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DEVELOPMENT OF A MULTI-SCALE MODEL FOR DEEP-BED DRYING OF RICE.

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Title: DEVELOPMENT OF A MULTI-SCALE MODEL FOR DEEP-BED DRYING OF RICE.
Authors: ElGamal, R.1, Ronsse, F.2, ElMasry, G.3, Pieters, J. G.4 Jan.Pieters@UGent.be
Source: Transactions of the ASABE. 2015, Vol. 58 Issue 3, p849-859. 11p.
Abstract: The drying behavior of rough rice in a deep bed was analyzed numerically by solving the heat and moisture transfer equations using a novel deep-bed model. The model consisted of two scales. A computational fluid dynamics (CFD) model was used first to predict the convective coefficients of heat and mass transfer between an individual rough rice kernel and air in the rough rice bed. The predicted heat and mass transfer coefficients were then used for coupling the moisture and heat fluxes inside the rough rice kernel with the external convective heat and mass transfers at the kernels' surfaces in a complete rough rice bed model using the Comsol Multiphysics simulation environment. The developed model was used to predict the grain moisture contents and temperatures at different heights in the bed during drying. The theoretical predictions of moisture profiles inside a deep bed of rough rice were validated against experimental data from literature. The results revealed that the mean relative deviation between predicted and experimental values varied between 3.1% and 6.8%. Most importantly, the novel approach used in this study allowed the deep-bed model to predict the moisture and temperature distributions inside the individual rough rice kernels at different heights in the rough rice bed. [ABSTRACT FROM AUTHOR]
Copyright of Transactions of the ASABE is the property of American Society of Agricultural & Biological Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 161267751
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: DEVELOPMENT OF A MULTI-SCALE MODEL FOR DEEP-BED DRYING OF RICE.
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  Data: <searchLink fieldCode="AR" term="%22ElGamal%2C+R%2E%22">ElGamal, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ronsse%2C+F%2E%22">Ronsse, F.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22ElMasry%2C+G%2E%22">ElMasry, G.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Pieters%2C+J%2E+G%2E%22">Pieters, J. G.</searchLink><relatesTo>4</relatesTo><i> Jan.Pieters@UGent.be</i>
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  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+ASABE%22">Transactions of the ASABE</searchLink>. 2015, Vol. 58 Issue 3, p849-859. 11p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The drying behavior of rough rice in a deep bed was analyzed numerically by solving the heat and moisture transfer equations using a novel deep-bed model. The model consisted of two scales. A computational fluid dynamics (CFD) model was used first to predict the convective coefficients of heat and mass transfer between an individual rough rice kernel and air in the rough rice bed. The predicted heat and mass transfer coefficients were then used for coupling the moisture and heat fluxes inside the rough rice kernel with the external convective heat and mass transfers at the kernels' surfaces in a complete rough rice bed model using the Comsol Multiphysics simulation environment. The developed model was used to predict the grain moisture contents and temperatures at different heights in the bed during drying. The theoretical predictions of moisture profiles inside a deep bed of rough rice were validated against experimental data from literature. The results revealed that the mean relative deviation between predicted and experimental values varied between 3.1% and 6.8%. Most importantly, the novel approach used in this study allowed the deep-bed model to predict the moisture and temperature distributions inside the individual rough rice kernels at different heights in the rough rice bed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Transactions of the ASABE is the property of American Society of Agricultural & Biological Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.13031/trans.58.10904
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      – Code: eng
        Text: English
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        PageCount: 11
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    Titles:
      – TitleFull: DEVELOPMENT OF A MULTI-SCALE MODEL FOR DEEP-BED DRYING OF RICE.
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      – PersonEntity:
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            NameFull: ElGamal, R.
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            NameFull: Ronsse, F.
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            NameFull: ElMasry, G.
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            NameFull: Pieters, J. G.
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            – D: 01
              M: 05
              Text: 2015
              Type: published
              Y: 2015
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              Value: 58
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              Value: 3
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            – TitleFull: Transactions of the ASABE
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