Paper · 2012 · 2012 Dallas, Texas, July 29 - August 1, 2012

Finite Element Modeling of Green Fig Drying

Dariush Zare; Aso Fathi; Mohsen Ranjbaran

2
claims
4
verbatim quotes
0
citations
2
research areas
—
Not open access

Abstract

To simulate the drying process of green fig during hot air drying, the finite element method was applied. The governing equation of the moisture transfer was discrete to a system of first order differential equations for all nodes which was solved by finite difference method. For the purpose of grid study, three different grid resolutions were used. The predicted values of fig moisture content during drying process were compared against experimental data at the same drying conditions including air temperature levels of 45, 55 and 65 C. The values of the Root Mean Square Error were 0.94, 4.96 and 5.73 for the mentioned drying conditions, respectively. The results showed that the finite element modeling can be applied as a suitable and precise method for the prediction of fruit drying process.

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Claims 2

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The finite element model predicted green fig moisture content with RMSE of 0.94, 4.96 and 5.73 against experimental data at 45, 55 and 65 C.

Taxon
fige1
Treatment
air temperature levels of 45, 55 and 65 Ce1
Outcome
Root Mean Square Errore2
Value
0.94, 4.96 and 5.73e2
Comparator
experimental datae1

Verbatim

e1

“The predicted values of fig moisture content during drying process were compared against experimental data at the same drying conditions including air temperature levels of 45, 55 and 65 C”

✓ located verbatim in the source · abstract, characters 352–540 · show in text ↑
e2

“The values of the Root Mean Square Error were 0.94, 4.96 and 5.73 for the mentioned drying conditions, respectively”

✓ located verbatim in the source · abstract, characters 542–657 · show in text ↑
Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Finite element modeling is a suitable and precise method for predicting fruit drying process.

Taxon
fige1
Outcome
prediction of fruit drying processe3
Comparator
experimental datae1

Verbatim

e1

“The predicted values of fig moisture content during drying process were compared against experimental data at the same drying conditions including air temperature levels of 45, 55 and 65 C”

✓ located verbatim in the source · abstract, characters 352–540 · show in text ↑
e3

“The results showed that the finite element modeling can be applied as a suitable and precise method for the prediction of fruit drying process”

✓ located verbatim in the source · abstract, characters 659–801 · show in text ↑