Eng. Prog. Symp. Series No. 36, vol. 57, 34.
63. Levenspiel, O., 11 Chemical Reaction Engineering11, pp. 242-300,
John Wi ley & Son, New York, 1962.
64.
65.
66.
67.
68.
69.
70.
71.
72.
73.
74.
75.
76.
77.
78.
79.
80.
81.
Levenspiel, 0., C.J.Ch.E., !±1_, 132 ( 1963).
Levensp i e 1, 0. , C.J.Ch.E., 40, L962).
Levenspie1, 0., and K. B. Bi sc hoff, lnd. Eng. Chem. il, 143 1 ( 1959).
Levensp i e 1, 0., and K. B. Bi sc hoff, lnd. Eng. Chem. 51, 313 ( 1961).
Li les, A. W., and C. J. Geankoplis, A.I.Ch.E.J., 6, 591 ( 1960).
Leonard, E. F., Ph.D. thesis, University of Pennsylvania, 1960.
McHenry, K. W., and R. H. Wilhelm, A.I.Ch.E.J., 2., 83 ( 1957).
Mick1ey, H. S., K. A. Smith, andE. 1. Korchak, Chem. Eng. Sei., 20, 237 ( 1965).
Miyauchi, T., and T. Vermeu1en, lnd. Eng. Chem. Fundamentals, 2, 113 ( 1963).
Mohuntat D. M., and G. S. Laddha, Chem. Eng. Sei., 20, 1069 ( 1965} •
Morris, D. R., K. E. Gubbins, and S. B. Watkins, Trans. lnstn. Chem. Engrs., 42, T323 ( 1964).
Ogburn, H., Ph.D. thesis, Princeton University, New Jersey, 1957.
Otake, T., andE. Kunugita, Chem. Eng. (Japan), g, 114 (1958).
Otake, T., andE. Kunugita, and T. Yamanishi, Chem. Eng. (Japan), 26, 800 (1962).
Otake, T., and K. Okada, Chem. Eng. (Japan), ll, 176 (1953).
Payne, J. W., and B. F. Dodge, lnd. Eng. Chem. 24, 630 (1932).
Perry, J.H., "Chemica1 Engineers' Handbook", Third Edition, McGraw-Hi 11, New York, 1950.
Prausnitz, J. M., A.I.Ch.E.J., 4, 14M (1958).
115
82. Sater, V. E., O. Levenspiel, Ph.D. thesis, Illinois lnstitute of Technology, Chicago, 1963.
83.
84.
85.
86.
87.
88.
89.
90.
91.
92.
Schiesser, W. E., and L. Lapidus, A.I.Ch.E.J., l, 163 (1961).
Sherman, W. R., A.I.Ch.E.J., l.Q., 855 (1964).
S h u 1 man , H • L . ~ C . F . U 1 1 r i c h , and N • We 1 1 s , A . 1 • Ch . E . J . , l, 247 ( 1955 J.
Simmons, C. W., and H. B. Osborn, Jr., lnd. Eng. Chem. 26, 529 (1934).
Sinclair, R. J., and O. E. Potter, Trans. lnstn. Chem. Engrs., 4 3, T 3 ( 19 65) .
Sjenitzer, F., The Pipeline Engineer, D-31, Dec. 1958.
Sleicher, C.A., Jr., A.I.Ch.E.J., 2_, 145 (1959).
Stahel, E. P., and C. J. Geankoplis, A.I.Ch.E.J., l.Q_, 174 (1964).
Stemerding, S., and F. J. Zuiderweg, Trans. lnstn. Chem. Engrs., ~' CE156 (1963).
Strang, D. A., and C. J. Geankoplis, lnd. Eng. Chem., .2Q, 1 305 ( 1958) .
93. Taylor, G. 1., Proc. Roy. Soc., ~' 186 ( 1953).
94.
95.
96.
97.
98.
99.
Taylor, G. 1., Proc. Roy. Soc., A223, 446 ( 1954).
Templeman, J. J., and K. E. Porter, Chem. Eng. Sei., 20, 1 1 39 ( 19 65) .
Tichacek, L. J., C. H. Barkelew, and T. Baron, A.l .Ch.E.J., ]., 439 ( 1957).
