Digital simulation of agricultural drier performance

O’Callaghan, J.R.; Menzies, Don; Bailey, P. H.

doi:10.1016/s0021-8634(71)80016-1

Cited by 233 publications

(43 citation statements)

References 8 publications

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“…The predicted data mainly banded around the straight line which showed the suitability of the model in describing single layer drying behaviour. Furthermore, the predictions are within the acceptable limit (1.70%) (O'Callaghan et al, 1971). …”

Section: Thin Layer Drying Equationssupporting

confidence: 53%

Drying Kinetics Of Ginger Rhizome (Zingiber officinale)

Hoque

Bala

Hossain

et al. 2013

Bangladesh J. Agric. Res

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This paper presents the drying kinetics of ginger rhizome under blanched and nonblanched conditions using hybrid solar dryer and mechanical tray dryer at three temperature levels. The drying rate increases with the increase in drying air temperature and blanching also increases the drying rate. The drying rate depends on shape and size of the ginger rhizomes. The highest drying rate was found for sliced samples of ginger rhizome followed by splitted and whole root samples. Five thin layer drying models were fitted to the experimental data of blanched and sliced ginger rhizomes. The Page equation was found to be the best to predict the moisture content of sliced ginger rhizome in thin layer. The agreement between the predicted and experimental results was excellent. Colour of ginger rhizomes was slightly changed after drying. Lightness of ginger rhizomes decreased with an increase in drying temperature for all samples except sliced and blanched samples. For drying of ginger rhizome, it should be sliced and blanched and dried below 70 0 C for better quality dried products.

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Section: Thin Layer Drying Equationssupporting

confidence: 53%

Drying Kinetics Of Ginger Rhizome (Zingiber officinale)

Hoque

Bala

Hossain

et al. 2013

Bangladesh J. Agric. Res

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“…As the coupling effect was not taken into account in the drying model used in this work, the exclusion of this effect potentially contributed in a large part of the error of the results. Although, the error is within acceptable limit (O'Callaghan et al, 1971;Chen and Putranto, 2013), the drying model in which the coupling effect is included, is recommended to carry out in a future work. The different components of the macadamia nut have different initial moisture contents and diffusivities.…”

Section: Finite Element Simulated Dryingmentioning

confidence: 99%

Moisture desorption isotherm, diffusivity and finite element simulation of drying of macadamia nut ( Macadamia integrifolia )

Pankaew

Janjai

Nilnont

et al. 2016

Food and Bioproducts Processing

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“…Eight thin layer drying models -Newton [29], Page [30], Modified Page [31], Henderson and Pabis [32], Logarithmic [33], Two Term [34], Midilli et al [24], Wang and Singh [35] -were applied to the drying curves. The regression analyses were done for these thin layer drying models by relating the drying time (t) and dimensionless moisture ratio (MR=M/Mo) for 90, 180, 360, 600 and 800 W. The names, equations and references of the mathematical models applied to the drying curves of mulberry are given in Table 1.…”

Section: Drying Curves and Mathematical Modelingmentioning

confidence: 99%

Microwave drying and moisture diffusivity of white mulberry: experimental and mathematical modeling

Evin

2011

J Mech Sci Technol

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The literature surveyed revealed that drying kinetics of white mulberry under microwave treatment has not been investigated. In present study, both experimental study and mathematical modeling on microwave drying of white mulberry was performed. The microwave drying process which reduced the moisture content of mulberry from 3.76 to 0.25 (g water/g dry matter) was carried out at 90, 180, 360, 600, and 800 W in a modified microwave drying set-up. The effects of microwave drying technique on the moisture ratio and drying rate of white mulberry were investigated experimentally. Both the effects of microwave power level (under the range of 90-800W) and initial sample weight (50-150g) were studied. No constant rate period was observed. Mathematical modeling of thin layer drying kinetics of white mulberry under microwave treatment was also investigated by fitting the experimental drying data to eight thin layer drying models. Among the models proposed, Midilli et al. model precisely represented the microwave drying behavior of white mulberry with the coefficient of determination higher than 0.999 and mean square of deviation (χ 2 ) and root mean square error (RMSE) lower than 1.1x10 -4 and 8.9x10 -3 , respectively for all the microwave drying conditions studied. The effective moisture diffusivity (D eff ) of white mulberry varied from 0.45 x10 -8 to 3.25x10 -8 m 2 s -1 . Both the drying constant (k) and D eff increased with the increase of microwave power level.

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Digital simulation of agricultural drier performance

Cited by 233 publications

References 8 publications

Drying Kinetics Of Ginger Rhizome (Zingiber officinale)

Drying Kinetics Of Ginger Rhizome (Zingiber officinale)

Moisture desorption isotherm, diffusivity and finite element simulation of drying of macadamia nut ( Macadamia integrifolia )

Microwave drying and moisture diffusivity of white mulberry: experimental and mathematical modeling

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