Le Coq L
Ecole des Mines de Nantes-GEPEA UMR CNRS 6144, BP 20277, 44307 Nantes Cedex 3, France.
Environ Technol. 2008 Feb;29(2):141-9. doi: 10.1080/09593330802028477.
Predicting the macroscopic properties of porous media used in treatment processes is a complex task regarding 3-D structures at micro-, meso- and macro-levels. Currently, information is scarce concerning the influence, at a microscopic level of the 3-D structure of fibrous media on the physical laws governing their macroscopic behaviour. Nevertheless, the relationship between macroscopic properties (pressure drop, treatment efficiency) and microstructure can be assessed thanks to suitable structure modelling theories. In this context, the present study proposes and compares different methods (mercury porosimetry and image analysis) for the structure characterization at a microscopic level of filtering fibrous media, such as nonwoven and woven fabrics. The results obtained show a porous structure gradient in the thickness of the nonwoven media studied in terms of porosity, pore size and tortuosity factor. Moreover, the influence on structural parameters of media compression, when submitted to friction forces exerted by flow during filtration tests, is established. A model for the determination of multi-level pore size distributions from mercury porosimetry data is proposed. The "equivalent pore" model is used to estimate the tortuosity factor. The influence of measured structural parameters on fibrous media permeability is studied in a classical model for flow through fibrous media.
预测处理过程中使用的多孔介质的宏观特性是一项涉及微观、介观和宏观层面三维结构的复杂任务。目前,关于纤维介质三维结构在微观层面上对其宏观行为所遵循物理规律的影响,相关信息匮乏。然而,借助合适的结构建模理论,可以评估宏观特性(压降、处理效率)与微观结构之间的关系。在此背景下,本研究提出并比较了不同方法(压汞法和图像分析),用于对诸如无纺布和机织物等过滤纤维介质进行微观层面的结构表征。所得结果表明,在所研究的无纺布介质厚度方向上,孔隙率、孔径和曲折因子方面存在多孔结构梯度。此外,还确定了在过滤试验期间介质受到流动施加的摩擦力时,介质压缩对结构参数的影响。提出了一种从压汞法数据确定多级孔径分布的模型。使用“等效孔隙”模型来估计曲折因子。在通过纤维介质流动的经典模型中,研究了测量的结构参数对纤维介质渗透率的影响。