Geometrical Optimization of Closed-End Cylindrical Air Filter Using CFD Simulation

K. D. L. Rukshan, F. Faraji, F. A. Hamad
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Abstract

This research aims to evaluate the effect of porous filter configuration on flow characteristics within filter using CFD simulation. This simulation model was chosen for comprehensive analysis that considers different variables affecting the filter performances. Dynamics of the flow and pressure drop under different flow conditions and filter geometry were studied. The Euler-Lagrangian approach was used to model multiphase flow, and the standard K-ε model was used for turbulence characterisation. Particle size distribution was characterized using Rosin-Rammler distribution. The initial status of these properties was obtained by previous experimental references and their evolution over time was simulated at the cell level of the model using User-Defined Functions (UDF). The main conclusions of the study are: i) The pressure drop increased with flow rate and thickness of the filter but decreased with increasing filter length and diameter. ii) There is no significant change in velocity ratio with the distance from the filter inlet at the filter centre line except the first 5% from the inlet and last 5% close to the end. iii) it was identified that higher radial velocity ratios imply a less particle deposition within the filter media. The results also shows that the particle loading on 290 mm filter is 50% - 60% lower than the other filters but evenly distributed across the filter. However, the pressure drop decreased with the filter length. 55mm filter that has the highest radial velocity ratio performs poorly in particle trapping.
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利用 CFD 仿真优化封闭式圆柱形空气过滤器的几何形状
本研究旨在利用 CFD 仿真评估多孔过滤器配置对过滤器内流动特性的影响。选择该模拟模型是为了进行综合分析,考虑影响过滤器性能的不同变量。研究了不同流动条件和过滤器几何形状下的流动动态和压降。欧拉-拉格朗日方法用于多相流建模,标准 K-ε 模型用于湍流特征描述。粒度分布采用 Rosin-Rammler 分布表征。这些特性的初始状态是通过以前的实验参考资料获得的,并使用用户自定义函数(UDF)在模型的单元级模拟了它们随时间的演变。研究的主要结论有:i) 压降随流速和过滤器厚度的增加而增大,但随过滤器长度和直径的增加而减小;ii) 除距入口前 5%和靠近末端的最后 5%外,速度比在过滤器中心线上与过滤器入口的距离没有显著变化;iii) 研究发现,径向速度比越高,意味着颗粒在过滤介质中的沉积越少。结果还显示,290 毫米过滤器上的颗粒负荷比其他过滤器低 50%-60%,但在整个过滤器上分布均匀。不过,压降随着过滤器长度的增加而减小。径向速度比最高的 55 毫米过滤器在捕集颗粒方面表现较差。
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