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The kinetics of carbohydrate degradation, observed as a viscosity drop or cellulose
chains scissions, have been studied to a much smaller extent than the kinetics of
delignification. The rate expression describing the cellulose chain scissions, derived
in Section 4.2.5.2.1, Chapter Carbohydrate degradation, can be used to calculate
the average degree of polymerization parallel to model the extent of delignification
and carbohydrate degradation. Equation (90) describes the cellulose chain
scissions as a function of the most important reaction conditions, temperature,
effective alkali concentration and time. Due to lack of experimental data, there is
only one expression for the whole pulping process [see Eq. (90)].
DPn _ t _
DPn _0 _ __ 4_35 _ 1015 _ Exp _
_ T ___ OH _ 1_77_ t _90_
For simplicity, DPv can be used instead of DPn. DPv is calculated from intrinsic
viscosity according to SCAN-CM-15:88; assuming a DPn,0 ≅ DPV = 5080 = Intrinsic
viscosity (IV) = (50800.76) · 2.28 = 1495 ml g–1 for softwood pulps (see Fig. 4.26), a
reaction time of 120 min at 160 °C (isothermal conditions), a constant [OH– ]of
0.9 mol L–1, and a chain scission [OH– ]of, CS, 1.10. 10–4/AHG can be calculated
which corresponds to a DPV of 1/(CS + (DPn,0) DPv = 1/(CS + DPn,0
–1) = 3258 =
IV = 1065 mL g–1.
4.2.5.3.4 Concentration of Cooking Chemicals, [OH– ] and [HS– ] [28]
Experimental evidence indicates that diffusion in porous wood material may limit
the pulping rates during the early stages of kraft pulping [28,35]. The transport of
chemicals and dissolved solids between the wood chips and the bulk liquor
includes diffusion processes [42]. The diffusivities of the wood components are
zero as they are bound in the wood. The diffusion of the degradation products is
not considered as the pulping reactions are assumed to be irreversible. Because of
the very low consumption rate of hydrogen sulfide throughout the cook, an equal
distribution between solid and liquid phases can be expected. The diffusivity of
sodium hydroxide, however, must be estimated. As the diffusion process is a rate
phenomenon, the diffusion coefficient may be related to temperature by an Arrhenius-
type relationship [42]. McKibbins measured diffusivity by immersing cooked
chips in distilled water and comparing the measured chip sodium concentration
dependency on time to that predicted by non-stationary diffusion theory [42]. Diffusion
was considered to be proportional to the concentration difference of the
respective alkali in the entrapped and free liquor. Hence, for a set of different temperatures,
the following expression was derived [Eq. (114)].
D _ 3_4*10_2 _ __ _ T
_ Exp _
2452_4
T _ _ _114_
where D is the diffusion coefficient (in cm2 min–1) and T was temperature (in K).
4.2 Kraft Pulping Processes 217
Because McKibbins measured cooked chips at a given level of pH and cooking
intensity, D had to be corrected with respect to these variables. This approach was
made in the 1960s by Hartler [84], and earlier by Hagglund [85] and Backstrom
[86]. These authors identified relationships between pH and the so-called effective
capillary cross-sectional area (ECCSA), and between the pulp yield and ECCSA.
ECCSA is a measure of the diffusion area in the wood chips. Thus, Eq. (114) is
corrected with respect to pH and lignin content with the ECCSA data published
by Hartler [84]. Benko reported that the diffusion of sodium hydroxide is approximately
12-fold faster than that of lignin fragments due to the higher molecular
weight of the latter [87]. The corrected value of D is expressed in Eq. (115):
D _ 5_7*10_2 _ __ T _
_ Exp _
2452_4
T _ __ _2_0 _ a L 0_13 __ OH _ 0_550_58 _ __115_
where aL is the mass fraction of lignin.
The constant, 0.057, is calculated by demanding the D-values from Eqs. (114)
and (115) to be equal at selected conditions: T = 170 °C, aL = 0.03 and [OH]=
0.38 mol L–1.
Neglecting transverse diffusion (across the fibers), one-dimensional wood chips
with thickness, s, can be considered. At the beginning of the cook (t = t0), it is
assumed that the average [OH– ]in the bound liquor (chip phase) depends on the
wood density, qdc, and the chip moisture according to the following equation:
_ OH _ bound _
Vbl _ MCd
Vbl _ ___ OH _ free _116_
where MCd [l kg–1 dry wood]= MCw/(1 – MCw), which is the average [OH– ]resulting
from diluting the penetrating liquor with chip moisture.
