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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 352
DETERMINATION OF THIN-LAYER SOLAR DRYING KINETICS OF
CASSAVA NOODLES (TAPIOCA)
N.C. Ezeanya1, C.C. Egwuonwu2, A.B Istifanus3, V.C Okafor4
1
Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria
2
Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria
3
Department of Agricultural and Bio-Environmental Engineering, Taraba State College of Agriculture, Jalingo,
Nigeria
4
Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria
Abstract
The aim of this study is to determine the thin-layer drying kinetics of cassava noodles (tapioca) using a solar dryer. To achieve
this, an integral type forced convection solar dryer, equipped with rock storage, was developed. Drying kinetics of tapioca were
determined using the solar dryer. The treatments in the experiment comprise of air flow velocities (V) of 1.5, 2.5, and 3.5 m/s; and
drying layer thicknesses (B) of 0.48 and 0.72 cm. Tapioca samples were dried from an average initial moisture content of 297%
(dry basis) to 9.8% (dry basis). Control experiments in the form of open air sun drying of similar quantity of tapioca were also set
up and monitored. Graphical plotsof moisture content versus drying time, exhibited the characteristic moisture desorption cu rve,
characterized by initial high rate of moisture removal, followed by a slower rate of moisture removal. It was observed from drying
rate curves plotted using the drying data, that the drying of the tapioca took place entirely in the falling rate period. The drying
rate of the tapioca varied with the different combinations of velocity and drying layer thickness. The drying rate of the tapioca
increased with increase in the air flow velocity until velocity of 2.5 m/s; beyond this velocity the drying rate reduced slig htly. Also
the drying rate of tapioca decreased with increase in drying layer thickness. A maximum drying rate of 39.2%/hr was obtained
during the experiment. The maximum system drying efficiency of the dryer was determined as 47.14%, while the maximum dryer
pick-up efficiency of 50% was determined during the drying test.
Keywords: Air Flow Velocity, Drying Rate, Forced Convection, Layer Thickness, Moisture Content, Solar Dryer
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1. INTRODUCTION
Drying is one of the oldest and important method of food
preservation, practiced by humans (Midilli et al., 2002;
Sacilik, 2007). The main purpose of drying agricultural
materials is to provide longer periods of storage, minimize
packaging requirements and reduce transportation weights
and costs. Over the years, conventional energy sources like
fossil fuel, electricity, and biomass sources had been used as
energy sources for heat generation and fan operation in
dryers. However, these energy sources are either very costly
or non-renewable in nature. The solar energy is fast
becoming an alternative source of energy, because of high
rate of depletion of the conventional energy sources. It has
many advantages over other alternative energy sources,
because of its relative abundance, low cost, inexhaustible
nature and zero pollution.
Nigeria is the largest producer of cassava in the world (FA0,
1985; 2012), with over 14 million metric tonnes produced in
1985 to over 40 million metric tonnes produced in 2010.
Cassava noodle (tapioca) is a cassava-by product, that is
popular and relished by the Eastern and Southern Nigerians.
Tapioca is normally produced in two types. The first type is
in the form of long thread-like strands (Figure 1a), which is
normally dried and preserved (stored). This type is normally
sold in the market in the dried form. The second type is in
the form of rectangular-shaped flakes (Figure 1b), which is
normally sold in the fresh form. This second type is
normally eaten in the fresh form with coconut and peanuts,
as a local snack. Also the dried tapioca are usually soaked in
water and eaten with or without coconut or peanuts as snack
(Ihekoronye and Ngoddy, 1985). The softened tapioca also
known locally as abacha, cooked with vegetable, palm oil,
fish and other food seasoners is known as local (African)
salad. The thread-like form of tapioca was used in this
research.
Freshly produced tapioca normally have moisture content
range of 65% to 90% (wet basis), and have safe storage
moisture content of 8% (wet basis). This therefore implies
that a reasonable quantity of heat energy should be
developed by a dryer, for the drying of tapioca within the
desired time. Quick drying of tapioca is advantageous in the
sense that risks of contamination and mould growth are
minimized. Also, drying and ensiling have been found to be
effective ways of reducing the toxicity of cassava products
(Phuc et al., 2000; Kajuna et al., 2001). Tapioca strands are
normally dried using direct sun method and heat from the
fire place.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________________
Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 353
Fig 1(a): Thread-like form of tapioca Fig 1(b): Rectangular-shaped form of tapioca
These methods are associated with slow rate of drying,
exposure of the dried materials to the attack of insects and
rodents, and the occasional charring of the materials in the
presence of excessive and uncontrolled sun’s radiation and
heat source. The traditional sun drying of tapioca normally
takes an average of 4 to 5 days to complete. Several research
works on thin-layer drying kinetics of some cassava by-
products and other agricultural materials are reported in the
literature. However, no research work on thin-layer solar
drying kinetics for cassava noodles (tapioca) is contained in
the literature. Therefore the objectives of this work are (i) to
develop an effective solar drying system and (ii) to it to
determine the drying kinetics of tapioca.
2. MATERIALS AND METHODS
2.1 Description of the Equipment
The dryer used for the experiment is a forced convection
integral type flat plate solar collector (Figure 2). It consists
of a solar collector chamber and dryer cabinet both of which
were integrated into one unit, fan/blower unit, heat storage
unit and chimney.
The solar collector chamber consists of a wooden box of
rectangular cross-section, having a length of 1.15 m and
width of 0.75 m, thus giving a cross-sectional area of 0.86
m2. The top of the collector chamber was titled at an angle
of 5029 ̍ which is the latitude of Owerri. The top of this
section was covered with a plain glass, which acts as the
glazing material.
Fig 2: Schematic Drawing of the Solar Dryer
The base of this unit was lined with a layer of dark painted
pebbles, which act as a thermal storage unit. A galvanized
steel plate with the same dimensions as the collector area
and painted dull black was used as an absorber plate. This
absorber plate overlay the thermal storage unit. The solar
collector has a hole of diameter 15 cm at the entrance, used
for mounting the fan unit. Also a hole of dimensions 8 cm x
8 cm, drilled at the exit point, serves as the exit for exhaust
air. It also has two access doors used to control the
operations.
The drying chamber consists of two racks, each containing
two trays of dimensions 0.44 m length x 0.44 m width and
depth of 0.04m. Each of the racks was supported by a
ITEM DESCRIPTION QTY
A Glazing Material 1
B Fan Unit 1
C AbsorberPlate 1
D Rock Storage
E Stand 4
F Drying Rack 2
G Access Door 1
H Rollers 4
C
F
A
B
G
D
E
H
44 45
20
Ø 3
15
30
115
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 354
wooden stand. The outer part of the dryer was painted dull
black while the interior sides were lined with aluminum foil,
so as to enhance reflectivity of heat inside the dryer
chamber. Axial flow fan was used in the solar dryer. The fan
was equipped with a speed regulator which helped to
regulate the fan speed (air flow velocity). The fan was fixed
at the front of a short cylindrical pipe of diameter 15 cm,
and length 5 cm, positioned at the entrance of the dryer. The
fan was powered by a 20 watts capacity solar panel that was
connected to 12 volts, 5 Amps, D.C battery for power
storage.
