diffusion in catalyst pellets

Upload: anonymous-jvnjuleh

Post on 22-Feb-2018

219 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/24/2019 Diffusion in Catalyst Pellets

    1/10

    Chemical Engineering Science, 1962, Vol. 17, pp. 825-834. Pergamon Press Ltd., London. Printed in Great Britain.

    Difhsion in catalyst pellets

    N. WAKAO

    and

    J. M.

    SMITH

    University of California, Davis, California

    (Received 10 April 1962)

    Abstract-A theory is proposed for predicting diffusion rates at constant pressure through bi-disperse

    porous media. The total rate is the

    sum of separate contributions for diffusion through macropores,

    micropores and a series path. To apply the theory requires a knowledge of the pore volume-pore

    radius distribution for the porous material.

    Experimental diffusion measurements are reported for five high-area alumina pellets of different

    densities made from the same Boehmite powder. The results show that for the least dense pellets

    macropore diffusion is dominant. In contrast the micropore contribution controls the diffusion rate

    in the most dense pellet. The theory predicts rates in good agreement with the data over the pressure

    range investigated, 1-12 atm. Comparison with other diffusion data is hindered by the lack of pore-

    volume-distribution information. However, such data are available for a silver catalyst and for a low-

    area alumina. For these different materials the theory also predicts reliable diffusion rates.

    DIFFUSIONN CATALYST ELLETS

    THE

    importance of pore diffusion resistance in

    some gas-solid catalytic reactions (for example

    cumene cracking [l] and o&o-hydrogen conversion

    [2]) has resulted in several studies of pore diffusion

    rates [3-71. Because of the range of pore sizes that

    exist in many solid catalysts, both Knudsen and bulk

    diffusion processes may be significant. The inter-

    pretation of diffusion data in terms of the appro-

    priate diffusivities in such cases lead to some

    confusion in the early work. However, correct

    and equivalent interpretations have been develop-

    ed recently by

    SCOTT

    and

    DULLIEN [8], MASON

    et

    al [9] and ROTHFELD and WATSON lo].

    For optimum rates of reaction the pore-size

    distribution should be such that the total of

    diffusion and reaction resistances are a minimum.

    One can anticipate the time when catalysts can be

    prepared specifically to give a pore-size and area

    relationship for optimum performance. Before

    this can be done, it is necessary to develop a means

    of predicting diffusion rates as a function of the

    physical properties of the porous material. The

    objective of the present study is to propose a method

    for correlating and predicting diffusion rates in

    terms of the porosity and pore size-distribution

    data. The work is restricted to pelleted type

    materials prepared by compressing particles of

    catalyst powder, which themselves are porous.

    Thus the resulting pellet has two pore systems:

    micropores within the powder particles and macro-

    pore space between the powder particles. To

    evaluate the proposed method experimental dif-

    fusion measurements were made on high-surface

    alumina pellets over a range of pressure and

    macropore sizes. These data constitute the only

    results that cover a broad enough range of variables

    and include sufficient pore size-distribution informa-

    tion to evaluate the method critically. However,

    partial comparisons can be made with published

    data on silver [5] and low-surface alumina [IO]

    catalysts.

    MECHANISMOF DIFFUSION IN CATALYSTPELLETS

    In a bi-disperse porous system at constant pressure

    the mass transport will be a combination of diffusion

    through (1) macro- and (2) micropores, the re-

    lationship between the two depending upon the

    bulk density (macropore volume). Fig. 1 is proposed

    to represent the system as far as diffusion is con-

    cerned. The dotted squares identify the powder

    particles containing micropores and the spaces

    between them represent the macropores. It will

    be assumed that the area void fractions are the

    same as the volume void fractions. Then the

    probability that a given location (on a plane

    825

  • 7/24/2019 Diffusion in Catalyst Pellets

    2/10

    FIG. 1. Diffusion mechanisms in b&disperse porous

    materials.

    perpendicular to the direction of diffusion) will

    be in a void space is E. If E,,, si, and E, represent the

    volume fractions of macropores, micropores and

    solid,

    E, + Ei +

    Es = 1

    (1)

    Suppose the sample is cut at the plane and the two

    surfaces are rejoined. Then the void area per unit

    total area on the rejoined plane will be the proba-

    bility of two successive events, or (E)(E) = E.