Todd, D. B., R. H. Overcashier, and R. B. Olney~ A.I.Ch.E.J., 2_, 54(1959).
Turner, J. C. R., Bri t. Chem. Eng., i, 12 ( 1964).
Unchida, S.( and S. Fugita, J. Soc. Chem. lnd., Japan, 39, 886 ( 1936J.
100. Van Deemter, J. J., F. J. Zuiderweg and A. Klinkenberg, Chem. Eng. Sei., 2_, 271 (1956).
101. Van der Laan, E. T., Chem. Eng. Sei., l, 187 (1958).
102. Venkataraman, G., and G. S. Laddha, A.I.Ch.E.J., 6, 355, (1960).
10 3.
104.
105.
106.
107.
108.
109.
110.
1 1 1.
112.
113.
114.
1 1 5 •
1 16.
1 17.
118.
1 19.
120.
1 1 6
Vivian, J. E., P. L. T. Brian and V. J. Krukonis, A.I.Ch.E.J., ll, 1 0 88 ( 1 9 65 ) .
We ste rte r p) K. R., and P. 363 (1962 .
Landsman, Chem. Eng. Sc i • , ll,
Wi 1 he lm, R. H.' and M. Kwauk, (1948).
Chem. Eng. Prog., 44, 201
Wolf, D., and w. Re sni ck, lnd. Eng. Chem., Fundamenta 1 s, 287 ( 1963).
Wolf, D., and W. Resnick, lnd. Eng. Chem. Fundamenta 1 s, 77 ( 1965).
Vagi, S., and T. Miyauchi, Chem. Eng. (Japan), ll, 382 ( 1953).
Zaki, W. N., and J. F. Richardson, Trans. lnst. Chem. Engrs., ..il., 35 { 1954).
Zwietering, Th.N., Chem. Eng. Sei., _11, 1 (1959).
Kramers, H., Chem. Eng. Sei., 8, 45 (1958).
MacMulin and Weber, Trans. Am. lnst. Chem. Engrs., ll, 409 ( 19 34-35).
Cooper, C. M., R. J. Christi and J. C. Perry, Ibid., fl, 979 ( 1941).
1,
4,
D9vidson, J.F., Trans. lnstn. Chem. Engrs., fl, 131 (1959).
Onda, K., E. Sada, and Y. Murase, A.I.Ch.E.J., ~, 235 (1959).
Shu1man, H. L., C. G. Savini, and R. V. Edwin, A.I.Ch.E.J., .9_, 479 ( 1963).
Varrier, C.B. S., and K. R. Rao, Trans. lndian lnst. Chem. Engrs., 13, 29 {1960-61).
Denbigh, K. G., J. Appl. Chem., l, 227 (1951).
Deemter, J. J. van4
J. J. Broeder and H. A, Lauwerier, App1. Sc i • Res. , ~~ 3 7 ( 195 6).
Aris, R., Proc. Roy. Soc. (London}, 235A, 67 ( 1956).
1 2 1 . A r i s , R . , 1 b i d . , 2 5 2A , 5 3 8 ( J 9 59 ) .
122. Peaceman, D. W., and H. H. Rachford, J. Soc. lnd. Appl. Math., 1, 28 ( 1955).
123. Klinkenberg, A., H. Krajenbrink, and H. J. Lauwerier, lnd. Eng .. Chem. ~~ 1202 ( 1953).
117
124. Jacques, G. L. and T. Vermeulen, University of California Radiation Laboratory, UCRL Report 8029.
1
125. Cairns, E. J. and J. M. Prausnitz, lnd. Eng. Chem., .2.,1., 1 44 1 { 1 9 59 ).
126.
127.
128.
129.
130.
131.
132.
133.
1 34.
135.
136.
137.
138.
139.
140.
141 .
Turner, G. A., Chem. Eng. Sc i . , 1, 156 ( 1958).
Turner, G. A. , Chem. Eng. Sc i . , l.Q., 14 ( 1959) .
Levens)iel, 0. ' and W. K. Sm i th, ( 195 6 .
Chem. Eng. Sc i . , 6, 227
Sterne rd i ng, s. ' Chem. Eng. Sc i . , ~~ 209 (1961).
Hoogendoorn, Amsterdam.
c. J . ' and J. Lips, S he 1 1 Labo ra tory,
Wehner, J. F., and R. H. Wilhelm, Chem. Eng. Sei., 6, 89 { 1959).
