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›› 2011, Vol. 11 ›› Issue (5): 729-735.

• 流动与传递 • 上一篇    下一篇

超细分级机进料管内颗粒浓度分布特性的数值模拟

刁雄 李双跃 李良超 黄鹏   

  1. 西南科技大学制造科学与工程学院 西南科技大学制造学院 西南科技大学制造学院 西南科技大学制造学院
  • 收稿日期:2011-08-30 修回日期:2011-10-31 出版日期:2011-10-20 发布日期:2011-10-20
  • 通讯作者: 刁雄

Numerical Simulation on Concentration Distribution of Particles in the Feeding Pipe of a Superfine Classifier

DIAO Xiong LI Shuang-yue LI Liang-chao HUANG Peng   

  1. School of Manufacturing Science and Engineering, Southwest University of Science and Technology College of Manufacturing Sci. and Eng., Southwest University of Science and Technology College of Manufacturing Sci. and Eng., Southwest University of Science and Technology College of Manufacturing Sci. and Eng., Southwest University of Science and Technology
  • Received:2011-08-30 Revised:2011-10-31 Online:2011-10-20 Published:2011-10-20
  • Contact: DIAO Xiong

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被引次数

8

摘要： 采用RNG k-e湍流模型和随机轨道模型，对SCX超细分级机进料管内颗粒浓度分布进行了数值模拟，探讨了入口固体浓度、入口气速、粒径等的影响. 结果表明，弯管出口附近颗粒浓度分布波动大，但在距弯管出口距离为6倍管径处波动趋于稳定. 整个竖直段任意横截面可分为高浓度和低浓度区域，且两区的无因次半径(r/R)有一定范围：X方向低浓度区为-1

关键词: 超细分级机, 进料管, 颗粒浓度分布, 数值模拟, RNG k-e湍流模型

Abstract: RNG k-e turbulent model and the stochastic track model were respectively adopted to simulate the particle concentration distribution characteristics in the feeding pipe of a superfine classifier SCX. The effects of inlet solid concentration, inlet velocity and particle diameter on the concentration distribution of particles were analyzed. The results show that the distribution fluctuates significantly near the bending outlet, but it becomes more stable from the bending outlet of 6 times pipe diameter. The particle concentration in the vertical section can be divided into high and low concentration areas. The dimensionless radius (r/R) of two areas is in a certain range. In the X direction, the low concentration range is -1

Key words: superfine classifier, feeding pipe, particle concentration distribution, numerical simulation, RNG k-e turbulent model

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