    The diffusion through the plane can be divided

    into three additive parts (parallel mechanisms):

    (1) Through the

    macro-pores

    with an area of E:

    and an average pore radius Z,,.

    (2) Through

    the particles

    having an area (1 - 8,)

    and an average pore radius L&. The effective void

    area of micropores per unit area in the particles is

    2

    ( 2 Or

    2

    6

    (1 - &,)2

    (3) Through the macropores and micropores in

    series. The area for this contribution is 1 - E: -

    (1 - &a)2or 2~,( 1 - EJ.

    The general equation for the rate of diffusion of

    A in a circular capillary per unit area at constant

    pressure in a binary system of gaseous A and B

    [8-lo] is

    NAYP

    1

    RT (1 - uyJID AB + l/D,

    (2)

    N. WAKAO and J. M. SMITH

    This expression accounts for bulk diffusion accord-

    ing to the molecular diffusivity

    D,,

    and Knudsen

    diffusion with a diffusivity

    D,

    determined by the

    pore radius a

    D, = 2ijA a/3

    (3)

    Equation (2) is now applied to the model of Fig. 1,

    adding the contributions to mass transfer of A for

    each of the three mechanisms. The resulting

    diffusion rate per unit cross-sectional area of the

    pellet is

    N RT

    T-

    - -s,z ,

    2 - (1 - Q2Di 2 -

    (Mechanism 1) (Mechanism 2)

    2

    - 2E(1 - s) (l/D,) +

    ( l /Di)

    Ax

    *A (4)

    (Mechanism 3)

    In formulating this expression the unit cell that is

    repeated to make up the pellet has a length Ax,

    from the centre of one powder particle to that of its

    neighbour (Fig. 1). The composition change across

    the element is AyA.

    The diffusivities

    Da

    and

    D,

    apply for the macro- and micro-regions re-

    spectively, and are given by the equations

    1

    Da = (1 - ay,+)/DA, + I/&,,

    I(1 - &,)2

    Di = (1 -

    ~YAYDAB + (l/h,)

    (6)

    Here Bkti and Dk, are the Knudsen diffusivities for

    component A in the macro- and micropore regions.

    Since the pores cover a range of sizes, mean values

    of the diffusivity based upon mean macro- and

    micropore sizes should be used.

    Equation (4) applies to the unit cell of Fig. 1.

    If it is summed to include the whole pellet of thick-

    ness

    L,

    and if equations (5) and (6) are introduced

    for

    D,

    and

    Di,

    the diffusion flux NA can be expressed

    in terms of

    L

    and the end compositions yA, and

    yA,.

    826

  • 7/24/2019 Diffusion in Catalyst Pellets

    3/10

    Diffusion in catalyst pellets

    1-aYA2 +(DA~/Dki)

    1 - aYAl +(DAB/%,>

    +

    4sLl(I - e3

    + 1 + [(i - &,)2/E;]

    1 _ ayA

    2

    I +I [tl - Ea)2/si21@k,/k.)

    Dki

    1 + [(l -

    qJ2/ J

    1 _ ayA, : + cc1 - %~)~/~i Zl + @k k.)

    Dk,

    1 + [(l - qJ2jEiZ1

    (7)

    If either the macro- or micropores do not exist,

    i.e. E =

    0 or ~~ = 0, equation (7) reduces to the

    pressures on the two ends of the pellet, contained

    simple integrated form of equation (2);

    in a stainless steel chamber [7], were maintained by

    slowly bubbling streams of each gas (helium and

    N RTLa

    =E21n 1 - aYA2 +cDAdBk)

    A PDAB

    1 - YA, +

    (D.& k)

    @)

    In most bi-disperse porous catalysts the macro-

    pore radius Za is much larger than the micropore

    value, &. Then Dki/Ljko is small with respect to

    (1 &a)

    2

    - /&i .

    Also the ratio DAB/nki iS large enough

    for the arithmetic mean to approach closely the

    logarithmic mean. Hence, equation (7) is closely

    represented by a simpler result:

    nitrogen) into a surge tank [3] containing water.

