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Drying is a
thermal process in which heat and mass transfer
occur simultaneously. Heat is transferred by
convection from heated air to the moist products
pellet to raise the temperatures of both the
solid and moisture that is present. Mass
transfer occurs as the moisture travels to the
evaporative surface of the pellet and then into
the circulating air as water vapor. The heat and
mass transfer rates are related to the velocity
and temperature of the circulating air.
The driving
force for evaporation is the difference between
the vapor pressure of the water in the product
and the partial pressure of the water vapor in
the surrounding atmosphere. Increasing the
temperature of a wet solid increases the vapor
pressure of the water in the solid, while
increasing the temperature of air decreases the
partial pressure of water vapor in the air.
Moisture will migrate from an area of high vapor
pressure to one of low pressure. Recently,
Dincer et al. (2000) has illustrated the
moisture gradient resulting from this migration
of moisture from within the heated product,
where it has high vapor pressure, through
micropores to the wet surface, where it is
evaporated into the surrounding atmosphere as
water vapor with a lower partial pressure.
The
mathematical modeling of solids drying processes
is of great importance, and the knowledge of
temperature and moisture distributions within
the product and understanding the fundamental
mechanisms during the drying process are
essential for process design, handling practices,
quality control, and energy savings. The
principle of modeling is based on having a set
of mathematical equations, which can adequately
characterize the process. The solution of these
equations must allow for the prediction of the
process parameters as a function of time. In the
literature, a number of investigations have been
undertaken by many researchers (e.g, Dincer et
al., 2000; Ruiz-Cabrera et al., 1997; Akiyama et
al., 1996; Rogers and Kaviany, 1990; Perre et al.,
1993; Ssu-Hsueh and Marrero, 1996; Dincer and
Dost, 1996) on heat and moisture transfer
analysis during drying of various solid products.
The main goal
of this study is to model the drying process,
which can adequately predict the temperature and
moisture distributions inside a cylindrical
moist solid subjected to air drying, and to
validate the model with experimental data
obtained from the literature.
Drying of
moist products is a complicated process
involving simultaneous, coupled heat and mass
transfer phenomena, which occur inside the moist
solid being dried. These coupled phenomena make
the analysis of the drying mechanism so
complicated that extensive efforts have been
devoted to the development of theoretical models
of heat and mass transfer to describe the drying
phenomena in moist products. The theory was
initially proposed by Philip et al. (1957) and
Luikov (1973), noting that it was not just the
moisture content but also the moisture transfer
potential, which was the more effective
parameter in predicting moisture movement in
moist products. Temperature gradient was
considered to be one of the driving forces for
moisture flow in moist products (Mukherjee et al.,
1997).
The
mathematical modeling pertinent to the drying
process is based on the Fourier law of heat
conduction and Fick’s law of mass diffusion. The
governing Fickian equation is exactly in the
form of the Fourier equation of heat transfer,
in which temperature and thermal diffusivity are
replaced with concentration and moisture
diffusivity, respectively.
| The
assumptions considered in the analysis are as
follows: |
-
Thermophysical properties of the moist
material and drying air are constant.
-
There is
negligible shrinkage or deformation of
material during drying.
-
No heat
generation inside the material takes place.
-
The
temperature of the drying air is constant.
-
Two-dimensional temperature and moisture
distributions are considered in a cylindrical
moist material (i.e., variations occur in the
r and z directions)
The
mathematical equations governing the drying
process in a two-dimensional rectangular product
with the appropriate boundary conditions are
given as:
|
(1) |
where the initial and
boundary conditions are:
|
(2) |
where initial and boundary
conditions are:
and D is the moisture
diffusivity, whose dependence on temperature is
of the form of Arrhenius expression (for details,
see Ruiz-Cabrera et al., 1997):
(3) |
where T is the
absolute temperature in K.
