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Particle-level dynamics of clusters: Experiments in a gas-fluidized bed
  • Haifeng Wang,
  • Yanpei Chen,
  • Wei Wang
Haifeng Wang
Institute of Process Engineering Chinese Academy of Sciences
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Yanpei Chen
Institute of Process Engineering Chinese Academy of Sciences
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Wei Wang
Institute of Process Engineering Chinese Academy of Sciences
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Abstract

The clustering is critical to understanding the multiscale behavior of fluidization. However, its time-resolved evolution on the particle level is seldom touched. Here, we explore both the time-averaged and time-resolved dynamics of clusters in a quasi-2D fluidized bed. Particle tracking velocimetry is adopted and then clusters are identified by using the Voronoi analysis. The time-averaged results show that the cluster hydrodynamic parameters depend highly on the cluster size and the distance from the wall. The number distribution of the cluster size follows a power law (~nc-2.2)) of the percolation theory except for large clusters (nc>100). The time-resolved analysis shows that the cluster coalescence can be simplified as a collision between two inelastic clusters, during which the net external force is roughly zero, and a snowplow model is proposed to predict its energy loss, ΔE ~ t3/2. The cluster rupture is suggested to be caused by increasing torque.

Peer review status:UNDER REVIEW

19 May 2021Submitted to AIChE Journal
19 May 2021Assigned to Editor
19 May 2021Submission Checks Completed
26 May 2021Reviewer(s) Assigned