    The lines containing the two gases extended to

    the same depth in the surge tank. The pure gases

    (nitrogen 99.97 per cent pure and helium 99.99

    per cent) were directed tangentially into the chamber

    near the end surfaces of the pellet. The exit streams

    from the chamber were analysed in calibrated,

    thermal conductivity cells (Gow-Mac Co., Type

    30s) immersed in a constant temperature bath

    maintained at 25C. The entire flow rates of each

    1 - aYAz + @?& /p~k.)

    a(yA, -

    YAz)

    1 - aYAl +

    < /pDk ,> 1 -

    d(YA, + YA,)/21 + ( /p~k,)

    4 0 - 80)

    +

    1 + [(l - &J2/&l

    .

    l -a[(YA~ +

    YA2)/21 + 1 +z$(

    )2]

    (9)

    i -a

    a(YAt - J )AI)

    -

    Here D.& ,

    = PD,, and is independent of pressure.

    Equation (9) predicts the effect of macro- and

    microporosities and mean pore sizes (through

    9, and 9, and equation 3) on the diffusion rate.

    The result is based upon the model of Fig. 1 which

    includes the assumption that the three contributions

    are independent of each other. Of particular

    significance is the simple result that in a random

    distribution of pores the effect of porosity is pro-

    portional to s2.

    EXPERIMENTAL ORK AND RESULTS

    FIG. 2. Experimental apparatus.

    1,2 He, Na cylinders

    3 Surgetank

    4 Manometer

    5 Pressure gauge

    6 Porous pellet

    7 Pellet container

    8 He, NZ reference gases

    9 Thermal conductivity cell

    10 Soap-film meter.

    The diffusion apparatus shown schematically in

    Fig. 2 is similar to that used and described by

    HENRY et al. [3]. It is based upon the original pro-

    cedure by WICKE [ 111, for measuring counter-current

    diffusion rates through porous materials under

    constant pressure conditions. Equal and constant

    827

  • 7/24/2019 Diffusion in Catalyst Pellets

    4/10

    N.

    WAKAO

    nd J. M. SMITH

    stream were passed through the cells. Soap film

    sented elsewhere [13]. The distribution curves for

    meters were employed to measure the rates which the micropores were essentially the same for all the

    varied from O-5 to 2 cma/min (S.T.P.). pellets with a narrow peak at about 20 A. This result

    Data were obtained for the nitrogen (component indicates that the pelleting process did not destroy

    A) and helium (component B) system, at pressures the powder particles. The minimum in the volume

    from 1 to 12 atm and at 24C. distribution vs. pore-radius curves occurred at

    The pellets consisted of cylindrical disks of about 100 A, and this was taken as the boundary

    Al,OZ - lHzO (Boehmite) 1 in. in diameter and between micro- and macropores for determining

    about 4 in. in thickness (see Table 1). They were void fractions. The densities of the six pellets were

    Table 1. Physi cal Properti es of Boehmi t e pel lets

    Pell et *

    Total Density Total M icropores Macropores

    Thi ckness pore volume Total void

    (mm.)

    Vt cm3/g)t

    Wm3)

    fr action Voidfraction -

    .%

    1

    Voidfraction -

    ea

    &

    A

    12.6 2.14 0.488 O-80 0.17 25 0.63 15,000

    B

    12.6

    l-39

    0.679 O-72 0.27 24 0.45 2300

    C 13.0 1.10 0.800 0.67 0.33 23 0.34 1100

    D 12.7 0.728 1.041 0.57 0.39 23 0.18 460

    E 12.6 O-560 l-206 0.51 0.42 23 0.09 370

    Pellets are disks with a diameter of 1 in.

    t Pore volume is per gramme of AlaOs; i.e. per gramme of pellet weighed after ignition.

    made by compressing the Boehmite powder in a

    Carver Model-B Press without adding lubricant or

    other contaminant. The powder was contained in

    a stainless steel ring, 1 in. I.D., and the ring and

    powder together placed in the press to form the

    pellet. The ring and pellet as a unit were then

    installed in the stainless steel chamber using

    flanges with O-rings to obtain a tight seal. This

    arrangement allowed operation up to 15 atm

    pressure without leakage. The powder used was

    spray dried alumina from the American Cyanamid

    Company and had an average particle size of about

    90 F. Pellets (A to E) of five different densities,

    and hence different macropore sizes and void

    fractions, were obtained by using different masses

    of alumina in the press.

    The total pore-volume data and volume distribu-

    tion vs. pore-radius calculations were obtained by

    Mr. Marvin F. L. Johnson of the Sinclair Research

    Laboratories, Harvey, Illinois, by nitrogen adsorp-

    tion and mercury penetration measurements.

