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

机译：DSMC预测气体-颗粒两相撞击流中的颗粒行为

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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.
机译：具有冲击流的装置已经在化学工程的各个领域中使用，作为加强热和质量传递过程的手段。本文采用欧拉-拉格朗日方法模拟了气态两相撞击流（GPIS）中的颗粒行为，这对于研究转移过程至关重要。借助于基于拉格朗日方法的改进的直接模拟蒙特卡罗（DSMC）方法和改进的Nanbu方法，考虑了粒子的碰撞相互作用。在预测结果和文献中的实验数据之间获得了定量一致性。合理地给出了粒子的运动行为以及粒子浓度和碰撞位置的分布。结果表明，GPIS中的颗粒分布可分为三个区域：颗粒碰撞区，颗粒喷射区和颗粒散射区。粒子碰撞主要发生在粒子碰撞区域，这显然导致少数粒子渗透到相反的流中。颗粒间碰撞率和颗粒浓度分别在颗粒碰撞区达到最大值。颗粒浓度的最大值根据对数函数随着入口颗粒浓度的增加而增加。粒子间碰撞率与局部粒子浓度的平方成正比。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第14期|254082.1-254082.11|共11页
  • 作者

    Min Du; Changsui Zhao; Bin Zhou; Yingli Hao;

  • 作者单位

    School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China,Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China;

    Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China;

    Institute of Space Science and Technology, Southeast University, Nanjing 210096, China;

    Institute of Space Science and Technology, Southeast University, Nanjing 210096, China;

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