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首页> 外文期刊>Journal of food engineering >Comparison of two non-equilibrium models for static grain deep-bed drying by numerical simulations
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Comparison of two non-equilibrium models for static grain deep-bed drying by numerical simulations

机译:静态晶粒深床干燥的两种非平衡模型的数值模拟比较

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Non-equilibrium models of the grain stationary deep-bed drying are derived from the theoretical analysis of the physics of the drying process and consist of a set of four nonlinear partial differential equations describing, respectively, the moisture balance, air energy balance, grain energy balance and thin-layer drying rate. In these models, many authors simplify the physical description by neglecting the accumulation terms from the energy and moisture balance equations without a relevant justification. This simplification may reduce the complexity and computational time but depending of drying conditions can also reduce models' accuracy. Accurate modelling of the drying process is a determining factor both for designing the drier, and for optimising its operation. In this paper, we use two non-equilibrium models to design two grain deep-bed drying computer codes. In the first, model 1, derived by Bakker-Arkema et al. [Bakker-Arkema, F. W., Bickert, W. G., & Patterson, R. J. (1967). Simultaneous heat and mass transfer during the cooling of a deep-bed of biological products under varying inlet air conditions. Journal of Agricultural Engineering Research, 12, 297-307] and also presented by Brooker et al. [Brooker, D. B., Bakker-Arkema, F. W., & Hall, C. W. (1974). Drying cereal grains. Westport, CT: AVI], the accumulation terms are kept, in the second, model 2, as assumed by these authors, these terms are neglected. Both models are discretized by second order semi-implicit schemes. We use these codes to simulate wheat static bed drying and we compare their predictions. We show that the transfer time, defined as the ratio of the bed height and the drying air velocity, and inlet air temperature and humidity are the main parameters which affect the behaviour of the deviation between the predictions of these models. We investigate the conditions allowing one to neglect the accumulation terms as in the model 1.
机译:谷物固定式深床干燥的非平衡模型是根据干燥过程的物理原理进行分析得出的,它由一组四个非线性偏微分方程组成,分别描述了水分平衡,空气能量平衡,谷物能量平衡和薄层干燥速率。在这些模型中,许多作者在没有相关理由的情况下,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。这种简化可以减少复杂性和计算时间,但是取决于干燥条件也可以降低模型的准确性。干燥过程的准确建模是设计干燥机和优化干燥机的决定因素。在本文中,我们使用两个非平衡模型来设计两个谷物深床干燥计算机代码。首先,模型1由Bakker-Arkema等人推导。 [Bakker-Arkema,F。W.,Bickert,W。G.和Patterson,R。J.(1967)。在变化的进气条件下,在深层生物产品冷却过程中同时进行传热和传质。农业工程研究学报,12,297-307],也由Brooker等人发表。 [布鲁克,D。B.,巴克-阿科玛,F。W.和霍尔,C。W.(1974)。干燥谷物。如作者所假设的那样,在第二个模型2中保留了累积项,这些项被忽略了。两种模型均通过二阶半隐式方案离散化。我们使用这些代码来模拟小麦静态床干燥,并比较它们的预测。我们表明,传输时间(定义为床高与干燥空气速度之比以及进气温度和湿度)是影响这些模型的预测之间偏差行为的主要参数。我们研究了允许人们忽略模型1中的累积项的条件。

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