The volume of bound liquor, Vbl, can be estimated considering the following
simple relationship between the dry wood density, qdc, and the density of wood
substance, qw according to Eq. (117):
VV _ Vwc _ Vws _
mwc
_ dc _
mwc
_ wc _
_ dc _
1_53 _117_
where VV is the void volume, Vwc the chip volume, Vws the volume of wood substance,
mwc the mass of wood substance, and qw the density of wood substance,
which is approximately 1.53 and constant for all practical purposes, wood species
constant and even pure cellulosic material.
The degree of penetration, P, determines the volume of bound liquor, Vbl, using
Eq. (116):
Vbl _ P _ VV _118_
P is nondimensional.
In case of full impregnation, Vbl equals VV.
218 4 Chemical Pulping Processes
Example:
Given: P = 1; qdc = 0.45 kg L–1; MCw = 0.45 L kg–1; [OH]free = 1 mol L–1.
Result: VV = Vbl = 1/0.45 – 1/1.52 = 1.56 L kg–1; MCd = 0.45/(1 – 0.45) = 0.82 L kg–1
[OH]bound = {(1.56 – 0.82)/1.56}. 1 mol L–1 = 0.47 mol L–1.
During the course of the heating-up period, the pulping reactions start. The
generated degradation products neutralize alkali as they diffuse out of the chips.
Alkali is transported from the bulk phase to the boundary layer, and then diffuses
into the chip to replace the sodium hydroxide consumed by the degradation products.
Diffusion of alkali within the porous chip structure obeys Fick’s second law
of diffusion. The one-dimensional wood chip is divided into 2n slices with the
width, Dh = s/2n. For calculation of the gradient of the [OH]within the chip, a
value of 20 was chosen for n (see Fig. 4.32).
Fick’s second law of diffusion for a one-dimensional chip is expressed as:
∂ C
∂ t _ z _ t _ _
∂
∂ z _ D
∂ C
∂ z _ z _ t __ _ Ra for t _ 0_ 0 ≤ z ≤ s _2 _119_
where C is the alkali concentration (mol L–1), D the coefficient of diffusion
(cm2 min–1) and Ra the reaction rate of [OH], (mol L–1. min–1).
The initial concentration is given as
C _ z _ 0_ _ C 0_ z _ for 0 ≤ z ≤ s _2 _120_
constant under assumption in Eq. (114).
-20 -10 0 10 20
S/2
[OH-]170°C
[OH-]125°C
[OH-]80°C
chip centre boundary
layer
boundary
layer
-S/2
Äh
Fig. 4.32 Schematic of a one-dimensional chip
model; s = chip thickness; 2n slices with width
Dh = s/2n; the gradient of bound [OH– ]across
the chip has been calculated for three cooking
stages at: the start of the cook at 80 °C (solid
curve); after reaching 125 °C in the heat-up time
(broken curve); and at the start of the cooking
phase at 170 °C (dotted curve).
4.2 Kraft Pulping Processes 219
In the chip center, the plane of symmetry, no concentration gradient occurs at t
> 0, as expressed in Eq. (121):
∂ C
∂ z _0_ t _ _ 0 t _ 0 _121
The mass flow rate at the solid–liquid interface is considered as proportional to
the concentration difference of the free and entrapped liquor, and must equal the
mass flow rate which is expressed by Fick’s first law of diffusion according to
Eq. (122):
D
∂ C
∂ z _
s
_ t _ _ k _ Cbulk _ t _ _ C _
s
_ t __ _122_
where k is the mass transfer coefficient.
As it is assumed that the bulk phase is homogeneous and well-stirred, the hydroxide
ion concentration in the free liquor has no concentration gradient and is
described as Cbulk. According to the conservation of mass, the mass of free liquor
decreases by the mass passing through the boundary layer. Thus, the balance on
the bulk phase gives the following equation:
dCbulk Vbulk
dt _ t _ _ _ AC D
∂ C
∂ z _
s
_ t _ _123_
Vbulk is assumed to be the constant volume of the free liquor, and AC the surface
area where the mass transfer takes place. The total area is double the circular
(chip) area, AC = 2r2p. The disk (chip) volume calculates to Vchip= r2ps, so that with
AC = 2Vchip/s, Eq. (123) leads to:
dCBulk
dt _ t _ _ _
2 VChip
sVBulk
D
∂ C
∂ z _
s
_ t _ t _ 0 _124_
The system is fully described by Eqs. (119–124). A method for the numerical
solution of the differential equations to determine the [OH– ]across the chip thickness
is described in the Appendix.
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