che572 chapter 3 fluidization.pdf
TRANSCRIPT
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
1/31
26
CHAPTER 3FLUIDIZATION
3.1 Introduction
• A fluidized bed is formed by passing a fluid usually agas upwards through a bed of particles supported ona distributor.
• As a fluid is passed upward through a bed of
particles, pressure loss due to frictional resistanceincreases as fluid flow increases.
• At a point, upward drag force exerted by the fluid onthe particle equal to apparent weight of particles inthe bed.
W
F F F = drag forceW = apparent weight
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
2/31
27
Figure 3.1: Elements of a Fluidized Bed
Gasin
Windbox
Gasdistributor
Fluidbed
Disengagementspace
Solid
feed
Soliddischarge
Dustout
Gasout
Dust separator
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
3/31
28
3.2 Characteristics of Gas Fluidized Bed
These can be roughly divided into two categories;
3.2.1 Primary Characteristics
• Bed behaves like liquid of the same bulk density –can add or remove particles, pressure-depthrelationship, wave motion, heavy objects sink, andlight ones float.
• Rapid particle motion – good solid mixing
• Very large surface area available – 1m3 of 100 µmparticles has a surface area of about 30,000 m2, and
1 m3 of 50 µm particles – 60,000 m2.
3.2.2 Secondary Characteristics
• Good heat transfer from surface to bed, and gas toparticles.
• Isothermal conditions radially and axially.
• Pressure drop through bed depends only on beddepth and particle density – does not increase with
gas velocity.
• Particles motions usually streamline – some erosionof surface or attrition of particles where gas velocitiesare high.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
4/31
29
3.3 Advantages of Fluidized Bed
• High mobilityo
Gives superb heat transfer, which usuallyalways a problem to powders.o Heavily used for drying eg: pharmaceutical
industry.o Excellent reactors
• Good temperature controlo A perfect gas/liquid mixing equipment.
• Very flexibleo Can carry out many processes in a single
vessel.o Mix, dry, granule, separate etc. in one vessel.
• Less number of moving partso Easy to handle
3.4 Disadvantages of Fluidized Bed.
• Costlyo Blowing air into the system.o Trap air to make it fluidized.o Cleaning processo Some powders – costly in operation than others.
• Not all particles fluidizedo Cohesive and large particles are difficult to
fluidize.
• Difficult distributor designo Maldistribution of fluidizing gas
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
5/31
30
o ∆P across distributor = 30% of bed ∆P.
3.5 Pressure Drop Flow Relationship
• The force balance;
Pressure = Weight of particles – upthrust on particlesdrop
Bed cross-sectional area
• For a bed of particle density, ρ p , fluidized by a fluidwith ρ f to form a bed of depth, H and voidage, ε in avessel of cross sectional area, A;
( )
A
g HAP
f p ρ ρ ε −−=∆
1 (3.1)
or
( ) g H P f p ρ ε −−=∆ 1 (3.2)
• For a flow of fluid through a packed bed, two distincttypes of flow involved. They are laminar andturbulent flow.
• The pressure drop across a fluidized bed is the onlyparameter which can be accurately predicted:
A
MgPF =∆ N/m2 (3.3)
or
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
6/31
31
∆PF A
M 1.0= (kg/m2) (3.4)
where M in kg and A in m2.
( )( )g H
Pg pmf
F ρ ρ ε −−=∆
1 (3.5)
• ε mf is the bed voidage at U mf and a closeapproximation to it can be obtained by measuringthe aerated or most loosely packed bulk density,
ρ bLP .
• Equations 3.3 to 3.5 usually are used to predict thetheoretical pressure drop comparing toexperimental one.
3.5.1 Laminar Flow
• Through the work of Darcy and Poiseuille, it hasbeen known for more than 120 years that theaverage velocity through a packed bed, or througha pipe, is proportional to the pressure gradient.