    Measurements were made on six pellets, each of a

    different density but all made from the same

    Boehmite powder. Examples of the volume

    distribution-pore-radius curves have been pre-

    in the same range as that of pellets A-D studied

    in this investigation. Hence, the void volume for

    samples A-D were obtained by interpolation and E

    by extrapolation, The resulting physical properties

    for the five samples are summarized in Table 1.

    The measured diffusion rates, related data and

    calculated results are given in Table 2. It has been

    shown (9) that the ratio - Na/N, should be inversely

    proportional to the square roots of the molecular-

    weight ratio, regardless of type of diffusion. For

    helium and nitrogen this result is -N,,/N, = 2.64.

    The measured rates given in Table 2 indicate ratios

    close to this value.

    ANALYSIS OF DATA AND THEORY

    1.

    Evaluat ion of mean pore r adii

    In using equation (9) to calculate the diffusion rate

    the mean micro- and macropore radii are necessary

    in order to evaluate i&, and &,. This requires

    data on the distribution of micro- and macropore

    sizes. The distribution curves [13] for the micro-

    pores are narrow with a very sharp peak at 20 A,

    so that cj will be close to this value. Since the mean

    radii are used to evaluate the Knudsen diffusion

    828

  • 7/24/2019 Diffusion in Catalyst Pellets

    5/10

    Diffusion in catalyst pellets

    Table 2. Experi ment al data and t he compari son w i t h t heoret i cal val ues.

    Dif fusion r ate

    mole raction of

    mol/sec)

    RTLNA RTLNA Calculated rom Eq. [9]