Mason, D. R., andE. L. Piret, lnd. Eng. Chem., 42, 817 ( 1950) .
Lapidus\ L., and N. R. Amundsen, J. Phys. Chem., 984 (1952J.
Carberry, J. J., A.I.Ch.E.J., 4, 13M (1958).
Hennico, A., G. Jacques, and T. Vermeu1en, University of California, Berkeley, Lawrence Radiation Laboratory, UCRL Report 10696, March 1963.
KI inkenberg, A., lnd. Eng. Chem., 46, 2285 ( 1954).
Wilhelm, R. H., Chem. Eng. Progr., !±2., 150 (1953).
Van Krevelen, D. W., and P. J. Hoftizer, Rec. Trav. Chim. 66' 49 ( 19 4 7 ) .
Vivian, J. E., and D. W. Peaceman, A. 1 .Ch.E.J., 1, 437 ( 195 6).
Davidson, J. F., Trans. lnst. Chem. Engrs. (London), li, 51 (1957).
Kennedy\ S. C., and R. H. Bretton, A.l .Ch.E.J., l, 24, ( 1966}.
1 18
APPENDIX
EXPERIMENTAL DATA AND
CALCULATED RESULTS
• e
TABLE 1 1 1 . EXPERIMENTAL DATA AND CALCULATED RESULTS
·-No GAS' RUNS
Packing Diameter: 0.5 inch Ga= (d~gp2 >tfL 2 = 2.01 x to 7
Liquid Li qui d Parti c le Tota 1 Bed Flow Reynolds Pee let Li qui d Y* Height Rate Number Number Holdup
L Rel Pe• HT h lb./hr./ - - cu. ft./ cu. ft./ inch. sq. ft. cu. ft. cu. ft.
1975 34 0.587 0.0745 11.9 24
3950 68 0. 757 0. 1085 21.55 24
5920 102 0.714 0. 1290 27.37 24
6905 J 19 0.710 0. 1486 33.00 24
7895 136 0.795 0. 16165 36.65 24 .. 8880 153 0.878 0.1607 36.4 24
9865 170 0.872 0. 1710 39.3 24
*Y = H {Ga)0 · 44(ad )-J op L p
\.0
• e
TABLE Ill. EXPERIMENTAL DATA AND CALCULATED RESULTS:
NO GAS RUNS (cont.)
Packing Diameter: 0.5 inch Ga = ( d~g p2>!p.2 = 2. Il x 106
Liquid Average Li qui d Partie le Axial Bed Flow Li qui d Reynolds Pee Jet Dispersion Y* Height Rate Ve 1 oc i ty Number Number Coefficient
L U. Re Pe 2DL h lb./hr./ ft./sec. - - ft./ sec. - inch. sq.ft.
1975 0. 1346 256 0.2781 0.010 5.93 24
3950 0. 1694 282 0.359 0 .0 1 17 7. 65 24
5920 0.213 405 0.338 0.0129 7.2 24
6905 0. 2154 410 0.337 0.01325 7.2 24
7895 0.2261 430 0.377 0.01229 8.04 24
8880 0. 25 61 487 0.416 0 .o 131 8.88 24
9865 0.267 508 0. 413 0.0133 8.81 24
*Y = Pe GaO · 2 l
N 0
• e
TABLE Il 1 • EXPERIMENTAL DATA AND CALCULATED RESULTS
NO GAS RUNS ( cont.)
Packing Diameter: 0.5 inch. Ga = ( d ~ g p·2 ) 1 p 2 = 2 . 0 1 x JO 7
Li qui d Li quid Parti c 1 e Tota 1 Bed Flow Reynolds Pee let Li qui d Y* He i ght Rate Number Number Holdup
L Rel Pe• HT h lb./hr./ - - cu. ft./ inch. sq. ft. cu.ft.
1975 34 0.666 0.08121 13.8 12
3950 68 0.696 0.1022 19.80 12
5920 102 0.836 0. 1205 24.85 12
6905 119 0. 630 0. 1445 31.8 12
7895 136 0.798 0. 1558 35.0 12
9865 170 0. 91 0.1755 qo .5 12
'*Y = H (Ga )0 · 44( ad ) -l op L p
N
e
TA BLE J Il . EXPERIMENTAL DATA AND CALCULATED RESULTS:
NO GAS RUNS (cont.)