• Pressure gradient ∝ fluid velocity
or
( )U
H
P∝
∆− (3.6)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
7/31
32
• Based on Carmen-Kozeny (1927, 1933 and 1937),
( ) ( )32
21180
ε
ε µ
pd
U
H
P −=
∆−
(3.7)
→ Carmen-Kozeny equation for laminar flow.
3.5.2 Turbulent Flow
( ) ( )3
2
175.1ε
ε ρ p
g
d U
H P −=∆− (3.8)
→ Burke – Plumme equation for turbulent flowthrough a randomly packed bed of monosizedspheres of diameter, d p .
3.5.3 General equation for turbulent and laminarflow.
• Based on experimental data covering a wide range ofsize and shape of particles, Ergun (1952) suggestedthe following general equation for any flowconditions;
( ) ( ) ( )3
2
32
2 175.11150
ε
ε ρ
ε
ε µ
p
g
p d
U
d
U
H
P −+
−=
∆− (3.9)
Laminarcomponent
Turbulentcomponent
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
8/31
33
• Reynold number, ( )ε µ
ρ
−=
1Re*
U d g p (3.10)
For Re* < 10, → laminar flow
For Re* > 2000, → turbulent flow
• Ergun also expressed flow through a packed bed interms of friction factor;
Friction factor,
( )
( )ε
ε
ρ −
∆−=
1*
3
2U
d
H
P f
g
p
(3.11)
Compare this friction factor with Fanning frictionfactor.
• Equation (3.4) then becomes;
75.1Re*
150* += f (3.12)
with Re*
150* = f
for Re* < 10
and 75.1* = f for Re* > 2000
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
9/31
34
• For non-spherical particles; d p is replaced by d sv, then,
( ) ( ) ( )3
2
32
2 175.11150
ε
ε ρ
ε
ε µ
sv
g
sv d
U
d
U
H
P −+
−=
∆−
(3.13)
• The surface/volume size, d sv is used: if only sievesizes are available, depending on the particle shape,an approximation can be used for non-sphericalparticles;
Recalling, psv d d 87.0≈
where d p is the mean sieve size.
• Note also that: pv d d 13.1=
• And for Carmen – Kozeny equation for laminar flow;
( ) ( )32
21180
ε
ε µ
svd
U
H
P −=
∆− (3.14)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
10/31
35
3.6 Minimum Fluidization Velocity, U mf .
• A plot of pressure drop across the bed vs. fluidvelocity as below.
Figure 3.2: Plot of ∆P vs. U o for fluidized bed system
• Line OA → packed bed region→ Solid particles do not move relative to
one another and their separation isconstant.
• ∆P vs. Uo relationships in region OA: use Carmen-Kozeny equation for laminar flow and Ergun equationin general.
ABed pressure
drop, ∆p
Gas velocity, U
B
O
C
Umf
∆p∆p∆p
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
11/31
36
• Region BC: fluidized bed region. In here, equation3.1, equation 3.2 and also Ergun equation in generalapplies.
• Point A: ∆P higher than predicted value fromequation 3.1 and 3.2.
• This is due to powders, which have been compactedto some extent before the fluidization process takesplace.
• Higher ∆P is associated with the extra force requiredto overcome inter particle attractive forces.
• Minimum fluidization velocity, U mf : superficial fluidvelocity at packed bed becomes a fluidized bed (asmarked on graph above).
• Also known as incipient fluidization velocity.
• U mf increases with particle size and particle densityand affected by fluid properties.
