摘要
随着计算机硬件的发展 ,基于颗粒尺度模拟稠密气固两相流的颗粒轨道模型发展很快 .本文回顾了目前流化床模拟中确定性颗粒轨道模型的研究状况 ,概述了处理颗粒碰撞的硬球模型、软球模型以及DSMC方法在国内外流化床模拟中的研究成果 ,评述了颗粒间相互作用处理方法的优缺点以及适用的系统等 ,指出了确定性颗粒轨道模型发展亟待解决的问题 ,展望了确定性颗粒轨道模型未来的发展趋势 .
From a macroscopic viewpoint, the solid phase in a gas-solid fluidization system behaves like some kind of fluid, thus, most numerical simulations of fluidized beds are based on the two-fluid model.This kind of model is based on the assumption that solid phase is a continuum so that it cannot be used to identify the discrete characteristics of solid phase comprehensively. With continuously increasing computer power, the determinate particle-trajectory model (DPTM) is progressing very quickly in the multiscale simulation of gas-solid two-phase flow.The DPTM treats fluid-phase as a continuum and solid phase as discrete particles so it has been used to explore the discrete characteristics of particles. Several techniques related to the application of DPTM include the model of particles motion,calculation of drag force for particles group,coupling relation between gas and solid,determination of collision between particles, and so on. In this paper, the research for particles motion, fluid motion and coupling relation between two-phase in the DPTM is outlined. For the handling of colliding particles, the hard-sphere model, soft-sphere model and direct simulation Monte Carlo method are reviewed.Moreover, the achievements in application, advantages and disadvantages, as well as the applicable system of above-mentioned models are also summarized. As a conclusion,the DPTM has been proven to be successful and is promising in the simulation of the gas-solid system. The developing direction of the DPTM is presented as a guide for further research on the gas-solid two-phase flow.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2004年第10期1581-1592,共12页
CIESC Journal
基金
国家重点基础研究发展规划项目 (No G19990 2 2 1)
中国科学院多相反应开放实验室资助项目 .~~
关键词
两相流
模拟
流化床
多尺度
颗粒轨道模型
硬球模型
软球模型
DSMC
方法
two-phase flow, simulation, fluidized beds, multiscale, particle-trajectory model, hard-sphere model, soft-sphere model, direct simulation Monte Carlo
