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Close packing density of polydisperse hard spheres
Robert S Farr1, Robert D Groot
1Unilever R and D, Olivier van Noortlaan 120, Vlaardingen AT3133, The Netherlands. robert.farr@unilever.com
This study introduces a new theory for predicting random close packing density in granular materials with varying sphere sizes. The model accurately reflects simulations, offering a well-defined volume fraction for diverse particle distributions.
Area of Science:
- Physics
- Materials Science
- Chemical Engineering
Background:
- The random close packed state is crucial for modeling granular materials, but real materials have polydisperse particle sizes.
- Existing models often assume monodisperse spheres, limiting their applicability to real-world scenarios.
Purpose of the Study:
- To develop a simple yet accurate approximation for the random close packing density of hard spheres with any size distribution.
- To validate the proposed theory through extensive simulations.
Main Methods:
- Mapping a three-dimensional sphere packing problem onto a one-dimensional equivalent.
- Performing extensive simulations of elastic sphere mixtures with hydrodynamic friction.
Main Results:
- The developed theory accurately predicts random close packing density for bidisperse, tridisperse, and log-normal distributions.
- Simulations confirmed a weak dependence on fluid viscosity and particle size, which can be eliminated by specific mass-size relations.
- The theory correctly reproduces known limits for large size ratios.
Conclusions:
- The proposed theory provides a robust method for determining the random close packing density of polydisperse hard spheres.
- This work offers a more realistic approach to modeling granular materials in physics and engineering applications.
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