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    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

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    Figure 3.1: Elements of a Fluidized Bed

    Gasin

    Windbox

    Gasdistributor

    Fluidbed

    Disengagementspace

    Solid

    feed

    Soliddischarge

    Dustout

    Gasout

    Dust separator

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    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.

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    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

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    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

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    ∆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)

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    •  Based on Carmen-Kozeny (1927, 1933 and 1937),

    ( ) ( )32

    21180

    ε 

    ε  µ 

     pd 

     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 

     H 

    P   −+

    −=

    ∆−  (3.9)

    Laminarcomponent

    Turbulentcomponent

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    •  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 

     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

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    •  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 

     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 

     H 

    P   −=

    ∆−  (3.14)

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    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

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    •  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),

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    ( )( )  ( ) ( )

    3

    2

    32

    2175.11150

    1ε 

    ε  ρ 

    ε 

    ε  µ  ρ  ρ ε 

    sv

    mf g

    sv

    mf 

     f  pd 

    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 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)

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    •  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 .

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    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   )

    B  D 

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    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.

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    •  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.

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    •  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.

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    •  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.

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    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.

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    •  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.

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    •  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. 

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     −=

    −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

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    •  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)

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    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   

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    •  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

    V 4.5exp7 .23

     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 

     ρ  ρ   when4

    2

    2

    103   −×<

     

     

     

     

     p pi

    o

    gd 

     ρ  

    and

    18.1

    2

    24

    *

    1031.4

     

     

     

     ×=∞

     p pi

    o

    og

    i

    gd 

     ρ  ρ  when4

    2

    2

    103  −

    ×>

     

     

     

     

     p pi

    o

    gd 

     ρ  

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    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  

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    •  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)

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    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)

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    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)

     DC Re

    24=   (3.47)

    •  Turbulent region, (Ret >1000)

    ( )

    g

    vg p

    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

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    59

    3

    g

    2

    g

    g p

     D

    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)

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    •  Transition region, 0.2 < Ret < 1000

     N 

     N ST TR K 

    43.0

    2.01000

     Re1000.

    43.0K K    +

     

      

     

     

     

     

     −≈

      (3.56)

    Vt = KTR.VT(Sphere) (3.57)