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Numerical simulation of rough rice drying in a deep-bed dryer using non-equilibrium model

机译:基于非平衡模型的深床干燥机中粗米干燥的数值模拟

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In this study, a non-equilibrium model of the grain fixed deep-bed drying for rough rice has been presented. The model was developed by using mass and energy balance inside a control volume of the bed and a proper rate equation for the thin-layer drying. The control volume was composed of two ther-modynamical systems: intergranular air and grains. In most of the models reported in the literature, authors simplified the physical description by neglecting the accumulation terms from the energy and moisture balance equations without a relevant justification. Accurate modeling of the drying process is an important factor from design point of view as well as optimizing the operation. In the proposed model, in this work the accumulation terms were kept in both energy and mass balance equations. The set of coupled partial differential equations derived from the model was solved simultaneously by using the backward implicit method. Based on the discrete set of equation, a computer program was developed and implemented in MATLAB environment to simulate the grain drying process. The technique was capable to predict correctly the temperature of the air and grains, the air humidity and moisture content of the grains at different locations of the dryer at any time. The results of simulation were also compared with the experimental data. The results clearly show that the proposed method can predict the characteristics of the deep-bed dryer with a very good degree of accuracy.
机译:在这项研究中,提出了一种用于糙米的谷物固定深床干燥的非平衡模型。通过在床的控制体积内使用质量和能量平衡以及薄层干燥的适当速率方程式开发了该模型。控制体积由两个热力学系统组成:晶间空气和颗粒。在文献报道的大多数模型中,作者通过忽略能量和水分平衡方程中的累积项来简化物理描述,而没有相关的理由。从设计的角度以及优化操作,干燥过程的准确建模是一个重要因素。在提出的模型中,在这项工作中,能量和质量平衡方程中都保留了累积项。使用反向隐式方法同时求解了从模型导出的耦合偏微分方程组。基于离散方程组,开发了计算机程序并在MATLAB环境中实现,以模拟谷物干燥过程。该技术能够随时正确地预测干燥机不同位置的空气和谷物的温度,空气湿度和谷物的水分含量。仿真结果也与实验数据进行了比较。结果清楚地表明,该方法可以很好地预测深床干燥机的特性。

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