The dimensionless temperature and moisture
content can be written as follows:
(4) |
and
(5) |
The solution
of the above governing equations is difficult to
obtain using analytical methods. Moreover,
considerable assumptions have to be considered
in order to obtain a closed form solution with
many inadequacies. Therefore, approximate
methods of solution are used to solve the
governing equations.
The method
used in the present study is the explicit finite
difference approximation where the governing
equations are first transformed into difference
equations by dividing the domain of the solution
to a grid of points in the form of mesh and the
derivatives are expressed along each mesh point
referred to as a node. The numerical grid of an
axisymmetric cylindrical product is shown in
Figure 1. The index i
represents the mesh points in the z-direction
starting with i = 0 being one boundary and
ending at i = m, the other boundary, while index
j represents the mesh points in the R-direction
starting from j = 0. Thus, the finite difference
representation of the mesh points is as follows:
zi
= i z
for i = 0,1,2,…m and rj
= j r
for j = 0,1,2,…n
where ?z and
?r represents the grid sizes in the z and
r-directions respectively and the subscripts
denote the location of the dependent variable
under consideration, i.e., Ti,j means
the temperature at the i’th z-location and j’th
r-location. Knowing the value of a dependent
variable at the initial time step, unknown
values at next time steps are calculated using
the finite difference equations. The finite
difference representations of the governing
equations can be written in the following form:
|
 |
|
Figure 1: Numerical grid for an
axisymmetric cylindrical product.
|
- For heat transfer:
(6)
|
|
where |
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and |
 |
The initial and boundary
conditions are as follows:
 |
at r = 0;
|
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at r = R; |
 |
at z = 0;
|
 |
| |
at z = L;
|
 |
where |
;
 |
|
|
(7) |
|
where
|
and
 |
The initial and boundary
conditions become:
The above
finite difference equations are used to obtain
temperature and moisture distributions inside
the cylindrical product at different time
periods. The grid independent tests are
conducted to ensure the presence of grid
independent results in the simulation. Stability
analysis is performed in order to investigate
the boundedness of the exact solution of the
finite-difference equations using von Neumann’s
method. The method introduces an initial line of
errors as represented by a finite Fourier series
and applies in a theoretical sense to initial
value problems. The stability criterions
obtained for the above finite difference
equations are:
|
for heat transfer (8) |
|
for moisture transfer (9) |
Thus the above
conditions have to be satisfied in order to have
a converged solution.
In this
section temperature and moisture profiles
obtained for the cylindrical product at
different time periods are presented. The
product considered in the simulation was a date
of diameter 0.0084 m and length 0.02 m.
Thermophysical properties and the drying
conditions used in the simulation are listed in
Table 1.
Figures 2-4
exhibit the temperature distribution in the
cylindrical product for different time periods.
Temperature in the cylinder increases as the
time period progresses. This is because of the
higher ambient temperature than the temperature
of the product. Moreover, temperature
distribution inside the product is non-uniform,
giving an indication that the temperature
dependent moisture diffusivity varies in the
product, which in turn affects the rate of
moisture diffusion in the product.
The moisture
distributions inside a cylindrical product for
different time periods are shown in
Figures 5-7. The moisture content
inside the cylinder reduces as the time period
increases. The reduction rate of moisture
content is higher in the surface region compared
to the interior of the product. Moreover, in the
early heating period moisture content reduces
rapidly and as the heating period progresses the
rate of reduction of moisture content becomes
less, i.e., it reduces almost steadily with
progressing heating period. This effect is more
pronounced in the surface vicinity. The rapid
drop of moisture content in the early heating
period occurs because of the high moisture
gradient in this region, which in turn derives
considerable diffusion rates from the inside to
the surface.
The predicted
temperature and moisture distribution in a
cylindrical product are compared with the
experimental data taken from the literature and
are shown in Figures 8 and 9.
Experimental drying conditions and product
properties are listed in Table 2.
