|
| Mesoscale LBM-DEM model for gas-solid two-phase flow |
| Received:August 15, 2014 Revised:May 19, 2015 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201505018 |
| KeyWord:mesoscale discrete particle model lattice Boltzmann method discrete element method EMMS drag |
| Author | Institution |
| 王利民 |
中国科学院 过程工程研究所 多相复杂系统国家重点实验室, 北京 |
| 邱小平 |
中国科学院 过程工程研究所 多相复杂系统国家重点实验室, 北京 ;中国科学院大学, 北京 |
| 李静海 |
中国科学院 过程工程研究所 多相复杂系统国家重点实验室, 北京 |
|
| Hits: 2307 |
| Download times: 1545 |
| Abstract: |
| A coupled Lattice Boltzmann Method and Discrete Element Method (LBM-DEM) approach is usually a kind of Direct Numerical Simulation (DNS) algorithms for particle-fluid system,in which fluid-solid interactions are realized without any empirical drag correlation,the size of fluid grid is generally one magnitude smaller than particle diameter,and force acting on particles directly calculated by integrating both viscos force and pressure gradient force on the particle surface.The advantages of the method are that it is capable of exploring the flow,transport and reaction details at the gas-solid interface,and establishing the constitutive laws for the simulations at the scales above.However,it has the main disadvantage of huge computational cost,and it is still formidable to simulate the hydrodynamics of an industrial fluidized bed.This paper aims to investigate the hydrodynamic behaviors of multiphase flow between fluid and solid particles in gas-solid fluidized beds,establish a meso-scale LBM-DEM method for the dense gas-solid two-phase flow in which the size of fluid grid is one magnitude larger than particle diameter,and realize the fast discrete simulation of fluidized beds at particle scale.The proposed method describes the flow and transport behaviors by the LBM,tracks the motion of particles by the DEM,and utilizes the energy-minimization multi-scale (EMMS) drag for correcting the interaction between gas and solid particles to improve the simulation accuracy.Fast fluidization in a riser is successfully simulated and the results are in good agreement with experimental data.The numerical results show that the proposed method can be a powerful tool for exploring lab-scale gas-solid systems. |
|
|
|