Packing Di-ameter: 0.5 inch Ga = (d~g p2 >1 fl 2 = 2. Il x 106
Li qui d Average Li qui d Parti c le Axial Bed Flow Liquid Reynolds Pee let Dispersion Y* Height Rate VelocJty Number Number Coefficient
L u Re Pe DL h lb./hr./ ft /sec. - - ft~/sec. - inch sq.ft.
1975 0. 1 125 206 0.3158 0,007 6. 725 12
3950 0. 1799 330 0.33 0.0108 7.04 12
5920 0.2286 419 0.396 0.01235 8. 45 12
6905 0.222 407 0.299XX 0.0147 6.38 12
7895 0. 235 431 0.378 0.01345 8.05 12
9865 0. 265 477.5 0.431 0.0119 9.2 12
*Y = PeGa O · 2 J xx Not shown in figures.
e
N N
e e
TABLE Ill, EXPERIMENTAL DATA AND CALCULATED RESULTS
NO GAS RUNS (cont.)
Packing Diameter: 1 . 0 i ne h. Ga = ( d ~ g p2 ) 1 f1 2 = 1 6 . 1 x 10 7
·uquid Li qui d Partie le Total Bed Flow Reynolds Pee Jet Liquid Y* Height Rate Number Number Holdup
L Rel Pe' HT h lb./hr./ - - cu. ft./ inch. sq. ft. cu. ft.
1975 68 1.02 0.04423 23. 1 24
2960 102 0.975 0.05373 30.6 24
3950 136 0.91 0. 0591 1 34.8 24
4935 170 1.07 0.06550 39.85 24
5920 204 1 . 0 1 0.0723 45. 15 24
6905 238 1.02 0.07728 49. 1 24
7895 272 1. 34 0.0855 55.6 24
*Y = 0.44 -1 H0 P(Ga)L (adp) N w
• e
TABLE 1 Il . EXPERIMENTAL DATA AND CALCULATED RESULTS:
NO GAS RUNS (cont.)
Packing Diameter: 1.0 inch Ga = (d~gp 2 >!J.L 2 = 4.9 x 10 6
Liquid Average Liquid Parti cl e Axial Bed Flow Li qui d Reynolds Pee 1 et Dispersion Y* Height Rate Ve 1 oc i ty Number Number Coefficient
L u Re Pe DL h lb./hr./ ft./sec. - - ft?/sec. - inch. sq. ft.
1975 0. 20 70 502 0.32 0 .o 1704 9. 45 24
2960 0.2551 620 0. 305 0.0219 9.0 24
3950 0. 3093 750 0. 285 0.02906 8.4 24
4935 0.349 847 0.334 0.029 9.85 24
5920 0. 379 920 0.316 0.0325 9.31 24
6905 0. 4139 1004 0.3184 0.0 345 J 9. 25 24
7895 0. 428 1029 0. 42 0.03222 12.4 24
*Y = PeGa0 · 21
N .s=-
• e
TABLE 1 1 1 . EXPERIMENTAL DATA AND CALCULATED RESULTS
NO GAS RUNS {cont.)
Packing Diameter: 1 . 5 inch. Ga = ( d ~ g p2 ) 1 p. 2 = 54. 3 5 x JO 7
Li qui d Liquid Parti c 1 e Teta 1 Bed Flow Reynolds Pee 1 et Li qui d Y* Height Rate Number Number Holdup
L ReL Pe • HT h lb./hr./ - - cu. ft./ inch. sq. ft. cu. ft.
1975 102 1.1 0.02932 29. 1 24
3950 204 1 .065 0 .04778 55.5 24
5920 306 l. 42 0.06107 74.5 24
7895 408 1 . 215 0.07639xx 96.4xx 24
9865 510 1 .091 xx 0.07366?<X 92 .5xx 24
3950 204 1 .095 0 .04092 45.75 1 2
5920 306 1.2 0.0536 64.00 12
7895 408 1 . 2 1 0.0838xx 107 .oxx 12
*Y = H0p(Ga)~· 44(adp)-l xxNot shawn in figures. N V"1
e e
TABLE Ill. EXPERIMENTAL DATA AND CALCULATED RESULTS:
NO GAS RUNS (cont.)