• Recalling Ergun (1952) for any flow condition;
( ) ( ) ( )3
2
32
2
175.11150ε
ε ρ ε
ε µ sv
g
sv d U
d U
H P −+−=∆− (3.15)
and ( ) g H P f p ρ ρ ε −−=∆ 1 (3.2)
substituting (3.15) into (3.2),
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
12/31
37
( )( ) ( ) ( )
3
2
32
2175.11150
1ε
ε ρ
ε
ε µ ρ ρ ε
sv
mf g
sv
mf
f pd
U
d
U g
−+
−=−− (3.16)
Rearranging,
( )( ) ( )
( )
−+
−=−−
2
222
3
2
3
3
2
3
2
..175.1
..1150
1
µ
ρ
ρ
µ
ε
ε
µ
ρ
ρ
µ
ε
ε ρ ρ ε
f svmf
sv f
f svmf
sv f
f p
d U
d
d U
d g
(3.17)
( )( ) ( )
( ) 2,3
,3
2
2
3
.175.1
.1150
1
mf e
mf e
sv f
f p
R
Rd
g
ε
ε
ε
ε
µ
ρ ρ ρ ε
−+
−=
−−
(3.18)
or
( ) ( ) 2,3,3
2
.175.1
.1150
mf emf e R R Ar ε
ε
ε
ε −+
−= (3.19)
where,
( )2
3
µ
ρ ρ ρ sv f p f gd Ar
−=
- Archimedes no. (3.20)
µ
ρ svmf f d U =Re - Reynolds no. (3.21)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
13/31
38
• Wen and Yu (1966) correlation for U mf .
687.1
,, 1591060 mf emf e R R Ar += (3.22)
or
( ) 11059.317.33 5.05, −×+= −
Ar R mf e (3.23)
- for spheres ranging 0.01 < Re,mf < 1000
- used for particles larger than 100 µm- use d v instead of d sv for Wen and Yu
NB: Please check the Wen & Yu correlation in determiningU mf from Data Booklet.
• Baeyens and Geldart
- for particles, d p < 100 µm;
( )066 .0
f
87 .0
f
8.1
p
934.0934.0
f p
mf 1110
d gU
ρ µ
ρ ρ −=
(3.24)
Example
A bed of angular sand of mean sieve size 778 µm isfluidized by air. The particle density is 2540 kg/m3, µ g
(air) = 18.4 × 10-6 kg/ms, ρ g = 1.2 kg/m3 and 24.75 kg of
the sand are charged to the bed 0.216 m in diameter. Thebed height at incipient fluidization is 0.447 m. Find;
a) ε mf b) The pressure drop across the bubbling bed in cm
water gauge.
c) The incipient fluidization velocity, U mf .
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
14/31
43
Figure 3.3: Particles classification according to Geldart
100
1000
10000
10 100 1000
Particle size, (µµµµm)
ρ ρρ ρ p
- ρ ρρ ρ g
( k g / m 3 )
C
A
B D
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
15/31
44
3.7 Classification of Powders
• Geldart (1973) (Figure 3.3) classified powders into four
groups according to their fluidization properties at ambientcondition.
• There are 4 stages of particles: Aerated (A), Bubble (B),Cohesive (C) and Dense (D).
3.7.1 Group B
• Bubbling at U mf , thus U mb ≈ U mf
• Bubbles continue to grow, never achieving a maximumsize.
• This makes poor fluidization quality associated to largepressure fluctuation.
• However, lots of bubbles produced results in less ∆P togenerate, thus less entrainment.
• Example: construction sand.
3.7.2 Group D
• Large particles – able to produce deep spout bed.
• Need very large U mf and ∆P to fluidize.
• It is a costly operation since lots of air is needed for
blowing.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
16/31
45
• Quite similar to group B particles, i.e. U mb ≈ U mf .
• Fluidization of group D and larger group B particles: jet
circulation/spout bed – technique used to get circulation.
• Example of operation: paddy drying.
• For B and D particles:o No inter particle involve.o Bed collapses instantly when gas supply interrupted.o Short residence time in bed.
• Example: paddy, beans, soy etc.
3.7.3 Group A
• For smaller particles structures where cohesivity becomes
significant.
• Lies between group C and free flowing particles (B).
• Existence of forces that holds particles together – whengas is supplied, bed expands but does not bubble.
• Non-bubbling fluidization at beginning of Umf, followed bybubbling fluidization as Uo increases (a.k.a. aeratablestate).
• Aeratable state = transformation from cohesive to free-flowing particles type.
• The freeboard has to be increased to allow for bedexpansion.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
17/31
46
• Danger – if the powder is left in a drum → high voidageand it could cause blow-up.
