Modeling the separation performance of depth filter considering tomographic data
Modeling the separation performance of depth filter considering tomographic data
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DOI：
10.1002/ep.13423
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发表时间：
2020-03-16
影响因子：
2.8
通讯作者：
Pieloth, Damian
中科院分区：
文献类型：
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作者：
Hoppe, Kevin;Maricanov, Michail;Pieloth, Damian
纤维深度过滤器经常用于净化具有低粉尘负载的气流，以及需要高初始过滤效率的工艺（例如，用于无菌生产的洁净室）。适用于支持优化过滤介质开发的一种工具是使用数值模拟。这种技术的缺点是需要大量的计算资源。在这项工作中，一个新的和快速的方法的基础上的一维模型。结构特征（例如，孔隙率分布和纤维直径）的两种不同的过滤介质成功地确定使用一种新的X射线显微镜。将这些特性纳入过滤模型，并评估其对计算的影响。结果发现，孔隙率分布确实对局部（微观）沉积速率有影响，但对宏观过滤效率的影响很小（约3%）。该模型的优点是测量结构数据的应用和较低的计算费用。与实验数据（ISO 3926 / ISO 11057）相比，过滤效率的预测可以通过将结构数据并入模型中来改进。
Fibrous depth filters are frequently used for the purification of gas streams with low dust loadings, as well as processes where a high initial filtration efficiency is required (e.g., clean rooms for aseptic production). One tool suitable for supporting the development of optimized filter media is the use of numerical simulations. The drawback of this technique is the high computational resources required. In this work, a new and fast approach based on a one-dimensional model was applied. Structural characteristics (e.g., porosity distribution and fiber diameter) of two different filter media were successfully determined using a novel X-ray microscope. These characteristics were incorporated in the filtration model, and their influence on the calculations was evaluated. It was found that the porosity distribution does have an impact on local (microscopic) deposition rates, but only a minor influence on the macroscopic filtration efficiency (around 3%). Benefits of the model are the application of measured structural data and the low computational expense. Compared to experimental data (VDI 3926 / ISO 11057), the prediction of the filtration efficiency can be improved by incorporating the structural data in the model.