    Run Pres- He in

    Na in Helium Nitr ogen

    NB

    Contribution of

    no. sure Na-side

    He-side-SNB S.NA --

    JJA, - YA#%B @A, - YA,)~~B

    observed macro- micro-

    series

    P

    1 - YAI YAz

    x 10-4 x 10-4

    NA

    A 1 1GO 0.353 0.127 0.333 0.125 2.66 o-209 O-228 0.226 o+MO293 0~00200

    2

    1.92

    0402 0.133 0.302

    0.119 2.54 0.222 0.248 0.244 oGoO555 0.00377

    3 3.25 0.273 0.124 0.410 0,162 2.53 0.234 0.247 0.240 O+MlO938 0.00620

    4 4.81 0.326 0.0915 0.397 0.169 2.35 0.252 0.271 0.261 oMI134 oGO9Oo

    B 1 1.26 0.358 0.115 0.1264 0.0485 260 0.0800 OG90 0.086 o+loO929 0GO301

    2 5.05 0.391 0.106 0.1622 0.0655 2.54 0.114 0.133 0.118 0.00351 0.0113

    3 12.0 0.372 0.109 0.2198 0.0845 260 0.142 0.155 0.124 0.00754 0.0237

    c 1 1.92 0.154 0*0500 0.1044 OWO8 2-56 OGKO 0.0584 0.0428 OW132 0.00425

    2 4.23 0.240 0.0620 0.1297 0.0498 2.61 0.0641 0.0697 0.0553 0.00443 0.00896

    3 7.80 0.321 0.0931 0.1258 0.0484 2.60 0.0740 0.0862 0.0629 o+IO777 0.0155

    4 12.4 0.320 OWI80 0.1507 0.0584 2.58 0.0900 0.101 0.0663 0.0115 0.0228

    D 1 1.05 0.0387 0.0203 0.0281 0.0107 2.63 0.00996 0.00889 OGO571 0+0170 OGO148

    2 2.70 0.0560 0.0298 0.0473 0.0184 2.57 0.0176 0.0182 0.0103 OGO424 0.00367

    3 3.28 0.147 0.0335 0.0523 0.0200 2.62 0.0214 0.0210 0.0115 o+IO511 oGo441

    4 5.18 0.180 0.0483 0.0648 0.0249 260 0.0282 0.0285 0.0139 0.00785 OGO671

    5 6.58 0.202 0.0640 0.0604 0.0241 2.51 0.0287 0.0335 0.0154 0.00975 0.00832

    6 11.5 0.197 0.0641 0.0872 0.0352 2.48 0.0418 0+473 0.0180 0.0159 0.0134

    E 1 1.68 0.0451 0.0127 0.0184 0.00714 2.58 O+IO659 003566 OGO154 0.00296 O+KU16

    2 3.56 0.0582 0.0149 0.0321 0.0122 2.63 0.0114 0.0108 0.00239 OTlO605 0.00236

    3 6.25 0.140 0.0890 0.0390 0.0147 2.65 0.0166 0.0171 0GO303 0.0102 oGO393

    4 9.30 0.0853 0.0375 0.0630 0.0237 2*66 0.0235 0.0233 ow343 0.0144 oGO553

    5 10.86 0.147 0.0522 0.0564 0.0233 2.42 0.0253 0.0267 0.00377 0.0166 0.00637

    All runs are at

    24C,

    A = Nitrogen, B = Helium, S = Cross-sectional area of end of pellets = 5.07 cm2.

    contributions in equation (9), the averaging pro-

    cedure should be for this type of mass transfer.

    The total rate of Knudsen diffusion through the

    micropores, using equation (3) is

    QA = - & + 2

    s

    Ob (xa2)n(a)da

    (10)

    0

    The function

    n(a)&

    represents the number of pores

    with a radius between

    a

    and

    a + da,

    and

    a,

    the

    upper limit of the microradius, in this case 100 A.

    In terms of the mean diffusivity &, the total

    diffusion rate is

    QA = ; i& 2

    s

    *kz2n(a)da

    0

    P

    2vA by, _

    =-

    ---a,

    s

    ab

    RT3Ax o

    na2n(a)da

    (11)

    Combining equations (10) and (11) and solving

    for pi gives

    - s

    6%

    axa2n(a)da

    0

    ai =

    ali

    s

    12

    7ca2n(a)da

    0

    The quantity

    za2n(a)da

    is the volume of micropores

    between

    a

    and

    a + da,

    per unit length of pore.

    Hence, equation (12) can be written in terms of the

    known pore volume per gramme of alumina.

    - s

    Vi

    adVi

    0

    ai=vi

    (13)

    This

    expression was used to calculate ai from the

    pore-volume-pore-radius distribution curves and

    found to be 23-25 A. The integral is applied over

    the microvolume region, 0 to

    Vi.

    The result

    B

    829

  • 7/24/2019 Diffusion in Catalyst Pellets

    6/10

    N. WAKAO and J. M. SMITH

    depends upon the somewhat arbitrary separation

    of the distribution data into separate curves for

    the micro- and macroregions. Since the micropore

    distribution was the same for all the pellets, this

    value of pi is applicable for pellets A-E.

    The diffusion data for the most dense pellets

    also can be used to obtain a value of Zi. Thus as

    s,, + 0, equation (9) reduces to the micropore term

    only. Under these conditions,

    NA

    RTL

    P(YAi - YA&%S

    =P{l -a[(yA, + yAz)/21) + @%/~d

    (14)

    Furthermore, at low pressures (l-3 atm), the term

    involving the pressure in the denominator of the

    right-hand side of equation (14) becomes small with

    respect to

    D; i B/ bk i .

    ig. 3(a) is a plot of

    N

    RTL

    (YAl

    - YA,P&

    vs. E,.

    Equation (13) can also be used to evaluate Z,,

    for the macropores by changing the limits of

    The intercept, obtained by extrapolation to s,, = 0,

    should be equal to

    EF&/ D~~.

    rom Fig. 3(a) this is

    EiD

    2 =

    O+M20atm-

    D

    ( 1 5 )

    AR

    The value of the micropore void fraction at .sll= 0

    can be estimated by extrapolating the sl data given

    in Table 1. The result, illustrated by the graph in

    Fig. 3(b), is

    E~)_~ =

    O-44. Then from equation

    (15)

    &, = 0~0020(0~697)~(044)2

    = 0.0072 cm/sec

    (16)

    where Di B = 0.697 atm(cm)/sec is the value of

    DA,

    btained from the Chapman-Euskog expression

    [12] for the N,-He system at 1 atm pressure and

    24C. Using this result for & in equation (3)

    gives Z, = 23 A assuming circular pores. The

    excellent agreement between the two results is

    probably due to the narrow distribution of micro-

    pore radii.