2.2 Experimental Test Using the Solar Dryer
2.2.1 Materials and Instrumentation
The materials and instrumentation used for the drying test
include: fresh samples of cassava noodles (tapioca), wet and
dry bulb thermometer, digital hygrometer, digital weighing
balance, electric oven, digital air flow meter, hand-held
pyranometer, and stop clock.
2.2.2 Sample Preparation
Large quantities of freshly prepared tapioca were purchased
from the Owerri main market. These tapioca samples which
were processed from the same variety of cassava tubers (NR
8082) have an average moisture content of 297% (db). The
tapioca samples, with thicknesses ranging from 0.21 to 0.26
cm with average value of 0.24 cm, have an average length of
8 cm and width of 0.3 cm.
2.2.3 Procedure for the Experimental Test
The experiment was designed to be in the form of a 3 x 2
factorial with 3 replications, in completely randomized
design (CRD). The factors are air flow velocity with levels:
1.5, 2.5, and 3.5 m/s; and layer thickness of tapioca with
levels 0.48 and 0.72 cm. At the beginning of the experiment,
the flat plate solar dryer was positioned in an open place,
away from tall trees and buildings, so as to minimize the
effect of shading. The solar dryer was aligned in the North-
South axis, and positioned to face South as recommended in
literature (Duffie and Beckman, 2006; Tiwari, 2012). This
was to maximize the solar radiation falling on the surface of
the dryer.
The dryer was allowed to run for 30 minutes under no load,
before the commencement of drying tests. This enabled the
dryer to attain equilibrium conditions. The mass of the
tapioca samples corresponding to the layer thicknesses of
0.48 cm and 0.72 cm were weighed using the digital
weighing balance (OHAUS) of capacity 4.1 kg and
sensitivity of 0.01g. The weighed tapioca samples were then
placed inside the dryer cabinet. A fan speed of 1.5 m/s (v1)
was selected. The layer thicknesses of 0.48 and 0.72 cm
were achieved by using two layers (0.48 cm) and three
layers (0.72 cm) of the tapioca samples respectively. ASAE,
(1999) states that a thin – layer is a layer that is fully
exposed to drying air, and should not exceed three layers of
particles (materials) for forced convection drying, at air
velocity not less than 0.3 m/s. A given portion of the tapioca
samples in the dryer cabinet was collected and weighed, to
determine the initial mass of the sample. This given portion
was then put back into a smaller (observation) tray, inside
the dryer cabinet. A similar mass of the tapioca samples was
placed in a drying tray, similar in dimensions to that of the
solar dryer, and dried in the open sun as a comparison
treatment in the experiment. The masses of both the tapioca
samples at both the dryer and the ambient air, were
determined at hourly intervals. Also the dry bulb
temperature and relative humidity of the dryer were
determined at hourly intervals, using the digital hygrometer;
and the wet and dry bulb temperatures of the ambient air
were determined at hourly intervals during the drying test. A
hand-held pyranometer (model: 4890.20; Frederiksen) was
used to measure the insolation falling on the surface of the
solar dryer at hourly intervals.
The drying process continued until equilibrium moisture
content of the tapioca at the given drying conditions was
reached. This point was characterized by a constant mass
recorded for two consecutive measurements of mass during
the drying process. At the end of the drying experiment, the
marked portion of the sample was oven dried at a
temperature of 1000C for 8 hours to obtain the oven dried
mass, as recommended in literature (Kajuna et al., 2001).
The experimental tests for the thin-layer solar drying of
tapioca were done at Federal University of Technology,
Owerri, between the months of September to November,
2014.
The moisture contents (dry basis) M (db) of the tapioca were
determined using Equation (1)
𝑀( 𝑑𝑏) =
𝑚 𝑤𝑝 − 𝑚 𝑑𝑝
𝑚 𝑑𝑝
(100%) (1)
Where M = moisture content of materials (g H2O/100 g dry
matter)
mwp = mass of wet product (g)
mdp = mass of dry product (g)
2.3 Determination of Drying Kinetics of Tapioca
Drying kinetics like system drying efficiency, pick-up
efficiency, and drying rate of tapioca for each observation
(drying experiment) were determined and tabulated. The
drying rate (Rd), which is the rate of change of moisture
content with time, was determined according to (Doymaz,
2013) and expressed in Equation (2).
𝑅 𝑑 =
𝑚 𝑤
𝑡
=
𝑀𝑖 − 𝑀𝑓
𝑡
(2)
Where Mi = initial moisture content of the sample (g
H2O/100 g dry matter)
Mf = final moisture content of the sample (g H2O/100 g dry
matter)
mw = mass of water removed during the drying period
t = drying time (hours)
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 355
The system drying efficiency (ηd) was calculated using
equation (3) as given by Komolafe and Osunde, (2005).
𝜂 𝑑 =
𝑚 𝑤 𝐿 𝑣
𝐼 𝐻 𝐴 𝑐 𝑡
(3)
Where IH = insolation falling on a horizontal surface. All the
other parameters are as previously defined.
The pick-up efficiency (ηp) was calculated using Equation
(4) as given by Brenndorfer et al. (1987).
𝜂 𝑝 =
𝐻 𝑜−𝐻𝑖
𝐻 𝑎𝑠−𝐻𝑖
(4)
Where Ho = absolute humidity of air leaving the drying
chamber
Hi = absolute humidity of air entering the drying chamber
Has = adiabatic saturation humidity of air entering the drying
chamber
4. RESULTS
4.1 Results Obtained for Thin-Layer Solar Drying
of Tapioca
The results of thin-layer solar drying of tapioca are
summarized in Table (1), and Figures (3), (4) and (5); while
the summary of values of temperature, relative humidity,
and insolation are given in Table (2). The results of the
analysis of variance on the effect of air velocity and layer
thickness on thin-layer drying of tapioca are summarized in
Table (3).
