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Flow and dispersion in anisotropic porous media: A lattice-Boltzmann study

机译:各向异性多孔介质中的流动和分散:格子-玻尔兹曼研究

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摘要

Given their capability of spreading active chemical species and collecting electricity, porous media made of carbon fibers are extensively used as diffusion layers in energy storage systems, such as redox flow batteries. In spite of this, the dispersion dynamics of species inside porous media is still not well understood and often lends itself to different interpretations. Actually, the microscopic design of efficient porous media, which can potentially and effectively improve the performances of flow batteries, is still an open challenge. The present study aims to investigate the effect of fibrous media micro-structure on dispersion, in particular the effect of fiber orientation on drag and dispersion dynamics. Several lattice-Boltzmann simulations of flows through differently oriented fibrous media coupled with Lagrangian simulations of particle tracers have been performed. Results show that orienting fibers preferentially along the streamwise direction minimizes the drag and maximizes the dispersion, which is the most desirable condition for diffusion layers in flow batteries' applications. Published by AIP Publishing.
机译:鉴于它们具有散布活性化学物质和收集电的能力,由碳纤维制成的多孔介质被广泛用作能量存储系统(例如氧化还原液流电池)中的扩散层。尽管如此,人们对多孔介质中物质的分散动力学仍知之甚少,并且常常使其具有不同的解释。实际上,可以潜在且有效地改善液流电池性能的有效多孔介质的微观设计仍然是一个开放的挑战。本研究旨在研究纤维介质微观结构对分散的影响,特别是纤维取向对阻力和分散动力学的影响。进行了流经不同取向纤维介质的流的多个格-玻尔兹曼模拟,以及粒子示踪剂的拉格朗日模拟。结果表明,优先沿流向对纤维进行定向可最大程度地减小阻力,并使分散最大化,这是液流电池应用中扩散层的最理想条件。由AIP Publishing发布。

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