    00

    8

    6

    4

    2

    0.001

    0

    0.2

    0.4

    6

    FIG. 3. Estimation of

    c

    0.4

    i

    .;o

    8

    0.3

    it

    0

    9

    0.2

    e

    .o

    r

    0.1

    0

    0.2 0.4

    c-6

    Macro void fractlan , r,

    Knudsen diffusion in micropores.

    830

  • 7/24/2019 Diffusion in Catalyst Pellets

    7/10

    Diffusion in catalyst pellets

    IO'

    o

    6

    r

    IO'

    0

    I 2

    Total pore volume, V

    cdh

    FIG. 4. Mean macropore radii for Boehmite pellets.

    integration to cover the macropore region V, =

    V, - Vi. The values of (z,

    SO

    calculated for the

    original six pellets are plotted vs. total pore volume

    V, in Fig. 4. Values of Za for pellets A-E were

    obtained by using the V, data in Table 1 and Fig. 4.

    The values of (5, so evaluated are given in the last

    column of Table 1. These were used to determine

    the corresponding mean Knudsen diffusivities

    Dk,.

    Total pressure, P. atm

    P,

    atm

    P,

    atm

    o Exp data of pellet B

    o Pellet D o Pellet E

    2.

    Comparison with data for high-area alumina

    Knowing i& (OGO720 cm2/sec) and &._ equa-

    tion (9) can be used to predict diffusion rates through

    the pellets as a function of density and gas pressure.

    The porosities a. and ai are available from the pore-

    volume measurements. The observed and predicted

    total rates are compared in Fig. 5 for three of the

    pellets by plotting N,R7X/(yA, - vA,)D& vs.

    pressure.

    Experimental and calculated results for

    all the pellets are given in Table 2. Also included

    in Fig. 5 are curves for the separate contributions

    to the total rate, corresponding to the separate terms

    in equation (9). For the low-density pellets, illustra-

    ted by the results for pellet B in Fig. 5, diffusion

    through the macropores is dominant. The con-

    tributions of the micro- and series mechanisms are

    10 per cent or less of the total. For the most dense

    pellet E, this is reversed and the contribution of the

    macropore diffusion is least signitkant. The total

    rate decreases sharply as the density increases.

    The agreement between the predicted and experi-

    mental result lends confidence to the proposed

    theory, particularly since thereare no arbitrary con-

    stants involved in equation (9).

    Evaluation of equation (9) requires data (a) for

    pellets of different densities to test the validity of

    the porosity functions in each term, and (b) for

    FIG. 5.

    Comparison of experimental data for high-area alumina with theory.

    1: Macro contribution. 2: Micro contribution. 3 : Series contribution.

    831

  • 7/24/2019 Diffusion in Catalyst Pellets

    8/10

    N. WAKAO nd J. M. SMITH

    different pressures to test the validity of the func-

    tions giving the relative significance of bulk and

    Knudsen diffusion. Complete data of this nature

    do not appear to be available except for that pre-

    sented here. However, some information has been

    published which permits partial evaluation of

    equation (9).

    3. Comparison w it h sil ver-pell et data

    MASAMUNE and SMWH [5] measured diffusion

    rates through silver catalyst pellets of different

    densities at 1 atm pressure. Void-fraction data

    were obtained but not volume pore size-distribution

    information. Hence, the appropriate values of

    D,. and Dkki re not available. However, for low-

    density pellets under conditions where Knudsen

    diffusion is negligible, such information is not

    needed to apply equation (9).

    The results of most prior investigators have been

    reported in terms of an effective diffusivity, D,,

    defined by the expression

    dYA

    e

    1 - ay, dx

    (17)

    If this is integrated at constant pressure conditions,

    there results

    1 -

    aYA

    N,RTLu = D,P

    In

    l- MyA,

    (18)

    Equation (18) can be combined with Equation (9)

    to give an expression for D, in terms of the proper-

    ties of the porous material. Expressed as the

    diffusibility, De/DAB, the result is

    I.0 _

    8

    I II

    i IL

    n

    6

    FIG. 6. Comparison of silver and alumina data with

    theory.

    restricted conditions, equation (19) reduces to the

    simple form

    D

    e=E

    D ,

    AB

    (20)

    The experimental results for silver-catalyst pellets

    are shown in Fig. 6 plotted as D,/DAB

    VS. ~2.

    The dotted line on the Fig. represents equation (20).

