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Morphological effects on the transverse permeability of arrays of aligned fibers

机译:形态学对排列的纤维阵列的横向渗透性的影响

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The effect of micro-structure on the effective transverse permeability (K) of unidirectional arrays of cylindrical fibers is investigated computationally using the Boundary Element Method (BEM). By converting the original problem into an integral equation on the boundaries of the domain of interest, the BEM allows the straightforward discretization of complex, multi-connected domains with a fraction of the effort required by domain methods. The equations of Stokes flow are solved in cells containing up to 36 individual fibers located either in uniform arrays (square and hexagonal) or in random locations and the effective permeability is calculated from the corresponding pressure drop and flow rate. Random placement of particles results in the generation of individual microstructures whose permeability shows a scatter around a mean value. This scatter increases significantly as the porosity (phi) of the cell is reduced. Statistical averages are compared to analytical and numerical predictions for the permeability of a perfect square array. It is found that a fully random structure exhibits a permeability slightly higher than a perfect square array for very high porosity values (phi > 0.8), with this trend disappearing for phi less than or equal to 0.8 and tile averages coinciding with the result of the perfect square array. Additionally, the effect of random perturbations in the location and size of fibers around mean values corresponding to perfect square packing of mono-sized fibers is investigated. It is found that such variations have little effect on K at the high-porosity end (phi > 0.8), but they result in a noticeable increase in the effective permeability (as compared to a perfect square array) at the limit of low porosity (phi < 0.5).
机译:使用边界元方法(BEM)通过计算研究了微结构对圆柱形纤维单向阵列有效横向渗透率(K)的影响。通过将原始问题转换为感兴趣域边界上的积分方程,BEM可以用领域方法所需工作量的一小部分直接离散化复杂的多连接域。在包含多达36条位于均匀阵列(正方形和六边形)或随机位置的单根纤维的单元中求解斯托克斯流方程,并根据相应的压降和流速计算有效渗透率。颗粒的随机放置会导致单个微结构的产生,其渗透率在平均值附近散布。随着电池孔隙率(phi)的减少,这种散射显着增加。将统计平均值与解析和数值预测进行比较,以得出理想正方形阵列的磁导率。发现对于非常高的孔隙率值(phi> 0.8),完全随机的结构表现出的渗透率略高于完美的正方形阵列,当phi小于或等于0.8时,这种趋势消失,并且平铺平均值与计算结果一致。完美的正方形阵列。此外,研究了随机位置扰动对纤维位置和尺寸的影响,该位置和尺寸均值对应于单一尺寸纤维的完美正方形堆积。发现这种变化对高孔隙率端处的K几乎没有影响(phi> 0.8),但是在低孔隙率的极限下,它们导致有效磁导率显着增加(与理想的正方形阵列相比)。 phi <0.5)。

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