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A METHOD FOR PREDICTING THE DIFFUSION COEFFICIENT BASED ON THE PHYSICAL CHARACTERISATION OF POROUS CARBONS BY ADSORPTION

机译:一种基于吸附基于多孔碳的物理特征预测扩散系数的方法

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Diffusion is important in many applications of nanoporous carbons, including in gas separation, catalysis, gas storage, controlled release and electrochemical energy storage. It is, therefore, important to be able to model diffusion of fluids in nanoporous carbons when seeking to design them and associated processes in these and other contexts. The long standing approach to modelling diffusion in porous solids involves averaging a pore-level transport model over the pore size distribution (PSD) and then using the so-called tortuosity~1 to account for pore system topology and other features omitted from the averaging (see, for example, ref 2). Diffusion experiments are the main means used to determine tortuosities. This has a number of disadvantages – there is currently no commercially available apparatus, the experiments are challenging and potentially time consuming, and a sufficient quantity of the carbon must exist. By combining molecular simulation at the single-pore level with a pore network (PN) model whose physical characteristics are determined using equilibrium experiments, these issues can be largely circumvented. This paper briefly describes such a method along with its initial assessment.
机译:扩散在纳米多孔碳的许多应用中是重要的,包括气体分离,催化,储气,控制释放和电化学能量储存。因此,在寻求设计它们和相关的环境中,能够在纳米多孔碳中模拟纳米多孔碳中的流体的扩散是重要的。在多孔固体中建模扩散的长站点涉及在孔径分布(PSD)上平均孔径传输模型,然后使用所谓的曲折〜1来考虑孔系统拓扑和其他特征从平均值省略(请参阅,例如,参考2)。扩散实验是用于确定橘子的主要手段。这具有许多缺点 - 目前没有商业上可获得的装置,实验是具有挑战性的并且可能耗时的耗时,并且必须存在足够量的碳。通过使用孔网络(PN)模型将单孔水平的分子模拟与使用平衡实验确定的物理特性,这些问题可以很大程度地绕进。本文简要介绍了这种方法以及其初始评估。

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