ISSN 1008-5548

CN 37-1316/TU

Journal Online  2018 Vol.24
<Go BackNo.5

Statistics of particle velocity distribution function in gas-solid flow

WANG Jing1, 2 , WANG Junwu1

(1. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Science, Beijing 100190, China; 2. University of Chinese Academy of Science, Chemical Engineering Faculty, Beijing 100049, China)

Abstract:The computational fluid dynamics method (CFD) based on continuum model and the discrete element method (DEM) were coupled together to establish a CFD-DEM method which was used to simulate the coarse particle fluidization process in this study. The method of statistical analysis was applied to study the particle velocity distribution function, and the Maxwellian distribution, exponential distribution, bimodal distribution and t-distribution were used to regress the simulated data to explore the reasonable velocity distribution characteristics in the non-uniform gas-solid two-phase flow. It is shown that Maxwell distribution cannot be used to describe the particle velocity distribution in the non-equilibrium gas-solid flow; t distribution or exponential distribution can fit the velocity distribution in the non-gravitational direction well; while bimodal distribution offers a best fitting with the simulation data in the gravitational direction.

Keywords:gas-solid flow; particle velocity distribution; kinetic theory; fluidization

中图分类号:TD9            文献标志码:A

文章编号:1008-5548(2018)05-0001-05

DOI:10.13732/j.issn.1008-5548.2018.05.001

收稿日期:2018-04-09, 修回日期:2018-05-26,在线出版时间:2018-10-16。

基金项目:国家自然科学基金项目,编号:21422608。

第一作者简介:王婧(1993—),女,硕士研究生,研究方向为气固两相流中非平衡特性分析。E-mail: wangjing16@ipe.ac.cn。

通信作者简介:王军武(1978—),男,博士,研究员,博士生导师,研究方向为颗粒流体两相流的多尺度模拟。E-mail: jwwang@ipe.ac.cn。