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A pore-scale model for predicting resistance of airflowthrough grain bulks

机译:一种预测空气推杆抗性抗性的孔径模型

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A pore-scale network model is developed to model airflow through grain bulks. Grain kernels are modeled as spherical particles using the discrete element method (DEM). Based on the positions and diameters of grain kernels in the grain bulk, Delaunay tessellation is used to discretize the pore space into distinct tetrahedron elements representing individual pores. The overall pressure drop through the grain bed is obtained by solving a fundamental fluid mechanics equation for each tetrahedron unit atthe pore level. The resistance to flow along a flow path is predicted as the total pressure drop of all tetrahedron units along this path. The pressure drop of airflow through the grain bed predicted by the pore-scale network model is 1.32 Pa, which is greater than the pressure drop calculated by Ergun's equation (0.33 Pa), lower than the pressure drop recommended in the ASABE Standards (2 Pa) and the experimental results (2.24Pa).
机译:开发孔隙级网络模型以通过谷物块模拟气流。 谷物内核使用离散元素法(DEM)为球形颗粒进行建模。 基于谷物块中谷物粒的位置和直径,Delaunay TESSELLATION用于将孔隙空间离散到代表个体孔的不同四面体元件中。 通过求解孔隙水平的每个四面体单元的基本流体力学方程来获得通过纹理床的整体压降。 沿着流动路径的流动的电阻预测为沿着该路径的所有四面体单元的总压降。 通过孔隙级网络模型预测的晶粒的气流压降为1.32Pa,大于ergun等式(0.33 pa)计算的压降,低于asabe标准推荐的压力下降(2 pa )和实验结果(2.24Pa)。

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