A high agreement is found between the numerical
results and the experimental data taken from
Simal et al. (1998).
 |
|
Figure 2:
3-D plot of temperature distribution
inside a cylindrical date after 60 s. |
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 |
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Figure 3:
3-D plot of temperature distribution
inside a cylindrical date after 180 s. |
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 |
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Figure 4:
3-D plot of temperature distribution
inside a cylindrical date after 300 s. |
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Figure 5:
3-D plot of moisture distribution inside a
cylindrical date after 60 s. |
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|
 |
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Figure 6:
3-D plot of moisture distribution inside a
cylindrical date after 180 s. |
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|
 |
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Figure 7:
3-D plot of moisture distribution inside a
cylindrical date after 300 s. |
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 |
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Figure 8:
Measured and calculated center temperature
distributions in a cylindrical broccoli. |
 |
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Figure 9:
Measured and calculated centerline
moisture distributions in a cylindrical
broccoli. |
Table
1: Thermophysical properties and drying
conditions used in the simulation.
|
k |
0.337 W/mK
from Dincer (1997) |
 |
1319 kg/m3
from Dincer (1997) |
|
cp |
(0.837+1.256M) 1000J/kgK
from Dincer (1997) |
|
h |
25-250 W/m2K |
|
hm |
0.0001 m/s |
|
Ti |
298 K |
|
Td |
323 K |
|
Mi |
3 kg/kg
(db) |
|
RH |
0.42 kg/kg
(db) |
Table
2: Experimental drying conditions and
product properties.
|
Product
|
Broccoli
cylinder |
|
Size |
Diameter
0.007 m and length 0.02 m |
|
Ti |
298 K |
|
Td |
333 K |
|
Mi |
9.57 kg/kg (db) |
|
RH |
1.18 kg/kg
(db) |
|
k |
0.148+0.493 Mi
(W/mK) from Dincer (1997) |
 |
2195.27
kg/m3 from Dincer
(1997) |
|
cp |
(0.837+1.256 Mi)
1000
(J/kgK) from Dincer (1997) |
|
Reference |
Simal et al.
(1998) |
In this paper,
the numerical solution for the temperature and
moisture distribution inside a two-dimensional
cylindrical product subject to drying under
convective boundary conditions at the surface is
presented. It is found that the temperature
rises rapidly in the early heating period and as
the heating period progresses, the rise of
temperature becomes almost steady with advancing
heating period. The moisture gradient is higher
in the early heating period and as heating
progresses, the moisture gradient remains almost
steady. In addition, validation of the results
obtained from the present analysis is performed
with experimental data available in the
literature. A considerably good agreement is
found between the model results and measured
values for the temperature and moisture
distributions inside the product.
The authors acknowledge the
support provided by King Fahd University of
Petroleum and Minerals for this work under the
KFUPM research grant # ME/ENERGY/203.
| |
|
|
| A
constant |
|
M
dry-base moisture content (kg/kg) |
| B
constant |
|
M*
reduced (dimensionless) moisture content |
| cp
specific heat capacity at constant
pressure (J/kg K) |
|
n
number of mesh points of the numerical
grid in the r-direction |
| D
moisture diffusivity (m2/s) |
|
r
radial coordinate |
| Do
pre-exponential factor of Arrhenius
equation (m2/s) |
|
R
radius of cylindrical product (m) |
| h
heat transfer coefficient (W/m2K) |
|
RH
relative humidity (kg/kg) |
| hm
moisture transfer coefficient (m/s) |
|
t
time (s) |
| k
thermal conductivity (W/mK) |
|
T
temperature (K) |
| L
length, m |
|
T*
dimensionless temperature |
| m
number of mesh points of the numerical
grid in the z- direction |
|
z
coordinate |
| |
|
|
Greek Symbols
a thermal diffusivity (m2/s)
density (kg/m3) |
|
Subscripts
d drying air
i initial |
| |
|
|
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Hygrostress multi-crack formation and
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