Packing Diameter: 1.5 inch Ga = { d; g p 2 ) J tf = 1 . 9 2 x JO 7
Liquid Average Liquid Parti c 1 e Axial Bed Flow Liquid Reynolds Pee 1 et Dispersion Y* Height Rate Velocity Number Number Coefficient
L u Re Pe DL h lb./hr./ ft./sec. - - ft?/sec. inch. sq.ft.
1975 0. 4260 1650 0.361 0.04382 12.29 24
3950 0. 3825 1460 0.3505 0.04486 1 1 . 9 24
5920 0. 45 13 1846 0. 4091 0.0400 13.9 24
7895 0. 4785 1826 0.400 0 .04946 13.6 24
9865 0. 4879 1862 0.3595xx 0.05582 1 2. 3 24
3950 0.4467 1431 0.36 0.03966 12.23 l 2
5920 0.431 1645 0. 3944 0 .04506 13.42 12
7895 0.5167 1845 0.398 0.06225 13.5 2 12
*Y = PeGa0 · 2 1 xx Not shown in figures.
N <l'
• e
TABLE IV. EXPERIMENTAL DATA AND CALCULATED RESULTS:
Packing Diameter: 1.0 inch
Li qui d Gas Flow Flow Rate Rate
L G lb./hr./ lb./hr./ sq. ft. sq.ft.
1975 196.5
1975 389.5
1975 468.0
1975 553.0
1975 638.0
1975 704.0
1975 0
3950 305.0
3950 400.0
x from Fig. 26
xx from Fig. 27
Li qui d Reynolds
Numbe r Re -
490
484
466
465
480
349
540XX
705
656
Parti c 1 e Pee let Number
Pe -
0. 3225
0. 355 3
0.3738
0. 3825
0. 3904
0. 40
0.30JX
0. 3775
0. 4089
Ga = (d~g p~! jJ2 = 4.9 x 106
Gas Reynolds y
Number ReG
-
J 1 3 0.886
224.5 0.985
270 1 .045
319 1 .071
368 1.08
405 1. 255
0 0.8
176 0.9
230.5 1 .007
Y = Pe(Re)-0.383(Ga)0.21 L
Bed Height
h inch
24
24
24
24
24
24
24
24
24
N ""-~
e e
TABLE IV. EXPERIMENTAL DATA AND CALCULATED RESULTS:
(cont.)
Pack i ng Di ame ter: 1.0 inch Ga = (d~g pjl p2 = 4.9 x 10
6
Liquid Gas Li qui d Parti c 1 e Gas Bed Flow Flow Reynolds Peclet Reynolds y Height Rate Rate Number Number Number
L G Re Pe ReG h lb./hr./ lb./hr./ - - - inch sq. ft. sq.ft.
3950 502 567 0.3882 289.5 1 .004 24
3950 571 351 0. 2894xxx 329.0 0.908 24
3950 602.5 503 0. 399 347.5 1 . 09 24
3950 0 620xx 0.3135x 0 0.788 24
5920 305 550 Q • 42 ]XXX 176 1 • JO 3 24
5920 400 471 0. 3654 230.5 1 . 0 21 24
5920 502.5 382 0. 45 30xxx 290 1 . 37 3 24
5920 55 1. 5 310 0. 4543xxx 318 1. 49 24
5920 0 75QXX 0. 329x 0 0.77 24
x from Fig. 2 6
xx from Fig. 27 Y = Pe(Re)-0.383(Ga)~· 21 N 00
xxx Rej ec ted
e
TABLE IV. EXPERIMENTAL DATA AND CALCULATED RESULTS:
Packing Diameter: 1.0 inch
Liquid Gas Flow Flow Rate Rate
L G lb./hr./ lb./hr./ sq.ft. sq.ft.
