DSMC Prediction of Particle Behavior in Gas-Particle Two-Phase Impinging Streams

被引:3
|
作者
Du, Min [1 ,2 ]
Zhao, Changsui [2 ]
Zhou, Bin [3 ]
Hao, Yingli [3 ]
机构
[1] Jiangsu Univ, Sch Energy & Power Engn, Zhenjiang 212013, Peoples R China
[2] Southeast Univ, Sch Energy & Environm, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Jiangsu, Peoples R China
[3] Southeast Univ, Inst Space Sci & Technol, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
SIMULATION;
D O I
10.1155/2013/254082
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Devices with impinging streams have been employed in various fields of chemical engineering, as a means of intensifying heat and mass transfer processes. The particle behavior in gas-particle two-phase impinging streams (GPISs), which is of essential importance for the research of transfer processes, was simulated by an Eulerian-Lagrangian approach in this paper. Collisional interaction of particles was taken into account by means of a modified direct simulation Monte Carlo (DSMC) method based on a Lagrangian approach and the modified Nanbu method. A quantitative agreement was obtained between the predicted results and the experimental data in the literature. The particle motion behavior and the distributions of particle concentration and particle collision positions were presented reasonably. The results indicate that the particle distribution in GPIS can be divided into three zones: particle-collision zone, particle-jetting zone, and particle-scattering zone. Particle collisions occur mainly in the particle-collision zone, which obviously results in a few particles penetrating into the opposite stream. The interparticle collision rate and the particle concentration reach their maximum values in the particle-collision zone, respectively. The maximum value of the particle concentration increases with the increasing inlet particle concentration according to a logarithmic function. The interparticle collision rate is directly proportional to the square of local particle concentration.
引用
收藏
页数:11
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