Table 1: Mean Values of Moisture Contents for Different Drying Times of the Experiment
B 0.48 0.72
Method Dryer Open sun Dryer Open sun
V 1.5 2.5 3.5 9.5 1.5 2.5 3.5 9.8
TIME(hrs) MOISTURE CONTENT (% , dry basis)
0 297 297 297 297 297 297 297 297
0.5 223 209 227 247 270 269 273 294
1 204 178 193 222 251 257 247 278
2 159 118 147 204 217 214 215 254
3 128 90 123 179 193 189 191 229
4 98 61 94 147 161 148 157 197
5 72 34 71 139 127 111 115 168
6 40 18 52 126 106 78 81 154
7 22 11 36 81 74 59 60 125
7.5 9.8 34
8 14 21 64 37 14 39 93
9 9.8 15 48 17 9.8 23 64
9.5 12 55
10 11 29 9.8 17 40
10.5 9.8
11 22 11 29
11.5 9.8
12 15 22
13 11 15
13.5 9.8
14 10
15 9.8
Average
drying rate
(%/hr) 31.9 39.2 27.35 21.27 27.81 31.9 24.98 19.15
B = layer thickness of tapioca (cm), V = air flow velocity (m/s)
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 356
Table 2: Summary of Temperature, Relative Humidity and Insolation during Drying Compared to Open Air Sun Drying
Drying
Method B V Temperature (0C) Relative Humidity (% )
Insolation
(W/m2)
Drying
Rate
(% /hr)
dryer ambient ∆Tda dryer ambient ∆RH
dryer
0.48
1.5 49.47 31.6 17.87 30.38 73.6 43.22 433.8 31.9
2.5 50.41 32.25 18.16 23.5 67.5 44 468.9 39.2
3.5 49.02 32.2 16.82 26.9 65.67 38.77 464.8 27.35
0.72
1.5 49.37 32.62 16.75 31.6 69.3 37.7 498.6 27.81
2.5 53.59 33.5 20.09 25.25 63.4 38.15 521.2 31.9
3.5 52.86 33.25 19.61 27.1 67.1 40 495.5 24.98
Sun drying 0.48 0.95 49.63 32 0 26.93 68.92 0 455.83 21.27
0.72 0.98 51.94 33.12 0 27.98 66.6 0 505.1 19.15
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 357
Fig 5: Drying Rate Curve for Tapioca at Varying Times for Layer Thickness of 0.48 cm
Table 3: Summary of Analysis of Variance on the Effects of Velocity and Layer Thickness on Drying Rate of Tapioca.
Source of Variation df Sum of squares Mean square Fcal Ftab
Treatment 5 381.93 76.39** 146.3 5.06
V 2 268.37 134.19** 257.06 6.93
B 1 94.76 94.76** 181.53 9.33
VB Interaction 2 18.8 9.4** 18.01 6.93
Error 12 6.26 0.522 - -
Total 17 388.19 - - -
** Highly significant at 1% level of probability
3.2 Results Obtained for System Drying Efficiency
of the Dryer
The system drying efficiency of the solar dryer was
determined from Equation (3). The mw values of 2154 g and
2767.65 g were obtained for layer thicknesses of 0.48 cm
and 0.72 cm respectively. Since the average dryer
temperature for all the experiments is approximately 500C,
the latent heat of vaporization (Lv) at a temperature of 500C
was used for the computation, and this has a value of 2383
J/kg K. the other parameters in Equation (3) were given as
follows: Ac = 0.86 m2, the drying times (t) and values of
insolation were given in Tables (1) and (2). Table (4) shows
the values of the system drying efficiencies corresponding to
each treatment combination of the drying experiment for
tapioca.
Table 4: System Drying Efficiencies for the Different Treatment Combinations of the Drying of Tapioca
B 0.48 0.72
V 1.5 2.5 3.5 1.5 2.5 3.5
Values of system drying efficiency (% )
42.50 47.14 33.97 40.69 45.41 37.38
B = drying layer thickness (cm), V = air flow velocity (m/s), M = initial moisture content (%)
3.3 Results Obtained for Pick-up Efficiency of the
Dryer
The pick-up efficiency for the solar drying of tapioca was
determined using Equation (4). The values of absolute
humidities (hi, ho, has) were determined from the ASHRE
psychrometric chart and given in Table (5). The results of
the pick-up efficiencies of the solar dryer, determined for
the drying of tapioca are summarized in Table (6).
0
20
40
60
80
100
120
140
160
180
200
0 2 4 6 8 10 12
DryingRate(%M.C/hr)
Time (hours)
v=2.5 m/s
v=1.5 m/s
v=3.5 m/s
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 358
Table 5: Values of Absolute Humidities (hi, ho, has), obtained from Psychrometric chart used in the determination of pick-up
efficiencies of the solar Dryer
B 0.48 0.72
V 1.5 2.5 3.5 1.5 2.5 3.5
hi 0.018 0.014 0.016 0.020 0.018 0.021
h0 0.025 0.022 0.021 0.025 0.024 0.024
has 0.032 0.030 0.029 0.032 0.031 0.031
B = drying layer thickness (cm), V = air flow velocity (m/s)
Table 6: Pick-up Efficiencies Obtained for Different Velocities and Thicknesses for the Drying of Tapioca
Pick-up efficiencies for the various treatments
B V = 1.5 V = 2.5 V = 3.5
0.48 42.9 50 38.5
0.72 41.7 46.2 30
B = thickness of drying layer (cm), V = air flow velocity (m/s)
4. DISCUSSION
It was observed from Table (1), that the moisture content of
the tapioca decreased with drying time until the equilibrium
moisture content was reached. It was also observed that the
drying time for the tapioca samples varied with the different
treatment combinations of air flow velocity, thickness of
layer, and drying with the open air (Table 1). In each of
these tests, tapioca samples at initial moisture content of
297% (dry basis) were dried to equilibrium moisture content
of 9.8% (dry basis). The shortest drying time of 7.5 hours
was recorded for the tapioca samples at air flow velocity of
2.5 m/s and layer thickness of 0.48 cm; while the longest
drying time of 11.5 hours was recorded for samples at
velocity of 3.5 m/s and layer thickness of 0.72 cm. It was
observed that the samples in the solar dryer, dried about 1⅔
to 2 times faster than the tapioca samples dried in the open
air. This observation is in line with previous research
findings in related work (Ezeanya et al.,2012; Komolafe and
Osunde, 2005). Also the color of the samples dried inside
the dryer was milky white, while the color of the samples
dried under ambient conditions was dull white to whitish
yellow. This therefore implies that the solar dryer produced
better quality drying than open air sun drying. Table (2)
shows the summary of the temperature, relative humidity,
and insolation obtained during the thin-layer solar drying of
tapioca. From Table (2), it was observed that the average
values of temperature and relative humidity for both the
dryer and ambient air varied with the different treatment
combinations (drying conditions). The average dryer
temperatures ranged from 49.02 to 53.590C, with an average
value of 50.790C; while the average relative humidity values
ranged from 23.5% to 31.6%, with an average value of
27.45%. The study also revealed that the drying rate of the
tapioca samples varied with the different treatment
combinations of the experiment as shown in Tables (1) and
(2).
The fastest drying rate of 39.2 %/hr, was recorded for
tapioca samples at velocity of 2.5 m/s and layer thickness of
0.48 cm; and the lowest drying rate of 24.98 %/hr was
recorded for tapioca samples at velocity of 3.5 m/s and layer
thickness of 0.72 cm.
Figures (3) and (4) show the drying curves (plots of
moisture contents versus time) for the layer thicknesses, and
different air flow velocities used for the drying experiment.
The curves sloped downwards from left to right, showing
that moisture content decreased with increase in drying time.
Figures (3) and (4) also show that the time taken to dry the
tapioca to the equilibrium moisture content of 9.8% (dry
basis), varied with the different air flow velocities and layer
thicknesses of the tapioca.
