25 research outputs found
Energetic and exergetic analysis of a convective drier: A case study of potato drying process
This research work focused on the evaluation of energy and exergy in the convective drying of potato slices. Experiments were conducted at four air temperatures (40, 50, 60 and 70 ÂșC) and three air velocities (0.5, 1.0 and 1.5 m/s) in a convective dryer, with circulating heated air. Freshly harvested potatoes with initial moisture content of 79.9% wet basis were used. The influence of temperature and air velocity was investigated in terms of energy and exergy (energy utilization and energy utilization ratio, exergy losses and exergy efficiency). The calculations for energy and exergy were based on the 1st and 2nd laws of thermodynamics . Results indicated that energy utilization (EU), energy utilization ratio (EUR) and exergy losses decreased along drying time, while exergy efficiency increased. The specific energy consumption (SEC) varied from 1.94Ă105 to 3.14Ă105 kJ/kg. The exergy loss varied in the range of 0.006 to 0.036 kJ/s and the maximum exergy efficiency obtained was 85.85% at 70 ÂșC and 0.5 m/s, while minimum exergy efficiency was 57.07% at 40 ÂșC and 1.5 m/s. Moreover, the values of exergetic improvement potential rate (IP) changed between 0.0016-0.0046 kJ/s and the highest value occurred for drying at 70 ÂșC and 1.5 m/s, whereas the lowest value was for 70 ÂșC and 0.5 m/s. As a result, this knowledge will allow the optimization of convective dryers, when operating for the drying of this food product or others, as well as choosing the most appropriate operating conditions that cause reduction of energy consumption, irreversibilities and losses in the industrial convective drying processes.info:eu-repo/semantics/publishedVersio
Modeling some drying characteristics of cantaloupe slices
This study investigated thin
layer drying of cantaloupe slices under
different drying conditions with initial
moisture content about 18.53 (d.b.). Air
temperature levels of 40, 50, 60 and 70°C
were applied in drying of samples. FickÂŽs
second law in diffusion was applied to
compute the effective moisture diffusivity
(Deff) of cantaloupe slices. Minimum and
maximum values of Deff were 4.05Ă10-10
and 1.61Ă10-9 m2/s, respectively. Deff values
increased as the input air temperature was
increased. Activation energy values of
cantaloupe slices were found between 30.43
and 36.23 kJ/mol for 40°C to 70°C,
respectively. The specific energy
consumption for drying cantaloupe slices
was calculated at the boundary of 1.01Ă105
and 9.55Ă105 kJ/kg. Increasing in drying air
temperature in different air velocities led to
increase in specific energy value. Results
showed that applying the temperature of
70°C is more effective for convective drying
of cantaloupe slices. The aforesaid drying
parameters are important to select the best
operational point of a dryer and to precise
design of the system
Drying kinetics of dill leaves in a convective dryer
Thin layer drying characteristics of dill leaves
under fixed, semi-fluidized, and fluidized bed conditions were
studied at air temperatures of 30, 40, 50, and 60°C. In order to find
a suitable drying curve, 12 thin layer-drying models were fitted to
the experimental data of the moisture ratio. Among the applied
mathematical models, the Midilli et al. model was the best for
drying behavior prediction in thin layer drying of dill leaves. To
obtain the optimum network for drying of dill leaves, various
numbers of multilayer feed-forward neural networks were made
and tested with different numbers of hidden layers and neurons.
The best neural network feed-forward back-propagation topology
for the prediction of drying of dill leaves (moisture ratio and drying
rate) was the 3-45-2 structure with the training algorithm trainlm
and threshold functions logsig and purelin. The coefficient of
determination for this topology for training, validation, and testing
patterns was 0.9998, 0.9981, and 0.9990, respectively. Effective
moisture diffusivity of dill leaves during the drying process in
different bed types was found to be in the range from 7.10 10-12 to
1.62 10-10 m2 s-1. Also, the values of activation energy were determined
to be between 75.435 and 80.118 kJ mol-1