    The results for the least-dense pellet (si = O-57)

    agree reasonably well with Equation (20). The

    data for the higher-density pellets show large

    deviations for equation (20). This is expected, from

    D

    e=

    1

    D

    B ln[(l - ayAz)/(l - ayAl)l

    1 -RYAN +(D~B/P&.)

    dyA, - YAz)

    + 1 - @[(YA, + YAJ PI + (KBIP~,,) +

    4 (1 - )

    + 1 + [(l - &,)/S] *

    dYA, - YAz)

    1 - a[(YA, +

    YAz)/~~ + 1

    +; fe

    121

    I cl

    (19)

    For low-density pellets only the macropore con-

    tribution should be signmcant (see Fig. 5). Also if equation (19), because of the increasing importance

    the macropores are large enough, or the pressure

    of Knudsen diffusion in the macropores and

    high enough, the Knudsen part of the diffusion in

    increasing importance of the micropore and series

    the macropores should be negligible. Under these contributions.

    832

  • 7/24/2019 Diffusion in Catalyst Pellets

    9/10

    Diffusion in catalyst pellets

    4. Compari son w it h ow -area alumi na

    ROTHFELD

    and

    WATSON

    [lo] measured diffusion

    rates through Q in. cylindrical pellets of alumina

    (Type Al-0104-T, Harshaw Chemical Co.) and

    presented data for the isobutane (A)-helium (B)

    system at pressures of

    200

    to

    700

    mm Hg. This

    material corresponded approximately to the more

    dense pellets D or E in Table 1 with respect to void

    fractions. The values of E, and Ei were 0.18 and

    0.34 respectively. However, the micro- and macro-

    pores were much larger and the surface area much

    smaller (76 m2/g vs. 350 m2/g for pellets A-E).

    The pore volume vs. pore-radius distribution data

    did not show a sharp minimum between macro- and

    microregions in contrast to the high-area alumina.

    There was a signi6cant volume in pores of inter-

    mediate radii. Therefore, taking the minimum in

    the distribution curve as the boundary between

    micro- and macropores introduces errors in calcu-

    lating ii and Cr,. This difficulty was circumvented by

    extrapolating the micro- and macrosections to give

    separate distribution curves. From these curves,

    using equation (13), the mean pore radii were found

    to be Zi = 84 A and & = 4800 A. Composition

    information was not available so that yA1 and Ye,

    were unknown. This prevents an exact comparison

    of theory and experimental data. However, most

    diffusion measurements of this type are made with

    nearly pure gases on the opposite faces of the pellet

    so that yA, = 1 and yA2

    = 0, is probably a good

    approximation. Using these results diffusion rates

    were calculated from equation (9). The experi-

    FIG

    7. Theoretical and experimental results for low-

    area lumina [lo].

    mental and calculated

    values are shown in Fig. 7

    based upon the same co-ordinates as Fig. 5. The

    agreement suggests that the theory is also applicable

    to this different type of porous material.

    In summary a model has been proposed for

    diffusion in bi-disperse porous catalysts. The

    development gives a relationship between diffusion

    rate, porosity and pore-size characteristics, that

    agrees well with available data. To predict diffusion

    rates from the equations it is necessary to know

    the pore-volume-pore-radii distribution in the

    porous material.

    Acknowledgement-This

    study was sponsored by the

    United States Army Research Office (Durham) through

    Grani

    DA-ARO(@-31-124-Gl91.

    a

    li,

    CZb

    tit

    DAB

    D'AB

    De

    DC2

    NOTATION

    Pore radius cm

    Mean radius for diffusion in the macropores

    cm

    Upper limit of radius of micropores

    cm

    Mean radius for diffusion in the micropores

    cm

    Binary bulk diffusivity for system A-B

    cm2/sec

    DABP atm

    cn+/sec

    Effective diffusivity defined by equation (17) cm2/sec

    Composite diffusivity, defined by equation (5)

    Composite diffusivity, defined by Equation (6)

    Mean Knudsen diffusivity of gas A in the micropores,

    defined by equation (11)

    cm2/sec

    Mean Knudsen diffusivity of gas A in the macropores

    Geometrical length of porous pellet cm

    Molecular weight

    g/g mole

    Diffusion rate per unit area of gas A (nitrogen)