4.1 Effect of Air-Flow Velocity on the Drying Rate
of Tapioca
Tables (1) and (2); and Figures (3) and (4) show the effect
of the air-flow velocity on the drying rate of tapioca. It is
evident from these tables and figures that the drying rate
increased with increase in air flow velocity, for air-flow
velocities of 1.5 m/s to 2.5 m/s; which agrees with similar
research findings reported by Saeed (2010) and Iguaz et al
(2003). This trend may be as a result of the fact that higher
velocities improve the rate of moisture transfer (effective
moisture diffusivity) from the product being dried, thus
resulting in faster rate of drying. However, increasing the
air-flow velocity to 3.5 m/s extended the drying time thus
reducing the drying rate (Tables 1 and 2). This development
may be attributed to the quick formation of hard layer (case
hardening) at relatively high temperature and velocity. This
layer increased resistance to transport (diffusion) of
moisture from the tissues of the dried product, thus
preventing water vapor concentration from reaching
equilibrium in time. This phenomenon was also reported by
Togrul and Pehlivan (2002) and Saeed (2010). The analysis
of variance summarized in Table (3), shows that the effect
of air velocity on thin-layer solar drying of tapioca was
highly significant at 1% level of probability.
4.2 Effect of Layer Thickness on Drying Rate of
Tapioca
The experimental data samples in Tables (1) and (2), and the
drying curves in Figures (3) and (4) show that the drying
time generally increased with increasing layer thickness of
the tapioca samples, for samples at the same velocity and
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 359
initial moisture content. Thus drying rates were higher for
samples dried at layer thickness of 0.48 cm than for the
samples dried at 0.72 cm. This trend in the drying
characteristics of tapioca agrees with similar research
findings in the literature, reported for cassava chips, apple
(var Golab), and eggplant slices (Kajuna et al., 2001;
Meisame Ail and Rafiee, 2009; Ertekin and Yalidz, 2004).
This behavior may be attributed to the fact that the thicker
the layers of a moist material are, the higher the amount of
water it contains and thus for a fixed quantity of heat energy
available for the drying process, the longer time required to
remove the water from such material. From Table (3), it was
evident that the effect of layer thickness on the thin-layer
solar drying of tapioca was highly significant at 1% level of
probability.
Figure (5) is a graphical plot, showing the variation of the
drying rates of tapioca with drying time, for the tapioca
samples dried at thicknesses of 0.48 cm. From these plots
(Figures 5), it was evident that the drying rate was highest at
the beginning of the drying experiment, and gradually
reduced towards the end of the drying experiment. This
implies that the drying of the tapioca samples took place
entirely in the falling rate period of drying.
4.3 Effects ofAir Velocity and Layer Thickness on
System Drying Efficiency
From Table (4), it was observed that the system drying
efficiencies varied with the different treatment combinations
of the experiment. The efficiencies ranged from a maximum
mean value of 47.14% for tapioca samples dried at layer
thickness of 0.48 cm and velocity of 2.5 m/s; to a minimum
mean value of 33.97% for tapioca samples dried at layer
thickness of 0.48 cm and velocity of 3.5 m/s. These
efficiencies are within the range reported for solar drying of
related agricultural products like tomato and cassava chips
(Komolafe and Osunde, 2005; Aliyu and Jubril, 2009).
These values of the system drying efficiency imply that the
dryer was able to convert a reasonable part of the solar
radiation incident on its surface to heat energy used in the
drying of the tapioca.
4.4 Effects ofAir Velocity and Layer Thickness on
Pick-up Efficiency
It is evident from Table (6) that the pick-up efficiencies
varied with the different treatments of the experiment. The
maximum pick-up efficiency of 50% was determined for
layer thickness of 0.48 cm and air flow velocity of 2.5 m/s;
while the least pick-up efficiency of 30% was determined
for layer thickness of 0.72 cm and air flow velocity of 3.5
m/s. The reasonable high value of the pick-up efficiency
indicates that the tapioca samples were able to absorb
reasonable quantity of heat from the drying air.
5. CONCLUSION
Thin-layer solar drying kinetics of tapioca was studied. The
summary of the results show that the drying of tapioca
occurred entirely in the falling rate drying period; and the
drying rate of tapioca varied with the air flow velocity and
the layer thickness of the tapioca.
A maximum drying rate of 39.2%/hr was obtained for the
tapioca samples dried at air flow velocity of 2.5 m/s and
layer thickness of 0.48 cm; while the lowest drying rate of
33.97%/hr was obtained for the tapioca samples dried at air
flow velocity of 3.5 m/s, and layer thickness of 0.72 cm
during the experiment. The study also revealed that the solar
dried tapioca samples dried about 1⅔ to 2 times faster than
the tapioca samples dried under ambient conditions. A
maximum system drying efficiency of 47.14% was obtained
for tapioca samples dried at layer thickness of 0.48 cm and
air velocity of 2.5 m/s. Also the maximum pick-up
efficiency of 50% was obtained for tapioca samples dried at
layer thickness of 0.48 cm and air flow velocity of 2.5 m/s.
REFERENCES
[1] Aliyu, A.B and H. Jibril, 2009. Utilization of green
house effect for solar drying of cassava chips.
International J. Physical Sci., 4(11): 615-622
[2] ASAE (1999). Thin – layer drying of crops and grains.
American Society of Agricultural Engineers’
Standards: 581-583
[3] Brenndorfer, B., L. Kennedy., S.O. Oswin-Bateman.,
D.S. Trim., G.C Mrema., and C. Wereko-Brobby,
1987. Solar dryers - their role in post-harvest
processing. Commonwealth Secretariat Publications.
London.
[4] Doymaz, I., 2013. Determination of infrared drying
characteristics and modeling of drying Behavior of
carrot pomace. J. Agric. Sci, 19(2013): 44 - 53.
[5] Duffie, J. A and W. A. Beckman, 2006. Solar
engineering of thermal processes, third edition. John
Wiley and Sons Inc. New Jersey. USA.
[6] Ertekin, C. and O. Yaldiz, 2004. Drying of eggplant
and selection of a suitable thin layer drying model. J.
Food Eng., 6: 349-359.
[7] Ezeanya, N.C., K.N. Nwaigwe and P.E. Ugwuoke,
2012. Analysis of the effects of a flat Plate solar dryer
geometry on the drying rate of agricultural seeds. Asian
J. Agric. Sci., 4(5): 333-336.
[8] FAO, 1985. Year production Book, Rome, Italy. Vol
39.
[9] FAO, 2012. Food Outlook. Global market analysis.
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[10] Iguaz, A., M.B. San Martin., J.I. Mate., T. Fernandez
and P. Fernandez, 2003. modeling of effective moisture
diffusivity of rough rice (Lido cultivar) at low drying
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[11] Ihekoronye, I. A and P. O Ngoddy, 1985. Integrated
Food Science and Technology for the tropics.
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P.J.J. Makungu, 2001. Thin layer drying of diced
cassava roots. African J. Sci. and Tech. Science and
Engineering series, 2 (2): 94 – 100.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________________
Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 360
[13] Komolafe, G.O and Z.D. Osunde, 2005. Design and
performance evaluation of small size natural
convection solar vegetable dryer. Proceedings of NIAE,
27: 215 - 221.
[14] Meisami-asl, E and S. Rafiee, 2009. Mathematical
modeling of kinetics of thin layer drying of Apple (var.
Golab). CIGR E journal. Manuscript 1185, vol XI.
