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Mass Transfer Parameters and Modeling of Hot Air Drying Kinetics of Dill Leaves

  • Hosain Darvishi EMAIL logo , Zanyar Farhudi und Nasser Behroozi-Khazaei
Veröffentlicht/Copyright: 11. November 2016
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Abstract

Moisture diffusivity (Dem), mass transfer coefficient (hm), activation energy and drying kinetics of the dill leaves were studied and modeled as a function of temperature (40–70 °C) and moisture content (0.20–5.67 kg water/kg dry matter). Results showed that the Dem and hm significantly depend on the temperature and moisture content (p < 0.05). The average of Dem and hm varied between 4.02 × 10–9 to 9.65 × 10–9 m2/s, and 2.38 × 10–7 to 6.33 × 10–7 m/s, respectively. Activation energy showed a significant dependence on the moisture content and estimated as 16.84 kJ/mol for diffusion model and 28.70 kJ/mol for mass transfer model. Out of the six models considered, the logarithmic model showed the best fit to drying behavior of the dill leaves.

Nomenclature

A

sample surface area (m2)

A0, A1, A2, A3

constants of eq. (21)

a, a0, b, n

constants of models

B0, B1, B2, B3

constants of eq. (22)

D0

pre-exponential factor of the Arrhenius equation (m2/s)

Dem

moisture diffusivity (m2/s)

Dr

drying rate (kg water/kg dry matter.min)

Ead

activation energy for diffusion model (kJ/mol)

Eam

activation energy for mass transfer model (kJ/mol)

F0

Fourier number (dimensionless)

h0

pre-exponential factor of the Arrhenius equation (m/s)

hm

mass transfer coefficient (m/s)

k

drying rate constant (1/s)

k

drying rate constant (1/s)

L

thickness of the layer (m)

M0

initial moisture content (kg water/kg dry matter)

Mc

critical moisture content (kg water/kg dry matter)

Me

equilibrium moisture content (kg water/kg dry matter)

Mt

moisture content at any time (kg water/kg dry matter)

Mt+dt

moisture content at t+dt (kg water/kg dry matter)

MR

moisture ratio (dimensionless)

MRexp,iith

experimental moisture ratio

MRpre,iith

predicted moisture ratio

N

number of observations

R

universal gas constant (8.314 J/mol K)

R2

coefficient of determination

RMSE

root mean square error

T

temperature (°C)

t

time (s)

V

sample volume (m3)

W

total uncertainty in the measurement

x1, .. xn

uncertainties in the independent variables

z

number of constants in the drying model

χ2

Reduced chi-square

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Received: 2016-1-16
Revised: 2016-6-18
Accepted: 2016-7-11
Published Online: 2016-11-11

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Heruntergeladen am 30.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cppm-2015-0079/pdf?lang=de
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