• U mb > U mf , bubbles are constantly splitting and coalescing,and maximum stale bubble size is achieved.
• Take long time to de-aerate after gas supply is cut-off.
• Inter particle forces?? – yes, but significantly smaller thanhydrodynamic forces.
• Good quality and smooth fluidization.
• Gas bubbles are in limited size, break down at highvelocity and it gives good gas/solid contact
• Example: Fluid bed catalytic cracking (FCC) catalyst.
3.7.4 Group C
• Very cohesive particles and do not fluidized at all.
• Inter particle forces are large compared with the inertialforces on the particles.
• Structures are so strong:o At a given ∆P, not expanding and resist aeration.o Upon fluidization, cracks and rat hole form.o Slugging blows powder out.o Difficult to fluidize: inter particle forces >
hydrodynamic forces exerted on the particles by thefluidizing gas.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
18/31
47
• Pressure loss across the bed is always less than apparentweight of the bed cross sectional area due to the particlesnot fully supported by fluidizing gas.
• However, group C fluidization can be improved:o Mechanical help: vibration, mixero Binary mixtures: act as flow conditioner
• Many industrial processes use fine powders, e.g.pharmaceutical, cosmetics, paint industries, foodindustries etc.
• Thus, many researches going on to improve and predictthe behaviour of group C particles.
• Example: the application of vibrations to the fluidized bedcolumn.
• With the aid of vibration, the bed is found to fluidize welland the pressure drop across the bed is close to thetheoretical pressure drop during fluidization.
• Theoretically, when vertical vibration is applied to afluidized bed column, the effect of forces between the bedand the distributor cause the break-up of interparticleforces and this cause the particles to fluidize well.
• According to Janssen et al. (1998), at a specific vibrationfrequency, the ratio between distributor’s plate and thebed displacement increases with an increase in vibrationintensity.
• This phenomenon caused the resultant force becomes
bigger and hence used to break the interparticle forcesbetween the particles.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
19/31
48
d b
+
rBubblevolume, V b
Cusp
• Hence, these results in better fluidization quality andsmaller U mf values obtained compared to fluidizationwithout vibration.
• Vibration also is predicted to be able to reduce thedistance between particles and this reduces the voidage inthe bed.
• This is due to small compaction during negativedisplacement or due to the downward movement duringhalf cycle of vibration.
• However, equilibrium created between two mechanisms,i.e. the effect of pressure on the bed during vibration anddownward movement which produced the compaction andhence led to a stable fluidization.
3.8 Bubbles
• The shape of bubble is a hemispherical capped bubble.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
20/31
49
• The upper surface of the bubble is approximatelyspherical, and it’s radius of curvature is denoted by r .
• Since r is not readily determinable, it is usually moreconvenient to express the bubble size as its ‘volume-equivalent diameter’, i.e. the diameter of the sphere whosevolume is equal to the bubble.
31
beq
V 6 d
=
π (3.25)
• Bubbling fluidization also known as lean phase.
• Condition at where the powder stops behaving like solidsbut they behave like liquid – two phase system.
• Bubbles are extremely important in supplying circulationas they are major circulating mechanism – hence, lead to
mixing.
• As bubbles rise, it grows and expand
• If the bed is deep enough and diameter of the column issmall,
o Then slugging could occuro This means problem because slugging will push the
powder up and possibly out of the vessel.
• Through bubbles, particles are transported out of the bed.
• Approximately, when U o , superficial gas velocity equals toparticle terminal velocity, V t , then carry over/entrainment
could occur.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
21/31
50
• Refer figure 7.3(pg 173), figure 7.5 (pg 175), figure 7.7and 7.9 (pg 177 & 180) and figure 7.8 (pg 178) for
examples of bubbles formed for different groups.
3.9 Bubbling and Non-Bubbling Fluidization
• At U o above the U mf , fluidization may be generally eitherbubbling or non-bubbling.
• Most liquid fluidized bed system, except those involvingvery dense particles, does not bubble.
