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Pore-Scale Modeling of Fluid Transport in Disordered Fibrous Materials

机译:无序纤维材料中流体传输的孔尺度模型

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摘要

The modeling of fluid transport in fibrous materials is important for many applications. Most models operate at the continuum level, which requires an a priori knowledge of spatially averaged transport parameters. Alternatively, highl detailed models, in which the momentum equations are solved directly, requrie major simplifying assumptions. Thus, it is desirable to use intermediate-level techniques that model transport using first principles, but that are appropriate for real engineering processes. In this work, pore-scale network modeling is adapted for fibrous materials and tested for a large range of fibrous structures and solid volume fractions. A novel technique is used to generate prototype network structures from Voronoic diagrams. The Voronoi networks are coupled with two different multiphase flow algorithms, enabling the modeling of various displacement processes relevant to engineering. Permeability predictions agree well with known values. Effects of dynamics, wettability, and material structure on displacement were studied. This modeling technique not only allows for better quantification of how microscale properties affect macroscopic transport, but helps reduce the number of experiments required to predict continuum transport parameters for various materials and processes.
机译:纤维材料中流体传输的建模对于许多应用而言很重要。大多数模型在连续水平上运行,这需要对空间平均运输参数具有先验知识。另外,可以直接求解动量方程的高级模型需要大量的简化假设。因此,期望使用中级技术来模拟使用第一原理的运输,但是适合于实际工程过程。在这项工作中,孔尺度网络建模适用于纤维材料,并测试了大范围的纤维结构和固体体积分数。一种新颖的技术用于从Voronoic图生成原型网络结构。 Voronoi网络与两种不同的多相流算法相结合,可以对与工程相关的各种位移过程进行建模。渗透率预测与已知值非常吻合。研究了动力学,润湿性和材料结构对位移的影响。这种建模技术不仅可以更好地量化微观性质如何影响宏观运输,而且有助于减少预测各种材料和工艺的连续运输参数所需的实验次数。

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