4.7 Article

Binary-size granules segregation from core pattern to streak pattern in a rotating drum

期刊

POWDER TECHNOLOGY
卷 380, 期 -, 页码 518-525

出版社

ELSEVIER
DOI: 10.1016/j.powtec.2020.11.035

关键词

Granular segregation; Pattern configuration; Size segregation; Volume flow rate

资金

  1. National Natural Science Foundation of China [91634202, 11972212, 12072200, 12002213]
  2. Science and Technology Commission of Shanghai Municipality [19142201500]

向作者/读者索取更多资源

In binary-size granular segregation models, the relationship between control parameters and kinetic parameters was studied using machine vision and particle image velocimetry. It was found that the configuration of segregation pattern changes with control parameters, with the ratio of segregation effects to diffusion effects decreasing approximately linearly as the volume flow rate decreases. These experimental results help reveal the mechanism of segregation and provide reference data for improving theoretical models.
There is a paucity of studies on the relationship between the control parameters and kinetic parameters in binary-size granular segregation models. In this study, the machine vision method and particle image velocimetry (PIV) were used to measure the shape index of segregation pattern and streamwise velocity, respectively. Two scaled parameters, control parameters and kinetic parameters, were calculated based on the continuous flow model and segregation model. The control parameters include volume flow rate, and the kinetic parameters include the ratio of segregation effects to diffusion effects. By analyzing the relationship between the two parameters under the core and streak patterns, the configuration of segregation pattern at steady-state changes with the control parameters wherein the ratio of segregation effects to diffusion effects decreases approximately linearly as the volume flow rate decreases. These experimental results aid in revealing the mechanism of segregation and providing the reference data for improving the theoretical models. (C) 2020 Elsevier B.V. All rights reserved.

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