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Published on: December 4, 2017
Characterization of clusters in rapid granular flows.
R Brent Rice1, Christine M Hrenya
1Department of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80309, USA.
This study reveals new insights into granular flow clustering. Cluster prevalence decreases with higher particle concentrations, contrary to expectations, and is linked to particle interactions and system dissipation.
Area of Science:
- Physics
- Materials Science
- Fluid Dynamics
Background:
- Granular materials exhibit complex behaviors, including clustering, under shear flow.
- Understanding these phenomena is crucial for applications involving powders, grains, and other particulate matter.
Purpose of the Study:
- To investigate the clustering phenomenon in two-dimensional, rapid granular, simple shear flows.
- To develop and implement characterizations for monodisperse granular systems to gain physical insight.
Main Methods:
- Developed two characterizations for monodisperse granular systems.
- Identified a new feature in the radial distribution function for dissipative granular systems.
- Utilized a Gaussian filter based on center-to-center distance for concentration and temperature measurements.
Main Results:
- A novel long-scale minimum in the radial distribution function indicates average distances between cluster centers and dilute regions.
- Tighter cluster packing was observed at moderate particle concentrations and low restitution coefficients.
- Cluster prevalence unexpectedly decreased monotonically with increasing overall particle concentration, despite increased clustering at lower dissipation.
Conclusions:
- The study provides a new characterization of clustering in granular flows.
- Findings confirm that cluster prevalence increases with decreasing dissipation and clustered regions have lower temperatures.
- A surprising inverse relationship between cluster prevalence and overall particle concentration was discovered.
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