球体
硬球
原子堆积因子
球形填料
粒状材料
粒子(生态学)
统计物理学
分布(数学)
粘度
物理
体积分数
点(几何)
简单(哲学)
经典力学
概率密度函数
粒度分布
概率分布
颗粒密度
粒径
体积热力学
分数(化学)
机械
数学
点粒子
等球密排
质量分数
作者
Robert S. Farr,Robert D. Groot
摘要
The most efficient way to pack equally sized spheres isotropically in three dimensions is known as the random close packed state, which provides a starting point for many approximations in physics and engineering. However, the particle size distribution of a real granular material is never monodisperse. Here we present a simple but accurate approximation for the random close packing density of hard spheres of any size distribution based upon a mapping onto a one-dimensional problem. To test this theory we performed extensive simulations for mixtures of elastic spheres with hydrodynamic friction. The simulations show a general (but weak) dependence of the final (essentially hard sphere) packing density on fluid viscosity and on particle size but this can be eliminated by choosing a specific relation between mass and particle size, making the random close packed volume fraction well defined. Our theory agrees well with the simulations for bidisperse, tridisperse, and log-normal distributions and correctly reproduces the exact limits for large size ratios.
科研通智能强力驱动
Strongly Powered by AbleSci AI