当前位置: X-MOL 学术Powder Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A new index to characterize the segregation of binary mixture
Powder Technology ( IF 4.5 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.powtec.2020.01.005
Bei-Bing Dai , Jun Yang , Feng-Tao Liu , Xiao-Qiang Gu , Kai-Rong Lin

Abstract In present study, we develop a new segregation index having both geometrical and physical significances, on the basis of segregation profile of granular bed. We carry out a DEM simulation to validate this index and analyze the segregation of binary mixture. The DEM analysis reveals that the segregation profile of granular bed subjected to vibration is in general in a reverse “N” mode, which tends to narrow and weaken as vibration continues. At a proper vibration amplitude, the reverse “N” pattern diminishes progressively and the overall segregation profile evolves into a three-line-segment pattern which stands for the ideal state of full segregation. A comparison analysis indicates that the new index proposed in this study is able to give a more proper estimation of segregation phenomenon for binary mixtures, as compared with other indices from the literature.

中文翻译:

表征二元混合物离析的新指标

摘要 在目前的研究中,我们在颗粒层离析剖面的基础上,开发了一种具有几何意义和物理意义的新的离析指数。我们进行了 DEM 模拟以验证该指标并分析二元混合物的分离。DEM 分析表明,受到振动的颗粒床的偏析剖面通常处于倒“N”模式,随着振动的继续,它趋于变窄和减弱。在适当的振动幅度下,反向“N”型逐渐减小,整体偏析轮廓演变为三线段模式,代表完全偏析的理想状态。比较分析表明,本研究提出的新指标能够更准确地估计二元混合物的离析现象,
更新日期:2020-03-01
down
wechat
bug