[15] idilli, A., H. Kucuk and Z. Yapar, 2002. A new model
for single layer drying. Drying Tech., 20: 1503 – 1513
[16] Phuc, B.H.N., Ogle, B and Lindbergh, J.E. (2000).
Effect of replacing soybean meal with cassava leaf
protein in cassava root meal based diets for growing
pigs on digestibility and N – retention, Animal Feed
Science Technology, 83: 223 – 235.
[17] Sacilik, K., 2007. Effect of drying methods on thin-
layer drying of hull-less seed pumpkin (curcubita pepo
L.) J. Food Eng., 79: 23 – 30.
[18] Saeed, I.E., 2010. Solar drying of roselle (Hibiscus
Sabdarifa L.) (1): Mathematical modeling, drying
experiments, effects of the drying conditions. J. CIGR.,
12 (3):115 – 123
[19] Tiwari, G. N., 2012. Solar Energy: fundamentals,
design, modeling and applications. Narosa Publishing
house, PVT Ltd. New Delhi. 9th Edition.
[20] Togrul, I.T and D. Pehlivan, 2002. Mathematical
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Food Eng., 55(1): 209 – 216.

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Determining thin-layer drying kinetics of cassava noodles using solar dryer

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 352 DETERMINATION OF THIN-LAYER SOLAR DRYING KINETICS OF CASSAVA NOODLES (TAPIOCA) N.C. Ezeanya1, C.C. Egwuonwu2, A.B Istifanus3, V.C Okafor4 1 Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria 2 Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria 3 Department of Agricultural and Bio-Environmental Engineering, Taraba State College of Agriculture, Jalingo, Nigeria 4 Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria Abstract The aim of this study is to determine the thin-layer drying kinetics of cassava noodles (tapioca) using a solar dryer. To achieve this, an integral type forced convection solar dryer, equipped with rock storage, was developed. Drying kinetics of tapioca were determined using the solar dryer. The treatments in the experiment comprise of air flow velocities (V) of 1.5, 2.5, and 3.5 m/s; and drying layer thicknesses (B) of 0.48 and 0.72 cm. Tapioca samples were dried from an average initial moisture content of 297% (dry basis) to 9.8% (dry basis). Control experiments in the form of open air sun drying of similar quantity of tapioca were also set up and monitored. Graphical plotsof moisture content versus drying time, exhibited the characteristic moisture desorption cu rve, characterized by initial high rate of moisture removal, followed by a slower rate of moisture removal. It was observed from drying rate curves plotted using the drying data, that the drying of the tapioca took place entirely in the falling rate period. The drying rate of the tapioca varied with the different combinations of velocity and drying layer thickness. The drying rate of the tapioca increased with increase in the air flow velocity until velocity of 2.5 m/s; beyond this velocity the drying rate reduced slig htly. Also the drying rate of tapioca decreased with increase in drying layer thickness. A maximum drying rate of 39.2%/hr was obtained during the experiment. The maximum system drying efficiency of the dryer was determined as 47.14%, while the maximum dryer pick-up efficiency of 50% was determined during the drying test. Keywords: Air Flow Velocity, Drying Rate, Forced Convection, Layer Thickness, Moisture Content, Solar Dryer ---------------------------------------------------------------------***--------------------------------------------------------------------- 1. INTRODUCTION Drying is one of the oldest and important method of food preservation, practiced by humans (Midilli et al., 2002; Sacilik, 2007). The main purpose of drying agricultural materials is to provide longer periods of storage, minimize packaging requirements and reduce transportation weights and costs. Over the years, conventional energy sources like fossil fuel, electricity, and biomass sources had been used as energy sources for heat generation and fan operation in dryers. However, these energy sources are either very costly or non-renewable in nature. The solar energy is fast becoming an alternative source of energy, because of high rate of depletion of the conventional energy sources. It has many advantages over other alternative energy sources, because of its relative abundance, low cost, inexhaustible nature and zero pollution. Nigeria is the largest producer of cassava in the world (FA0, 1985; 2012), with over 14 million metric tonnes produced in 1985 to over 40 million metric tonnes produced in 2010. Cassava noodle (tapioca) is a cassava-by product, that is popular and relished by the Eastern and Southern Nigerians. Tapioca is normally produced in two types. The first type is in the form of long thread-like strands (Figure 1a), which is normally dried and preserved (stored). This type is normally sold in the market in the dried form. The second type is in the form of rectangular-shaped flakes (Figure 1b), which is normally sold in the fresh form. This second type is normally eaten in the fresh form with coconut and peanuts, as a local snack. Also the dried tapioca are usually soaked in water and eaten with or without coconut or peanuts as snack (Ihekoronye and Ngoddy, 1985). The softened tapioca also known locally as abacha, cooked with vegetable, palm oil, fish and other food seasoners is known as local (African) salad. The thread-like form of tapioca was used in this research. Freshly produced tapioca normally have moisture content range of 65% to 90% (wet basis), and have safe storage moisture content of 8% (wet basis). This therefore implies that a reasonable quantity of heat energy should be developed by a dryer, for the drying of tapioca within the desired time. Quick drying of tapioca is advantageous in the sense that risks of contamination and mould growth are minimized. Also, drying and ensiling have been found to be effective ways of reducing the toxicity of cassava products (Phuc et al., 2000; Kajuna et al., 2001). Tapioca strands are normally dried using direct sun method and heat from the fire place.