7895 202.5
7895 305.0
7895 402.5
7895 502.5
7895 0
8880 305.0
8880 402.5
8880 0
x f rom F i g . 26 xx f rom F i g . 27
Liquid Reynolds
Number Re -
792
71 l
794
525
930XX
860
682
l050XX
(con t. )
Parti c 1 e Pee 1 et Number
Pe -
0.3766
0.3818
0.4334
0. 4071
0.36X
0. 4240
0. 4325
0.376X
Ga = d~g p21 f'2 = 4.9 x 10 6
Gas Reynolds y Number
ReG -
116. 6 0.862
176 0.910
235 0.988
290 1.09
0 0.776
176 0.936
235 1 .048
0 0.77
Y = Pe(Re)-0.383(Ga)0.21 L
---
Bed Height
h inch
24
24
24
24
24
24
24
24
e
N \.0
e e
TABLE IV. EXPERIMENTAL DATA AND CALCULATED RESULTS:
{con t.)
Packing Diameter: 1.5 inch Ga = (dJg p21 p-2)= 1.92 x JQ7
Li qui d Gas Li qui d Parti c 1 e Gas Bed Flow Flow Reynolds Pee 1 et Reynolds y He i ght Rate Rate Number Number Number
L G Re Pe ReG h lb./hr./ lb./hr./ - - inch sq.ft. sq.ft.
1975 1068 1220 0.3888 967 0. 865 24
1975 0 IOOOXX 0. 3455x 0 0.83 24
3950 300 1370 0 . 3 1 1 272 0.666 24
3950 512 1366 0. 3565 465 0.767 24
3950 710 1200 0. 3418 645 0.77 24
3950 919.5 1150 0. 4288 835 0.955 24
3950 0 1300xx 0.3505x 0 0.77 24
5920 222.7 1573 0. 4026 202 0.82 24
5920 408.5 1654 0.4144 371 0.8288 24
x from Fig. 26 y = Pe(Re)-0.383(Ga)~·21
xx f rom F i g . 2 7 w 0
- e
TABLE IV. EXPERIMENTAL DATA AND CALCULATED RESULTS:
(con t.)
Packing Diameter: 1.5 inch Ga = ( dé g f 21 p2) = 1. 9 2 x l 0 7
Li qui d Gas Li qui d Parti c le Gas Bed Flow Flow Reynolds Peel et Reynolds y He i ght Rate Rate Number Number Number
L G Re Pe ReG h lb./hr./ lb./hr./ - - - inch sq.ft. sq. ft.
5920 637.5 1356 0.3789 579 0.816 24
5920 815.0 1187 0. 3865 740 0.877 24
5920 0 J4QOXX 0.3618X 0 0.78 24
7895 222.7 1911 0. 3116XXX 202 0.585 24
7895 300 1824 0.3738 272 0.714 24
7895 406 1729 0. 3584 369 0.7 24
7895 512 1687 0.3958 465 0.785 24
7895 61 1 1480 0. 3847 555 0. 80 24
7895 710 1222 0.4434 645 0.989 24
x from Fi g. 26 y = Pe(Re)-0.383(Ga)~·21 w
xx from Fig. 27 xxx Rej ec ted
e e
TABLE 1 V. EXPERIMENTAL DATA AND CALCULATED RESULTS:
(cont.)
Packing Diameter: 1 . 5 inch Ga = ( d~g flt f 2) = J. 92 x 101
Liquid Gas Li qui d Parti c le Gas Bed Flow Flow Reynolds Pee 1 et Reynolds y Height Rate Rate Number Number Number
L G Re Pe ReG h lb./hr./ lb./hr./ .. - inch sq.ft. sq.ft.
7895 0 J750XX 0. 3945X 0 0.77 24
9865 301 1862 0. 3484 273 0.663 24
9865 513.5 1652 0. 4066 466 0.8132 24
9865 713.3 1243 0. 3407 647 0.755 24
9865 D 2000XX 0.4195x 0 0. 775 24
3950 500 1060 0. 3602 454 0.845 12
3950 710.5 1180 0. 3854 645 0.875 12
3950 1010.5 1005 0. 4387 917 1.06 12
3950 0 J300XX 0. 3505X 0 0.778 12
-x from Fig. 26
Y = Pe(Re)-0.383(Ga)~· 21
xx from Fi g. 27 w N
• TABLE 1 V. EXPERIMENTAL DATA AND CALCULATED RESULTS:
Packing Diameter:
Li qui d Gas Flow Flow Rate Rate
L G 1b./hr./ lb./hr./ sq. ft. sq.ft.
