Experimental and modelling study of drainage and filtration kinetics during oil-mist filtration

油雾过滤过程中排水和过滤动力学的实验和模型研究

• 批准号: 28587800
• 负责人: Professor Dr. Gerhard Kasper
• 金额: --
• 依托单位: Arbeitsgruppe Gas-Partikel-Systeme (GPS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/28587800?language=en
• 关键词: Experimental; modelling; study; drainage; filtration

The objective is to develop an empirical, broadly applicable model for the prediction of steady state oil-mist filter performance. Newly devised experimental methods will be used to study how filter and oil properties are related to steady state filtration efficiency, drainage rate and filter saturation ratio, and to derive equations for the aforementioned equilibrium filtration conditions based on oil and filter properties.Oil droplet filtration from gas streams is a very common requirement for industrial and automotive applications; it constitutes a large sector of the filter industry. Unlike solid particle filtration, mist filters reach a steady state for the internal fluid distribution, which cannot be predicted today, nor is the influence of key parameters such as gas flow, collection rate, coalescence, storage capacity or drainage rates understood. Furthermore no experimental methods exist currently to study the internal processes in detail.

其目的是开发一个经验的、广泛适用的模型来预测稳态油雾过滤器的性能。新设计的实验方法将用来研究过滤器和油的性质如何与稳态过滤效率、滤水率和过滤器饱和度之间的关系，并根据油和过滤器的性质推导出上述平衡过滤条件的方程。从气流中过滤油滴是工业和汽车应用中非常常见的要求；它构成了过滤器行业的一大部分。与固体颗粒过滤不同，雾状过滤器的内部流体分布达到稳定状态，这在今天是无法预测的，也不了解气体流量、收集率、聚结、存储容量或排泄率等关键参数的影响。此外，目前还没有实验方法来详细研究内部过程。

项目成果

Pressure drop and liquid transport through coalescence filter media used for oil mist filtration

• DOI: 10.1016/j.ijmultiphaseflow.2013.10.007
• 发表时间: 2014
• 期刊: International Journal of Multiphase Flow
• 影响因子: 3.8
• 作者: D. Kampa;S. Wurster;J. Buzengeiger;Jörg Meyer;G. Kasper