首页> 外文会议>International Symposium on Jet Propulsion and Power Engineering >INVESTIGATION OF GAS-SOLID TWO-PHASE FLOW ACROSS CIRCULAR CYLINDERS WITH DISCRETE VORTEX METHOD
【24h】

INVESTIGATION OF GAS-SOLID TWO-PHASE FLOW ACROSS CIRCULAR CYLINDERS WITH DISCRETE VORTEX METHOD

机译:采用离散涡流法对圆柱体的气固两相流进行调查

获取原文

摘要

A new and effective Lagrangian-Lagrangian model based on the integration of Discrete Vortex Method (DVM) and particle collision model is proposed to study the interaction between large eddies and particle cloud in turbulent shear layer behind the circular cylinders. Two-phase calculation is coupled together with concept of sub circulation method to adjust timestep, so the DVM calculation is in accordance with particle tracking. Based on the validity by analyzing the particle trajectory in Rankine vortex flow, this method is applied to simulate the horizontal particle transport process in high Reynolds turbulent flow across circular cylinders for the particle sedimentation, entrainment and concentration process.And the particles distribution is investigated under different Stokes Number when the mean velocity is in the same direction with gravity. When the Stokes Number is far less than 1,particles are entrapped easily by vortex and finally concentrate near the outer edges of vortex structure due to the their quick response to the flow field. With increasing Stokes Number,particles respond more slowly to the flow field, and thus the influence of gravity is stronger. When Stokes Number is far larger than 1, vortex structure has little influence on the particle distribution and it presents in a similar way with the distribution of flee sedimentation.
机译:基于离散涡方法(DVM)和粒子碰撞模型集成的新而有效的拉格朗日 - 拉格朗日模型提出来研究在圆形圆柱体后面湍流剪切层大的涡流和粒子云之间的相互作用。两相计算是在子循环方法的概念一起耦合到调整时间步长,所以DVM计算是根据粒子追踪。基于通过分析在朗肯涡流颗粒轨道的有效性,应用此方法,以模拟在高雷诺数水平颗粒输送过程湍流穿过圆柱体流动的粒子沉降,夹带和浓度process.And颗粒分布下研究不同斯托克数时的平均速度是与重力相同的方向。当斯托克斯数大于1少得多,颗粒通过涡流容易截留和最后邻近涡流结构的外边缘集中,由于它们的快速响应的流场。随着斯托克数,粒子反应比较慢的流场,从而在重力的作用更强。当斯托克数远远大于1,涡结构对颗粒分布的影响不大,并呈现与逃离沉降的分布类似的方式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号