Investigation on rough rice drying kinetics at various thin layers of a deep bed

被引:1
作者
Mehdi Torki-Harchegani
Morteza Sadeghi
Ahmad Moheb
Zahra Naghavi
机构
[1] Shahrekord University,Department of Mechanical Engineering of Biosystems
[2] Isfahan University of Technology,Department of Agricultural Machinery Engineering, College of Agriculture
[3] Isfahan University of Technology,Department of Chemical Engineering
来源
Heat and Mass Transfer | 2014年 / 50卷
关键词
Control Volume; Maximum Relative Error; Mean Relative Error; Rough Rice; Enthalpy Balance;
D O I
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中图分类号
学科分类号
摘要
Moisture content gradients along the bed column are commonly neglected during simulation of deep-bed grain drying. In this study, rough rice drying kinetics at various thin layers of a deep bed was investigated. The experiments were conducted under different drying conditions and the data were compared with the values predicted by a previously developed non-equilibrium model for numerical simulation of grain drying. The moisture content gradients related to the rough rice column indicated that the higher the drying layer, the more was the moisture content at each drying time. The constant drying rate period was observed neither for any thin layers nor for the entire drying column. The drying rate of the lower layers continuously decreased with drying time, whereas that of the upper layers firstly increased and then decreased. The implemented model predicted drying process with a high accuracy at various layers. However, the values of maximum relative error (REmax) and mean relative error (MRE) increased as the air temperature increased, and reversely decreased with the air velocity. The higher values of MRE and REmax were related to the layer 1 (0–5 cm bed height) at temperature of 60 °C and air velocity of 0.4 m s−1, and the lower values belonged to the layer 4 (15–20 cm bed height) at temperature of 40 °C and air velocity of 0.9 m s−1.
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页码:1717 / 1725
页数:8
相关论文
共 68 条
[1]  
Zare D(2009)Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying Comput Electron Agr 68 78-87
[2]  
Chen G(2010)Effect of temperature on structural properties of Aloea vera (Aloe barbadensis Miller) gel and Weibull distribution for modelling drying process Food Bioprod Process 88 138-144
[3]  
Miranda M(2012)Convective air drying characteristics of sweet potato cube ( Food Bioprod Process 90 317-322
[4]  
Vega-Gálvez A(1993) L.) Dry Technol 11 1553-1581
[5]  
García P(1971)Deep-bed grain drying. A review of particular theories Trans ASABE 14 1061-1064
[6]  
Scala KD(1967)Application of the logarithmic model to cross-flow deep-bed grain drying J Agr Eng Res 12 297-307
[7]  
Shi J(1969)Simultaneous heat and mass transfer during cooling of a deep bed of biological products under varying inlet air conditions J Agr Eng Res 14 226-235
[8]  
Xue S(1985)A mathematical simulation of grain drying Comput Chem Eng 9 567-581
[9]  
Uribe E(2001)Modelling and simulation of heat and mass transfer in a packed bed of solid particles having high diffusion resistance Chem Eng Process 40 355-362
[10]  
Singh NJ(2003)Two-dimensional simulation model for dynamic cross-flow rice drying J Food Eng 58 325-329