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 353 Fig 1(a): Thread-like form of tapioca Fig 1(b): Rectangular-shaped form of tapioca These methods are associated with slow rate of drying, exposure of the dried materials to the attack of insects and rodents, and the occasional charring of the materials in the presence of excessive and uncontrolled sun’s radiation and heat source. The traditional sun drying of tapioca normally takes an average of 4 to 5 days to complete. Several research works on thin-layer drying kinetics of some cassava by- products and other agricultural materials are reported in the literature. However, no research work on thin-layer solar drying kinetics for cassava noodles (tapioca) is contained in the literature. Therefore the objectives of this work are (i) to develop an effective solar drying system and (ii) to it to determine the drying kinetics of tapioca. 2. MATERIALS AND METHODS 2.1 Description of the Equipment The dryer used for the experiment is a forced convection integral type flat plate solar collector (Figure 2). It consists of a solar collector chamber and dryer cabinet both of which were integrated into one unit, fan/blower unit, heat storage unit and chimney. The solar collector chamber consists of a wooden box of rectangular cross-section, having a length of 1.15 m and width of 0.75 m, thus giving a cross-sectional area of 0.86 m2. The top of the collector chamber was titled at an angle of 5029 ̍ which is the latitude of Owerri. The top of this section was covered with a plain glass, which acts as the glazing material. Fig 2: Schematic Drawing of the Solar Dryer The base of this unit was lined with a layer of dark painted pebbles, which act as a thermal storage unit. A galvanized steel plate with the same dimensions as the collector area and painted dull black was used as an absorber plate. This absorber plate overlay the thermal storage unit. The solar collector has a hole of diameter 15 cm at the entrance, used for mounting the fan unit. Also a hole of dimensions 8 cm x 8 cm, drilled at the exit point, serves as the exit for exhaust air. It also has two access doors used to control the operations. The drying chamber consists of two racks, each containing two trays of dimensions 0.44 m length x 0.44 m width and depth of 0.04m. Each of the racks was supported by a ITEM DESCRIPTION QTY A Glazing Material 1 B Fan Unit 1 C AbsorberPlate 1 D Rock Storage E Stand 4 F Drying Rack 2 G Access Door 1 H Rollers 4 C F A B G D E H 44 45 20 Ø 3 15 30 115
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 354 wooden stand. The outer part of the dryer was painted dull black while the interior sides were lined with aluminum foil, so as to enhance reflectivity of heat inside the dryer chamber. Axial flow fan was used in the solar dryer. The fan was equipped with a speed regulator which helped to regulate the fan speed (air flow velocity). The fan was fixed at the front of a short cylindrical pipe of diameter 15 cm, and length 5 cm, positioned at the entrance of the dryer. The fan was powered by a 20 watts capacity solar panel that was connected to 12 volts, 5 Amps, D.C battery for power storage. 2.2 Experimental Test Using the Solar Dryer 2.2.1 Materials and Instrumentation The materials and instrumentation used for the drying test include: fresh samples of cassava noodles (tapioca), wet and dry bulb thermometer, digital hygrometer, digital weighing balance, electric oven, digital air flow meter, hand-held pyranometer, and stop clock. 2.2.2 Sample Preparation Large quantities of freshly prepared tapioca were purchased from the Owerri main market. These tapioca samples which were processed from the same variety of cassava tubers (NR 8082) have an average moisture content of 297% (db). The tapioca samples, with thicknesses ranging from 0.21 to 0.26 cm with average value of 0.24 cm, have an average length of 8 cm and width of 0.3 cm. 2.2.3 Procedure for the Experimental Test The experiment was designed to be in the form of a 3 x 2 factorial with 3 replications, in completely randomized design (CRD). The factors are air flow velocity with levels: 1.5, 2.5, and 3.5 m/s; and layer thickness of tapioca with levels 0.48 and 0.72 cm. At the beginning of the experiment, the flat plate solar dryer was positioned in an open place, away from tall trees and buildings, so as to minimize the effect of shading. The solar dryer was aligned in the North- South axis, and positioned to face South as recommended in literature (Duffie and Beckman, 2006; Tiwari, 2012). This was to maximize the solar radiation falling on the surface of the dryer. The dryer was allowed to run for 30 minutes under no load, before the commencement of drying tests. This enabled the dryer to attain equilibrium conditions. The mass of the tapioca samples corresponding to the layer thicknesses of 0.48 cm and 0.72 cm were weighed using the digital weighing balance (OHAUS) of capacity 4.1 kg and sensitivity of 0.01g. The weighed tapioca samples were then placed inside the dryer cabinet. A fan speed of 1.5 m/s (v1) was selected. The layer thicknesses of 0.48 and 0.72 cm were achieved by using two layers (0.48 cm) and three layers (0.72 cm) of the tapioca samples respectively. ASAE, (1999) states that a thin – layer is a layer that is fully exposed to drying air, and should not exceed three layers of particles (materials) for forced convection drying, at air velocity not less than 0.3 m/s. A given portion of the tapioca samples in the dryer cabinet was collected and weighed, to determine the initial mass of the sample. This given portion was then put back into a smaller (observation) tray, inside the dryer cabinet. A similar mass of the tapioca samples was placed in a drying tray, similar in dimensions to that of the solar dryer, and dried in the open sun as a comparison treatment in the experiment. The masses of both the tapioca samples at both the dryer and the ambient air, were determined at hourly intervals. Also the dry bulb temperature and relative humidity of the dryer were determined at hourly intervals, using the digital hygrometer; and the wet and dry bulb temperatures of the ambient air were determined at hourly intervals during the drying test. A hand-held pyranometer (model: 4890.20; Frederiksen) was used to measure the insolation falling on the surface of the solar dryer at hourly intervals. The drying process continued until equilibrium moisture content of the tapioca at the given drying conditions was reached. This point was characterized by a constant mass recorded for two consecutive measurements of mass during the drying process. At the end of the drying experiment, the marked portion of the sample was oven dried at a temperature of 1000C for 8 hours to obtain the oven dried mass, as recommended in literature (Kajuna et al., 2001). The experimental tests for the thin-layer solar drying of tapioca were done at Federal University of Technology, Owerri, between the months of September to November, 2014. The moisture contents (dry basis) M (db) of the tapioca were determined using Equation (1) 𝑀( 𝑑𝑏) = 𝑚 𝑤𝑝 − 𝑚 𝑑𝑝 𝑚 𝑑𝑝 (100%) (1) Where M = moisture content of materials (g H2O/100 g dry matter) mwp = mass of wet product (g) mdp = mass of dry product (g) 2.3 Determination of Drying Kinetics of Tapioca Drying kinetics like system drying efficiency, pick-up efficiency, and drying rate of tapioca for each observation (drying experiment) were determined and tabulated. The drying rate (Rd), which is the rate of change of moisture content with time, was determined according to (Doymaz, 2013) and expressed in Equation (2). 𝑅 𝑑 = 𝑚 𝑤 𝑡 = 𝑀𝑖 − 𝑀𝑓 𝑡 (2) Where Mi = initial moisture content of the sample (g H2O/100 g dry matter) Mf = final moisture content of the sample (g H2O/100 g dry matter) mw = mass of water removed during the drying period t = drying time (hours)
