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Abstract
Grain drying is a simultaneous heat and moisture transfer problem. The modeling of such a problem is of significance in understanding and controlling the drying process. The main goal of this study was to predict the heat and mass transfer processes during deep-bed rice drying. To achieve this, first, CFD simulations were carried out to analyze the external flow and temperature fields at steady-state for a control volume of a stationary rice bed. The model was used to predict the convective heat and mass transfer coefficients in the rice bed, and correlations were developed for the convective heat and mass transfer coefficients as a function of drying air flow rate. Then, the coupled CFD and diffusion model developed by ElGamal, Ronsse, Radwan & Pieters (2013) to investigate the heat and mass transfer for thin-layer drying of rice was extended to volumetric heat and mass transfer in a deep-bed of rice using the predicted heat and mass transfer coefficients. All models were solved numerically using the finite element method. The model was used to predict the air temperature, as well as the grain moisture content and temperature at different locations of the dryer during the drying process. The theoretical predictions of moisture and temperature profiles inside a deep-bed of rice were verified by experimental data from literature. The average mean relative deviation values for the prediction of grain moisture content varied between 1.00 to 3.13%.
Keywords
Grain drying, Mathematical modeling, Deep-bed, Thin-layer, CFD, Heat and mass transfer

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Please use this url to cite or link to this publication:

Chicago
ElGamal, Ramadan, Frederik Ronsse, and Jan Pieters. 2013. “Multi-scale Model for Heat and Mass Transfer During Rice Drying.” In Advanced Food Processing and Quality Management : Proceedings of the 8th CIGR Section VI International Technical Symposium.
APA
ElGamal, R., Ronsse, F., & Pieters, J. (2013). Multi-scale model for heat and mass transfer during rice drying. Advanced food processing and quality management : proceedings of the 8th CIGR Section VI international technical symposium. Presented at the 8th CIGR Section VI international technical symposium on Advanced Food Processing and Quality Management.
Vancouver
1.
ElGamal R, Ronsse F, Pieters J. Multi-scale model for heat and mass transfer during rice drying. Advanced food processing and quality management : proceedings of the 8th CIGR Section VI international technical symposium. 2013.
MLA
ElGamal, Ramadan, Frederik Ronsse, and Jan Pieters. “Multi-scale Model for Heat and Mass Transfer During Rice Drying.” Advanced Food Processing and Quality Management : Proceedings of the 8th CIGR Section VI International Technical Symposium. 2013. Print.
@inproceedings{4183705,
  abstract     = {Grain drying is a simultaneous heat and moisture transfer problem. The modeling of such a problem is of significance in understanding and controlling the drying process. The main goal of this study was to predict the heat and mass transfer processes during deep-bed rice drying. To achieve this, first, CFD simulations were carried out to analyze the external flow and temperature fields at steady-state for a control volume of a stationary rice bed. The model was used to predict the convective heat and mass transfer coefficients in the rice bed, and correlations were developed for the convective heat and mass transfer coefficients as a function of drying air flow rate.
Then, the coupled CFD and diffusion model developed by ElGamal, Ronsse, Radwan \& Pieters (2013) to investigate the heat and mass transfer for thin-layer drying of rice was extended to volumetric heat and mass transfer in a deep-bed of rice using the predicted heat and mass transfer coefficients. All models were solved numerically using the finite element method. The model was used to predict the air temperature, as well as the grain moisture content and temperature at different locations of the dryer during the drying process. The theoretical predictions of moisture and temperature profiles inside a deep-bed of rice were verified by experimental data from literature. The average mean relative deviation values for the prediction of grain moisture content varied between 1.00 to 3.13\%.},
  author       = {ElGamal, Ramadan and Ronsse, Frederik and Pieters, Jan},
  booktitle    = {Advanced food processing and quality management : proceedings of the 8th CIGR Section VI international technical symposium},
  keyword      = {Grain drying,Mathematical modeling,Deep-bed,Thin-layer,CFD,Heat and mass transfer},
  language     = {eng},
  location     = {Guangzhou, PR China},
  pages        = {6},
  title        = {Multi-scale model for heat and mass transfer during rice drying},
  year         = {2013},
}