5920 505.5
5920 710.5
5920 905.5
5920 0
7895 303
7895 506.5
7895 710.5
7895 0
x from Fig. 26
xx from Fig. 27
l . 5 inch
Li qui d Reynolds
Number Re -
1334
1068
691
J4QOXX
1401
1262
1060
1750xx
(cont.)
Ga = ( d~ g f'l 1 p. 2) = 1 . 9 2 x 1 0 7
Partie le Gas Bed Peel et RÂynolds y Height Number umber
Pe ReG h - inch
0.3889 460 0.839 12
0. 41 1 645 0.965 12
0. 4158 822 1 . 1 1 12
0.36J8X 0 0.78 12
0. 3964 275 0.842 12
0.4161 460 0.916 12
0.4116 645 0.97 12
0. 3945x 0 0.77 1 2
Y = Pe(Re)-0.383(Ga)0.21
e
w w
APPENDIX Il
ELECTRICAL CIRCUITS AND OPERATING INSTRUCTIONS
134
GALVANOMETER AMPLI F 1ER
0 pe rat i n g 1 n s truc ti ons
Preliminary
Zero
Switch on negative 44 volts power supply. Switch on fi lament supply. Switch on 105 and 250 volt supplies. Allow to warm and stabilize for 40 minutes.
Switch al 1 function switches to GND. Swi teh a Il avera ger swi tches to OFF. Switch al 1 galvanometer switches to OFF. Rotate al 1 amplitude controls fully CCW (min.)
1 - Reference Channel
(a) Galvanometer switch to ON (b) Push zero button on back and adjust coarse zero
control for nul! on recorder (c) Release zero button and adjust fine zero control
for null on recorder (d) Galvanometer switch to OFF
2 - Chan ne 1 1
3 -
4 -
5 -
6 -
(a) ( b)
( c)
( d)
Galvanometer switch to ON Push zero button on back and adjust coarse zero
control for nul 1 on recorder Release zero button and adjust fine zero control
for nul 1 on recorder Galvanometer switch to OFF
Channel 2
Sa me as Channel 1
Channel ~ Sa me as Channel 1
Channe 1 4 Sa me as Channe 1 1
Channel 2 Sa me as Channel 1
NOTE: lt is important that the Reference Channel be adjusted fi rst.
135
Ca 1 i br at ion
(a) Al 1 function switches to CALIBRATE.
(b) Al 1 galvanometer switches to OFF.
(c} Adjust ali galvanometers fo,r a mechanical zero.
(d) Rotate the reference channel amplitude control fui ly CCW (min.)
(e) Turn galvanometer switches for channels 1 to 5 to ON. (Ref. to OFF).
(f) Adjust amplitude controls for channels 1 to 5 such that each galvanometer wi 11 deflect equal ly ( i . e. fi ve uni t s) .
(g} Without altering these five settings, turn the reference channel amplitude control CW unti 1 one or more galvanometers return to a zero position.
(h) Adjust the potentiometers under the chassis to return the remaining galvanometers to zero.
136
FIGURE 33
BASIC CIRCUITRY FOR AMPLIFIERDEMODULATOR-ADDER UNITS
137
e
~LIFIER CONVERTER-CRA.DEL 1
r-------~-~--~--~---~-~-----~---~--, ·~~ 1 1
6AU6 1 Il l l l l 6AL5 .il2AXZ l 1 220K 820K 150K 1
-45V
AMPLIFIER CONVERTER-CHA.Jm'EL 6
1 1 1 1~ 1
1 1 10 1 1 1 1 1 1
"' 250V
r----~------------~--~--------------, 1 (Reference) 1 1 1
~ Identical tc channel 1 except that the connections tc the diode are reversed.
1 - 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
L---~-----------------~----------~--~· . .
e
lDDER 1
·----~------------~-, t TO VISI-'
1 ~ CORDER 6U8
105V
ON
All resistors are i Watts unless otherwise epecified.
Channels 1 to 5 are identical.
~. 2M, and j.9M resistors are 1~.
e
TO ADDERS
1 zero
--
6U8 250V
-45V
3.9M
AVERAGING AMPLIFIER
lOS V
TO on
e
39K ' • 1)
i 12
ALL RESISTORS ARE 1/2 W UNLESS OTHERWISE SPECIFIED
2M a 3.9M RESISTORS ARE 1 -y.