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 355 The system drying efficiency (ηd) was calculated using equation (3) as given by Komolafe and Osunde, (2005). 𝜂 𝑑 = 𝑚 𝑤 𝐿 𝑣 𝐼 𝐻 𝐴 𝑐 𝑡 (3) Where IH = insolation falling on a horizontal surface. All the other parameters are as previously defined. The pick-up efficiency (ηp) was calculated using Equation (4) as given by Brenndorfer et al. (1987). 𝜂 𝑝 = 𝐻 𝑜−𝐻𝑖 𝐻 𝑎𝑠−𝐻𝑖 (4) Where Ho = absolute humidity of air leaving the drying chamber Hi = absolute humidity of air entering the drying chamber Has = adiabatic saturation humidity of air entering the drying chamber 4. RESULTS 4.1 Results Obtained for Thin-Layer Solar Drying of Tapioca The results of thin-layer solar drying of tapioca are summarized in Table (1), and Figures (3), (4) and (5); while the summary of values of temperature, relative humidity, and insolation are given in Table (2). The results of the analysis of variance on the effect of air velocity and layer thickness on thin-layer drying of tapioca are summarized in Table (3). Table 1: Mean Values of Moisture Contents for Different Drying Times of the Experiment B 0.48 0.72 Method Dryer Open sun Dryer Open sun V 1.5 2.5 3.5 9.5 1.5 2.5 3.5 9.8 TIME(hrs) MOISTURE CONTENT (% , dry basis) 0 297 297 297 297 297 297 297 297 0.5 223 209 227 247 270 269 273 294 1 204 178 193 222 251 257 247 278 2 159 118 147 204 217 214 215 254 3 128 90 123 179 193 189 191 229 4 98 61 94 147 161 148 157 197 5 72 34 71 139 127 111 115 168 6 40 18 52 126 106 78 81 154 7 22 11 36 81 74 59 60 125 7.5 9.8 34 8 14 21 64 37 14 39 93 9 9.8 15 48 17 9.8 23 64 9.5 12 55 10 11 29 9.8 17 40 10.5 9.8 11 22 11 29 11.5 9.8 12 15 22 13 11 15 13.5 9.8 14 10 15 9.8 Average drying rate (%/hr) 31.9 39.2 27.35 21.27 27.81 31.9 24.98 19.15 B = layer thickness of tapioca (cm), V = air flow velocity (m/s)
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 356 Table 2: Summary of Temperature, Relative Humidity and Insolation during Drying Compared to Open Air Sun Drying Drying Method B V Temperature (0C) Relative Humidity (% ) Insolation (W/m2) Drying Rate (% /hr) dryer ambient ∆Tda dryer ambient ∆RH dryer 0.48 1.5 49.47 31.6 17.87 30.38 73.6 43.22 433.8 31.9 2.5 50.41 32.25 18.16 23.5 67.5 44 468.9 39.2 3.5 49.02 32.2 16.82 26.9 65.67 38.77 464.8 27.35 0.72 1.5 49.37 32.62 16.75 31.6 69.3 37.7 498.6 27.81 2.5 53.59 33.5 20.09 25.25 63.4 38.15 521.2 31.9 3.5 52.86 33.25 19.61 27.1 67.1 40 495.5 24.98 Sun drying 0.48 0.95 49.63 32 0 26.93 68.92 0 455.83 21.27 0.72 0.98 51.94 33.12 0 27.98 66.6 0 505.1 19.15
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 357 Fig 5: Drying Rate Curve for Tapioca at Varying Times for Layer Thickness of 0.48 cm Table 3: Summary of Analysis of Variance on the Effects of Velocity and Layer Thickness on Drying Rate of Tapioca. Source of Variation df Sum of squares Mean square Fcal Ftab Treatment 5 381.93 76.39** 146.3 5.06 V 2 268.37 134.19** 257.06 6.93 B 1 94.76 94.76** 181.53 9.33 VB Interaction 2 18.8 9.4** 18.01 6.93 Error 12 6.26 0.522 - - Total 17 388.19 - - - ** Highly significant at 1% level of probability 3.2 Results Obtained for System Drying Efficiency of the Dryer The system drying efficiency of the solar dryer was determined from Equation (3). The mw values of 2154 g and 2767.65 g were obtained for layer thicknesses of 0.48 cm and 0.72 cm respectively. Since the average dryer temperature for all the experiments is approximately 500C, the latent heat of vaporization (Lv) at a temperature of 500C was used for the computation, and this has a value of 2383 J/kg K. the other parameters in Equation (3) were given as follows: Ac = 0.86 m2, the drying times (t) and values of insolation were given in Tables (1) and (2). Table (4) shows the values of the system drying efficiencies corresponding to each treatment combination of the drying experiment for tapioca. Table 4: System Drying Efficiencies for the Different Treatment Combinations of the Drying of Tapioca B 0.48 0.72 V 1.5 2.5 3.5 1.5 2.5 3.5 Values of system drying efficiency (% ) 42.50 47.14 33.97 40.69 45.41 37.38 B = drying layer thickness (cm), V = air flow velocity (m/s), M = initial moisture content (%) 3.3 Results Obtained for Pick-up Efficiency of the Dryer The pick-up efficiency for the solar drying of tapioca was determined using Equation (4). The values of absolute humidities (hi, ho, has) were determined from the ASHRE psychrometric chart and given in Table (5). The results of the pick-up efficiencies of the solar dryer, determined for the drying of tapioca are summarized in Table (6). 0 20 40 60 80 100 120 140 160 180 200 0 2 4 6 8 10 12 DryingRate(%M.C/hr) Time (hours) v=2.5 m/s v=1.5 m/s v=3.5 m/s
  • 7. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 358 Table 5: Values of Absolute Humidities (hi, ho, has), obtained from Psychrometric chart used in the determination of pick-up efficiencies of the solar Dryer B 0.48 0.72 V 1.5 2.5 3.5 1.5 2.5 3.5 hi 0.018 0.014 0.016 0.020 0.018 0.021 h0 0.025 0.022 0.021 0.025 0.024 0.024 has 0.032 0.030 0.029 0.032 0.031 0.031 B = drying layer thickness (cm), V = air flow velocity (m/s) Table 6: Pick-up Efficiencies Obtained for Different Velocities and Thicknesses for the Drying of Tapioca Pick-up efficiencies for the various treatments B V = 1.5 V = 2.5 V = 3.5 0.48 42.9 50 38.5 0.72 41.7 46.2 30 B = thickness of drying layer (cm), V = air flow velocity (m/s) 4. DISCUSSION It was observed from Table (1), that the moisture content of the tapioca decreased with drying time until the equilibrium moisture content was reached. It was also observed that the drying time for the tapioca samples varied with the different treatment combinations of air flow velocity, thickness of layer, and drying with the open air (Table 1). In each of these tests, tapioca samples at initial moisture content of 297% (dry basis) were dried to equilibrium moisture content of 9.8% (dry basis). The shortest drying time of 7.5 hours was recorded for the tapioca samples at air flow velocity of 2.5 m/s and layer thickness of 0.48 cm; while the longest drying time of 11.5 hours was recorded for samples at velocity of 3.5 m/s and layer thickness of 0.72 cm. It was observed that the samples in the solar dryer, dried about 1⅔ to 2 times faster than the tapioca samples dried in the open air. This observation is in line with previous research findings in related work (Ezeanya et al.,2012; Komolafe and Osunde, 2005). Also the color of the samples dried inside the dryer was milky white, while the color of the samples dried under ambient conditions was dull white to whitish yellow. This therefore implies that the solar dryer produced better quality drying than open air sun drying. Table (2) shows the summary of the temperature, relative humidity, and insolation obtained during the thin-layer solar drying of tapioca. From Table (2), it was observed that the average values of temperature and relative humidity for both the dryer and ambient air varied with the different treatment combinations (drying conditions). The average dryer temperatures ranged from 49.02 to 53.590C, with an average value of 50.790C; while the average relative humidity values ranged from 23.5% to 31.6%, with an average value of 27.45%. The study also revealed that the drying rate of the tapioca samples varied with the different treatment combinations of the experiment as shown in Tables (1) and (2). The fastest drying rate of 39.2 %/hr, was recorded for tapioca samples at velocity of 2.5 m/s and layer thickness of 0.48 cm; and the lowest drying rate of 24.98 %/hr was recorded for tapioca samples at velocity of 3.5 m/s and layer thickness of 0.72 cm. Figures (3) and (4) show the drying curves (plots of moisture contents versus time) for the layer thicknesses, and different air flow velocities used for the drying experiment. The curves sloped downwards from left to right, showing that moisture content decreased with increase in drying time. Figures (3) and (4) also show that the time taken to dry the tapioca to the equilibrium moisture content of 9.8% (dry basis), varied with the different air flow velocities and layer thicknesses of the tapioca. 