    T

    V

    BA

    X

    YA

    Number distribution of pores

    cm-

    Total pressure

    atm

    Diffusion rate

    g mole/set

    Gas constant cm3(atm)/(K)g mole

    Cross-sectional area of pellet

    cm2

    SNA = total diffusion rate through pellet

    Temperature

    K

    Pore volume per g (ignited,

    cm3/g

    Vt = total pore volume,

    Vt = micropore volume

    Average molecular velocity of gas A

    Cm/SeC

    Distance in the direction of diffusion cm

    Mole fraction of gas A in the system;

    y_Q = mole fraction nitrogen on nitrogen side of

    pellet

    ;

    yA2 =

    mole fraction nitrogen on helium side of

    pellet

    OL

    E

    Ratio of diffusion rates 1 + NBINA

    Void fraction

    cm2/sec

    CllG/StZC

    cm2/sec

    g mole/(cm2)sec

    Subscripts

    a, Macro- and micropores, respectively

    A, B Nitrogen and helium, respectively

    1,2 Nitrogen and helium sides of pellet

    833

  • 7/24/2019 Diffusion in Catalyst Pellets

    10/10

    N. WAKAOand J. M. Surrn

    RFFERENCES

    [l] PRAYER . D. and LAGOR. M.,

    Advances in Catal ysis

    Vol. VIII, p. 294. Academic Press, New York 1956.

    [2] WAKAON., SELWOOD

    . W.

    and SETH 5. M.,

    Amer. I nst. Chem. Engr s. .I .

    To be published.

    [3] HENRY . P., CHENNAKF..SAVAN. and SMITH . M.,

    Amer. Inst. Chem. Engr s. J. 1961 7 10.

    [4]

    HOOGSCHAGEN.,

    I ndustr. Engng. Chem. 1955 47 906.

    [5]

    MASAMUNE. and %rrrr J. M.,

    Amer. I nst. Chem. Engr s. J. 1962 8 217.

    [6] Scorr D. S. and Cox K. E., J. Chim. Phys. 1960 57 1010.

    [7] WEISZ P. B.,Z. Phys. Chem. 1957 11 1.

    [8] Scorr D. S. and DULLIEN . A. L., Amer. inst. Chem. Engr s. J. 1962 8 293.

    [9] EVANSR. B., WATSONG. M. and MACON . A., Gaseous Di ff usion n Porous Media at Uni form Pressure, IMP-AEC-15.

    Institute for Molecular Physics, University of Maryland, 1 June 1961.

    [IO] ROTHFELD. B. and WATSONC. C., Gaseous Counter Diffusion in Catalyst Pellets. Paper presented at the 54th Ann.

    Meeting Amer. I nst. Chem. Engrs., New York, 3-7 December 1961.

    [ll] WICKEE. and RALLENBACH., KoNoidZ. 1941 97 135.

    [12] HIRXHFELDER. O., CURT~SS . F. and BIRD R. B., Molecular Theory of Gases andliqui ds, Chap. 8. John Wiley, New

    York 19.54.

    [13] MISCHKE . A. and Sm J. M., Thermal Conductivity of Alumina Catalyst Pellets. Submitted for publication to

    I nd. & Eng. Chem., Fundamentals Quarterl y.

    R&urn&La

    auteurs proposent une theorie pour ltvaluation des vitesses de diffusion a pression

    constante a travers un milieu poreux ;i double dispersion.

    La vitesse totale est la rtkultante des vitesses de diffusion a travers les macro et micropores et

    diverses voies. Lapplication de la theorie nkcessite la connaissance de la repartition des volumes

    et rayons des pores du mat&au.

    Des mesures experimentales de diffusion sont effectukes pour cinq sortes de granules dalumine

    a grande surface active de differentes densites, obtenues a partir de la m&me poudre de Boehmite. Les

    r&hats montrent que la diffusion par les macropores est predominante pour les plus faibles densites.

    Inversement, la diffusion par les micropores correspond aux plus grandes densitb. Les vitesses

    prevues theoriquement dans lintervalle 1-12 atm correspondent bien aux r&hats experimentaux.

    Le manque dinformation sur les distributions des volumes des pores concemant dautres rksultats

    de diffusion empkhe toute comparaison.

    Cependant ces donnks sont valables pour un catalyseur dargent et pour une alumine a faible

    surface spkcifique.

    La theorie donne aussi des evaluations de vitesses de diffusion correctes pour ces differents

    mattriaux.

    834