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Clogging and jamming transitions in periodic obstacle arrays
H T Nguyen1,2, C Reichhardt1, C J Olson Reichhardt1
1Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Physical Review. E
|April 19, 2017
Summary
Clogging in particle flow is probabilistic, transitioning from flowing to jammed states. Higher particle density and more obstacles increase clogging probability, with specific flow angles enhancing susceptibility.
Area of Science:
- Physics
- Fluid Dynamics
- Materials Science
Background:
- Understanding particle flow and jamming is crucial in various scientific and engineering fields.
- Previous studies have explored clogging in granular materials, but the influence of bidisperse particle mixtures and periodic obstacle arrays requires further investigation.
Purpose of the Study:
- To numerically investigate the clogging transitions of bidisperse disks in a 2D periodic obstacle array.
- To analyze the factors influencing clogging probability and susceptibility, including particle packing, obstacle number, and driving angle.
- To explore the phenomenon of size-specific clogging transitions.
Main Methods:
- Numerical simulations were employed to model the flow of bidisperse disks.
- The study focused on transitions from homogeneous flowing states to heterogeneous, phase-separated jammed states.
- Analysis included varying particle packing, obstacle number, and driving angles relative to the obstacle array's symmetry.
Main Results:
- Clogging is identified as a probabilistic event, characterized by the formation of dense, connected disk clusters.
- Clogging probability increases with higher particle packing and a greater number of obstacles.
- Specific driving angles were found to exhibit higher clogging susceptibility, and size-specific clogging transitions were observed where one disk size jammed while the other flowed.
Conclusions:
- The study elucidates the probabilistic nature of clogging in bidisperse disk flows through obstacle arrays.
- Particle packing, obstacle density, and flow direction are key determinants of clogging behavior.
- The findings offer insights into controlling particle flow and preventing blockages in systems with complex geometries.
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