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- W4247368907 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 (~ n )) of the percolation theory except for large clusters ( n >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, Δ E ~ t . The cluster rupture is suggested to be caused by increasing torque." @default.
- W4247368907 created "2022-05-12" @default.
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- W4247368907 date "2021-05-26" @default.
- W4247368907 modified "2023-09-26" @default.
- W4247368907 title "Particle-level dynamics of clusters: Experiments in a gas-fluidized bed" @default.
- W4247368907 doi "https://doi.org/10.22541/au.162206659.93701850/v1" @default.
- W4247368907 hasPublicationYear "2021" @default.
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