基于随机算法的纤维材料过滤特性仿真分析

Simulation analysis of filtration characteristics of fiber materials based on random algorithm

为分析纤维空气过滤材料的流场演变情况,综合过滤效率及颗粒流动轨迹,基于随机算法建立了纤维空气过滤材料的三维模型,并采用计算流体力学中的欧拉-拉格朗日离散相模型,在雷诺相似准则的基础上研究了微米纤维介质中的气固流动特性。结果表明:入口速度变化对流场压力与速度场分布有明显影响,随着入口速度增大,阻滞区域面积增加,流场空隙处更易形成高速流动与速度漩涡,同时流场整体速度差增大,压力损失与入口速度呈正相关;纤维模型对平均粒径为8~18 mm颗粒的过滤效率较为稳定,均在80.4%~84%,在入口速度为2 m/s工况下,过滤效率与粒径接近正比例关系。

In order to understand flow field evolution of fiber-based air filter, a three-dimensional model, integrated filtration efficiency and particle flow path, was established based on the random algorithm fiber air filter material. The computational hydro dynamics following the Euler-Lagrange discrete phase model was studied in gas-solid flow characteristics based on the Reynolds similarity criterion in micron fiber medium. The results show that the change in inlet velocity has a significant effect on the flow field pressure and velocity field distribution. With the increase in inlet velocity, the blocked area increases, and high-speed flow and velocity vortices are more likely to be formed in the flow field voids, and the overall velocity difference increases at the same time. The pressure loss is positively correlated with the inlet velocity. The filtration efficiency of the fiber model is relatively stable for particles with average particle size of 8-18 mm, which is 80.4%-84%, and the relationship between filtration efficiency and particle size is close to direct proportion when the inlet velocity is 2 m/s.