旋流器的微米级颗粒分级性能分析

发布时间：2018-05-04 08:48

  本文选题：微型旋流器 + 数值模拟　； 参考：《化工进展》2017年12期

【摘要】：微型旋流器中的超重力场和剪切湍流场可以强化微米级颗粒的分级。为了分析旋流器的微米级颗粒分级性能,本文通过试验与数值模拟相结合的方法研究了入口速度和底流分率对旋流分级的影响。数值模拟方面使用雷诺应力模型模拟了微型旋流器内的流场,试验方面使用直径为20mm的微型旋流器来分级粒度分布为2~50μm的颗粒物料。结果表明,随着入口速度的增大,分割粒度x50减小,可达4.8μm,分级精度H提高,可达0.45;随着底流分率R_f的增大,不会显著改变切向和径向速度,颗粒在旋流器内的沉降速度变化不大,但轴向速度会减小,使得颗粒在旋流器内的停留时间增加,分级效率提高;当底流分率R_f0.6时,随着R_f的增大,分割粒度x_(50)减小,可达4.7μm,分级精度H提高,可达0.6;当底流分率R_f0.6时,分割粒度x50增大,分级精度H降低。
[Abstract]:The supergravity field and shear turbulence field in micro hydrocyclone can enhance the classification of micron particles. In order to analyze the performance of micrometer particle classification of hydrocyclone, the effects of inlet velocity and bottom flow fraction on cyclone classification are studied by means of experimental and numerical simulation. In numerical simulation, Reynolds stress model is used to simulate the flow field in the miniature hydrocyclone. In the experiment, the micro hydrocyclone with diameter of 20mm is used to classify the particle size distribution of 2 ~ 50 渭 m particles. The results show that with the increase of inlet velocity, the partition granularity x50 decreases to 4.8 渭 m, the classification accuracy H increases to 0.45, and the tangential and radial velocities do not change significantly with the increase of the bottom flow fraction R _ f. The settling velocity of particles in the hydrocyclone does not change much, but the axial velocity decreases, which increases the residence time of particles in the hydrocyclone and improves the classification efficiency. When the ratio of bottom flow is R_f0.6, the partitioning particle size x _ stack decreases with the increase of R _ S _ f. It can reach 4.7 渭 m, and the classification accuracy H can be increased to 0.6. When the bottom flow fraction rate is R_f0.6, the partition size x50 increases and the classification precision H decreases.
【作者单位】： 常州大学机械工程学院;常州大学江苏省绿色过程装备重点实验室;
【分类号】：TQ051.8
，

本文编号：1842383