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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

Corresponding Author:wanghaifeng14@mails.ucas.ac.cn

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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.
19 May 2021Submitted to AIChE Journal
19 May 2021Submission Checks Completed
19 May 2021Assigned to Editor
26 May 2021Reviewer(s) Assigned
03 Aug 2021Editorial Decision: Revise Major
14 Sep 20211st Revision Received
14 Sep 2021Submission Checks Completed
14 Sep 2021Assigned to Editor
24 Sep 2021Reviewer(s) Assigned
06 Nov 2021Editorial Decision: Accept
Mar 2022Published in AIChE Journal volume 68 issue 3. 10.1002/aic.17525