• Gas fluidized bed system give either only bubblingfluidization or non-bubbling fluidization beginning at U mf ,followed by bubbling fluidization as U o increases.
• Non-bubbling fluidization is also known as particulate or
homogenous fluidization is often referred to asaggregative or heterogeneous fluidization.
3.9 Expansion of non-bubbling bed
• Richardson and Zaki (1954) found the function f( ε ) whichapplied to both hindered settling and to non-bubblingfluidization.
• Thus, in general;
n
T o V U ε = (3.26)
• Khan and Richardson (1989), suggested the correlation inEquation (3.27) which permits the determination of the
exponent n at intermediate values of Re.
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
22/31
51
−=
−
−27 .0
p57 .0
D
d 4.21 Ar 043.0
4.2n
n8.4 (3.27)
• If the packed bed depth (H 1) and voidage (ε 1) are known,then if the mass remains constant, the depth at anyvoidage can be determined:
( )
( ) 1
2
1
2 H
1
1 H
ε
ε
−
−=
(3.28)
3.10 Entrainment
• Ejection of particles from the surface of bubbling bed.
• Also term as ‘carry over’ and ‘elutriation’.• Amongst the factors influencing rate of entrainment are:o gas velocityo particle densityo particle sizeo fines fractiono vessel diametero Increasing gas temperature
o Increasing gas pressure
Discuss these factors …
• Ejection of particles from fluidized bed depends on thecharacteristics of the bed: i.e. bubble size and velocity atsurface.
• If terminal velocity, Vt > Uo – entrained
Increasing drag
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
23/31
52
• If Vt < Uo – particle will fall back to the bed.
• Region above the fluidized bed surface:o Freeboardo Splash zoneo Disengagement zoneo Dilute-phase transport zone
(Refer to page 112 – from text book)
• Generally: fine particles – entrainedCoarse particles – stay in the bed.
• Practically: fine particles could stay in the bed and coarseparticles being entrained.
• TDH = Transport Disengagement heighto Height from bed surface to the top of the
disengagement height.o Entrainment flux and concentration of particles are
constant.
• Empirical estimation of entrainment rates from fluidizedbed:
Instantaneous
rate of loss ofsolid of size d pi
∝
Bed
area ∝
Fraction of bed
with size d pi attime, t .
( ) Bi*
ih Bi Bi AxK x M dt
d R =−= (3.29)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
24/31
53
where
*
ihK = Elutriation rate constant (kg/m s)
M B = Total mass of solids in the bed (kg) A = Area of bed surface (m ) x Bi = Fraction of the bed mass with size
dpi at time, t.
• *
ihK = the entrainment flux at height, h above the bed
surface for the solid size, d pi when x Bi = 1.
• For continuous operation, x Bi and M B are constant, and so,
Bi
*
ihi AxK R = (3.30)
and total rate of entrainment,
∑ ∑== Bi*ihiT AxK R R (3.31)
• Total solids loading leaving the freeboard,
∑ ∑== AU / R oiiT ρ ρ (3.32)
• The elutriation rate constant,*
ihK : predicted value basedon experiment.
• Correlations are usually in terms of the carry over rate
above TDH,*
∞iK
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
25/31
54
• Examples of some widely accepted correlations are asbelow:
(i) Geldart et al (1979); for particles > 100 µm and Uo > 1.2m/s.
−=∞
o
ti
og
*
i
U
V 4.5exp7 .23
U
K
ρ
(ii) Zenz and Weil (1958) – for particles < 100 µm and Uo <1.2 m/s.
88.1
2
27
*
1026.1
×=∞
p pi
o
og
i
gd
U
U
K
ρ ρ when4
2
2
103 −×<
p pi
o
gd
U
ρ
and
18.1
2
24
*
1031.4
×=∞
p pi
o
og
i
gd
U
U
K
ρ ρ when4
2
2
103 −
×>
p pi
o
gd
U
ρ
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
26/31
55
3.10.1 Calculation of carryover rate
For continuous operation
• General case:
• Assumption: R E = R R = 0 and F and Q ≠ 0.
