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Understanding how porosity gradients can make a better filter using homogenization theory

机译:了解孔隙率梯度如何使用更好的过滤器   同质化理论

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摘要

Filters whose porosity decreases with depth are often more efficient atremoving solute from a fluid than filters with a uniform porosity. Weinvestigate this phenomenon via an extension of homogenization theory thataccounts for a macroscale variation in microstructure. In the first stage ofthe paper, we homogenize the problems of flow through a filter with anear-periodic microstructure and of solute transport due to advection,diffusion, and filter adsorption. In the second stage, we use thecomputationally efficient homogenized equations to investigate and quantify whyporosity gradients can improve filter efficiency. We find that a porositygradient has a much larger effect on the uniformity of adsorption than it doeson the total adsorption. This allows us to understand how a decreasing porositycan lead to a greater filter efficiency, by lowering the risk of localizedblocking while maintaining the rate of total contaminant removal.
机译:孔隙率随深度降低的过滤器通常比均匀孔隙度的过滤器更有效地从流体中去除溶质。我们通过解释均匀化理论的扩展来研究这种现象,该理论解释了微观结构的宏观变化。在本文的第一阶段,我们对流经具有前周期性微结构的过滤器和由于对流,扩散和过滤器吸附引起的溶质迁移问题进行了均质化。在第二阶段,我们使用计算有效的均化方程来研究和量化为什么孔隙度梯度可以提高过滤效率。我们发现,孔隙度梯度对吸附均匀性的影响比对总吸附的影响大得多。这可以让我们了解孔隙率的降低如何通过降低局部阻塞的风险,同时保持总污染物去除率来提高过滤效率。

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