Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211, USA.
Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran.
Phys Rev E. 2017 May;95(5-1):052902. doi: 10.1103/PhysRevE.95.052902. Epub 2017 May 22.
Polydisperse packings of cubic particles arise in several important problems. Examples include zeolite microcubes that represent catalytic materials, fluidization of such microcubes in catalytic reactors, fabrication of new classes of porous materials with precise control of their morphology, and several others. We present the results of detailed and extensive simulation and microstructural characterization of packings of nonoverlapping polydisperse cubic particles. The packings are generated via a modified random sequential-addition algorithm. Two probability density functions (PDFs) for the particle-size distribution, the Schulz and log-normal PDFs, are used. The packings are analyzed, and their random close-packing density is computed as a function of the parameters of the two PDFs. The maximum packing fraction for the highest degree of polydispersivity is estimated to be about 0.81, much higher than 0.57 for the monodisperse packings. In addition, a variety of microstructural descriptors have been calculated and analyzed. In particular, we show that (i) an approximate analytical expression for the structure factor of Percus-Yevick fluids of polydisperse hard spheres with the Schulz PDF also predicts all the qualitative features of the structure factor of the packings that we study; (ii) as the packings become more polydisperse, their behavior resembles increasingly that of an ideal system-"ideal gas"-with little or no correlations; and (iii) the mean survival time and mean relaxation time of a diffusing species in the packings increase with increasing degrees of polydispersivity.
多分散立方颗粒的堆积体在几个重要问题中都会出现。例如,沸石微立方体代表了催化材料,在催化反应器中流化这样的微立方体,制造具有精确控制其形态的新一类多孔材料,以及其他几个。我们提出了详细和广泛的模拟和多分散非重叠立方颗粒堆积体的微观结构特征的结果。堆积体是通过修改后的随机顺序添加算法生成的。使用了两种粒径分布的概率密度函数(PDF),Schulz 和对数正态 PDF。分析了堆积体,并计算了它们随机紧密堆积密度作为两个 PDF 参数的函数。最高分散度的最大堆积分数估计约为 0.81,远高于单分散堆积体的 0.57。此外,还计算和分析了各种微观结构描述符。特别是,我们表明 (i) 具有 Schulz PDF 的多分散硬球的 Percus-Yevick 流体的近似解析结构因子表达式也预测了我们研究的堆积体的结构因子的所有定性特征;(ii) 随着堆积体变得更加多分散,它们的行为越来越类似于理想系统-"理想气体",几乎没有或没有相关性;以及 (iii) 在堆积体中扩散物种的平均存活时间和平均弛豫时间随分散度的增加而增加。