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The influence of particle size distribution on parameters characterizing the spatial structure of porous beds

机译:粒径分布对表征多孔床空间结构参数的影响

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The article proposes functions linking the standard deviation of a particle distribution in a porous bed consisting of spherical particles with various parameters characterising the spatial structure of the bed. The porosity, the inner surface, the specific surface and the geometrical tortuosity were analysed. In the first stage, a set of virtual beds was created with the use of the Discrete Element Method. The Radius Expansion Method was applied to generate virtual beds with different standard deviations. 150 virtual beds were created (25 standard deviations, 3 repetitions with different settings of the random number generator, 2 values of the radius expansion factor). In the second stage, the spatial structure of all virtual beds was analysed. The geometrical tortuosity was calculated with the use of the so-called Path Tracking Method; other parameters were calculated with the use of analytical formulas. The impact of the standard deviation on the parameters characterising the spatial structure of the granular bed was described by approximation functions, which can be used in order to obtain these parameters based on the particle size distribution for others porous beds.
机译:该文章提出了将由球形颗粒组成的多孔床中的颗粒分布的标准偏差与表征床的空间结构的各种参数联系起来的功能。分析了孔隙率,内表面,比表面和几何曲折度。在第一阶段,使用离散元素方法创建了一组虚拟床。半径扩展方法用于生成具有不同标准偏差的虚拟床。创建了150个虚拟床(25个标准差,使用随机数生成器的不同设置进行3次重复,2个半径扩展因子值)。在第二阶段,分析了所有虚拟床的空间结构。几何曲折度是通过使用所谓的路径跟踪方法来计算的;使用分析公式计算其他参数。通过近似函数描述了标准偏差对表征颗粒床空间结构的参数的影响,该函数可用于基于其他多孔床的粒度分布来获得这些参数。

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