4.1 Effect of Air-Flow Velocity on the Drying Rate of Tapioca Tables (1) and (2); and Figures (3) and (4) show the effect of the air-flow velocity on the drying rate of tapioca. It is evident from these tables and figures that the drying rate increased with increase in air flow velocity, for air-flow velocities of 1.5 m/s to 2.5 m/s; which agrees with similar research findings reported by Saeed (2010) and Iguaz et al (2003). This trend may be as a result of the fact that higher velocities improve the rate of moisture transfer (effective moisture diffusivity) from the product being dried, thus resulting in faster rate of drying. However, increasing the air-flow velocity to 3.5 m/s extended the drying time thus reducing the drying rate (Tables 1 and 2). This development may be attributed to the quick formation of hard layer (case hardening) at relatively high temperature and velocity. This layer increased resistance to transport (diffusion) of moisture from the tissues of the dried product, thus preventing water vapor concentration from reaching equilibrium in time. This phenomenon was also reported by Togrul and Pehlivan (2002) and Saeed (2010). The analysis of variance summarized in Table (3), shows that the effect of air velocity on thin-layer solar drying of tapioca was highly significant at 1% level of probability. 4.2 Effect of Layer Thickness on Drying Rate of Tapioca The experimental data samples in Tables (1) and (2), and the drying curves in Figures (3) and (4) show that the drying time generally increased with increasing layer thickness of the tapioca samples, for samples at the same velocity and
  • 8. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 359 initial moisture content. Thus drying rates were higher for samples dried at layer thickness of 0.48 cm than for the samples dried at 0.72 cm. This trend in the drying characteristics of tapioca agrees with similar research findings in the literature, reported for cassava chips, apple (var Golab), and eggplant slices (Kajuna et al., 2001; Meisame Ail and Rafiee, 2009; Ertekin and Yalidz, 2004). This behavior may be attributed to the fact that the thicker the layers of a moist material are, the higher the amount of water it contains and thus for a fixed quantity of heat energy available for the drying process, the longer time required to remove the water from such material. From Table (3), it was evident that the effect of layer thickness on the thin-layer solar drying of tapioca was highly significant at 1% level of probability. Figure (5) is a graphical plot, showing the variation of the drying rates of tapioca with drying time, for the tapioca samples dried at thicknesses of 0.48 cm. From these plots (Figures 5), it was evident that the drying rate was highest at the beginning of the drying experiment, and gradually reduced towards the end of the drying experiment. This implies that the drying of the tapioca samples took place entirely in the falling rate period of drying. 4.3 Effects ofAir Velocity and Layer Thickness on System Drying Efficiency From Table (4), it was observed that the system drying efficiencies varied with the different treatment combinations of the experiment. The efficiencies ranged from a maximum mean value of 47.14% for tapioca samples dried at layer thickness of 0.48 cm and velocity of 2.5 m/s; to a minimum mean value of 33.97% for tapioca samples dried at layer thickness of 0.48 cm and velocity of 3.5 m/s. These efficiencies are within the range reported for solar drying of related agricultural products like tomato and cassava chips (Komolafe and Osunde, 2005; Aliyu and Jubril, 2009). These values of the system drying efficiency imply that the dryer was able to convert a reasonable part of the solar radiation incident on its surface to heat energy used in the drying of the tapioca. 4.4 Effects ofAir Velocity and Layer Thickness on Pick-up Efficiency It is evident from Table (6) that the pick-up efficiencies varied with the different treatments of the experiment. The maximum pick-up efficiency of 50% was determined for layer thickness of 0.48 cm and air flow velocity of 2.5 m/s; while the least pick-up efficiency of 30% was determined for layer thickness of 0.72 cm and air flow velocity of 3.5 m/s. The reasonable high value of the pick-up efficiency indicates that the tapioca samples were able to absorb reasonable quantity of heat from the drying air. 5. CONCLUSION Thin-layer solar drying kinetics of tapioca was studied. The summary of the results show that the drying of tapioca occurred entirely in the falling rate drying period; and the drying rate of tapioca varied with the air flow velocity and the layer thickness of the tapioca. A maximum drying rate of 39.2%/hr was obtained for the tapioca samples dried at air flow velocity of 2.5 m/s and layer thickness of 0.48 cm; while the lowest drying rate of 33.97%/hr was obtained for the tapioca samples dried at air flow velocity of 3.5 m/s, and layer thickness of 0.72 cm during the experiment. The study also revealed that the solar dried tapioca samples dried about 1⅔ to 2 times faster than the tapioca samples dried under ambient conditions. A maximum system drying efficiency of 47.14% was obtained for tapioca samples dried at layer thickness of 0.48 cm and air velocity of 2.5 m/s. Also the maximum pick-up efficiency of 50% was obtained for tapioca samples dried at layer thickness of 0.48 cm and air flow velocity of 2.5 m/s. REFERENCES [1] Aliyu, A.B and H. Jibril, 2009. Utilization of green house effect for solar drying of cassava chips. International J. Physical Sci., 4(11): 615-622 [2] ASAE (1999). Thin – layer drying of crops and grains. American Society of Agricultural Engineers’ Standards: 581-583 [3] Brenndorfer, B., L. Kennedy., S.O. Oswin-Bateman., D.S. Trim., G.C Mrema., and C. Wereko-Brobby, 1987. Solar dryers - their role in post-harvest processing. Commonwealth Secretariat Publications. London. [4] Doymaz, I., 2013. 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  • 9. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________________ Volume: 05 Issue: 08 | Aug-2016, Available @ http://ijret.esatjournals.org 360 [13] Komolafe, G.O and Z.D. Osunde, 2005. Design and performance evaluation of small size natural convection solar vegetable dryer. Proceedings of NIAE, 27: 215 - 221. [14] Meisami-asl, E and S. Rafiee, 2009. Mathematical modeling of kinetics of thin layer drying of Apple (var. Golab). CIGR E journal. Manuscript 1185, vol XI. [15] idilli, A., H. Kucuk and Z. Yapar, 2002. A new model for single layer drying. Drying Tech., 20: 1503 – 1513 [16] Phuc, B.H.N., Ogle, B and Lindbergh, J.E. (2000). Effect of replacing soybean meal with cassava leaf protein in cassava root meal based diets for growing pigs on digestibility and N – retention, Animal Feed Science Technology, 83: 223 – 235. [17] Sacilik, K., 2007. Effect of drying methods on thin- layer drying of hull-less seed pumpkin (curcubita pepo L.) J. Food Eng., 79: 23 – 30. [18] Saeed, I.E., 2010. Solar drying of roselle (Hibiscus Sabdarifa L.) (1): Mathematical modeling, drying experiments, effects of the drying conditions. J. CIGR., 12 (3):115 – 123 [19] Tiwari, G. N., 2012. Solar Energy: fundamentals, design, modeling and applications. Narosa Publishing house, PVT Ltd. New Delhi. 9th Edition. [20] Togrul, I.T and D. Pehlivan, 2002. Mathematical modeling of solar drying of apricots in thin-layers. J. Food Eng., 55(1): 209 – 216.