• Mass balance on the size fraction d pi gives:
T PiQiFi R xQ xF x += (3.33)
• Overall mass balance:
F = RT + Q (3.34)
Bi
*
ihT Piih AxK R x A E == (3.35)
• Recalling ∑ ∑== Bi*ihiT AxK R R (3.36)
• In a well mixed bed; xQi = x Bi (3.37)
R T , x Pi
F, x Fi
Q, x Qi
x Bi
R E , x Ei
R C , xR i
R R , x Ri R R , x Ri
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
27/31
56
• Substituting and rearranging from equation (3.33);
T *ih
Fi Bi
RF AK
F x x
−+=
(3.38)
• This equation cannot be solved directly because fromequation (3.36), R T depends on the value of xBi for eachsize fraction.
• In practice, a converging trial and error loop can be set up,
with R T = 0 for the first trial.
For batch operation
• For batch operation, the rates of entrainment of each sizerange, the total entrainment rate and the particle sizedistribution of bed change with time.
• Thus, the formula,
( ) t AxK M x Bi*
ih B Bi ∆∆ =− (3.39)
where ( ) B Bi M x∆ is the mass of solids in sizerange, i entrained in time increment, ∆t .
• By assuming that the mass of bed, M Bi does not changesignificantly with time, ∆t thus:
−= ∞
B
*
i
Bio Bi M
At K exp x x (3.40)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
28/31
57
3.10.2 Total entrainment flux (overall carryover flux), E ih .
• Large, Martini and Bergougnau (1976) picture the total
entrainment flux, E ih, for a given size material, d pi consist oftwo partial fluxes:
o Continuous flux flowing upwards from bed to outlet, E i∞ .
o Flux of agglomerates ejected by bursting bubbles,which decreases exponentially as a function of
freeboard height.
• Expressed algebraically;
ha
ioiihie E E E
−
∞ += (3.41)
where E io is the component ejection flux = E o x Bi and
Bi
*
ii xK E ∞∞ = (3.42)
and
Bi
*
ihih xK E =
(3.43)
• The total solids carryover flux when gas offtake is at anyheight, h above the bed surface:
( )ah E E E oh −+= ∞ exp (3.44)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
29/31
58
• Wen and Chen (1982) developed the idea further andproposed:
( ) ( )ahexp E E E E oh −−+= ∞∞ (3.45)
3.10.3 Terminal velocity, V t determination
(i) For spherical particles
• Laminar region (Ret < 0.2)
( ) µ
ρ ρ
18
2
,
vg p
ST t
gd V
−= , dp < 33 µm (3.46)
t
DC Re
24= (3.47)
• Turbulent region, (Ret >1000)
( )
g
vg p
t
gd N V
ρ
ρ ρ
43.0.
3
4,
−= , dp > 1500 µm (3.48)
CD ≈ 0.43
• Transition region, 0.2 < Ret < 1000
( ) 323
4Re vg pgt D gd C ρ ρ ρ −= (3.49)
or
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
30/31
59
3
t
g
2
g
g p
t
D
V
g
3
4
Re
C µ
ρ
ρ ρ −=
(3.50)
• Generally, 2.
3
4
tg
vgp
DV
gdC
ρ
ρ−ρ=
(3.51)
(ii) Non-spherical particles:
• For laminar region, Ret < 0.2
( ) µ
ρ ρ
18
gd K V
2
vg pST
ST ,t
−= (3.52)
where 065.0log843.0K ST = (3.53)
• Turbulent region, Ret > 1000
g N
vg p
N ,t K
gd .
3
4V
ρ
ρ ρ −=
(3.54)
where 88.431.5K N −= (3.55)
-
8/19/2019 CHE572 Chapter 3 Fluidization.pdf
31/31
• Transition region, 0.2 < Ret < 1000
N
t
N ST TR K
43.0
2.01000
Re1000.
K
43.0K K +
−
−
−≈
(3.56)
Vt = KTR.VT(Sphere) (3.57)