Department of Chemical Engineering, Columbia University, New York, New York 10027, USA.
Soft Matter. 2018 Jan 17;14(3):440-447. doi: 10.1039/c7sm01941f.
Membrane separations of gas mixtures strive to maximize the permeability of a desired species while keeping out undesired ones. Permeability vs. selectivity data from many polymer membranes for a given gas pair with diameters d and d are typically collected in a "Robeson plot"', and are bound from above by a line with a slope λ = (d/d) - 1. A microscopic understanding of this relationship, especially λ, is still missing. We perform molecular dynamics simulations of penetrant diffusion using three different coarse-grained polymer models over a wide range of penetrant sizes, temperatures, and monomer densities. The empirically relevant λ = (d/d) - 1 is only found for polymers that are either supercooled liquids with caged segmental dynamics or glasses and when the penetrant size is approximately half the Kuhn length of the chains, for which the penetrant diffusion is an activated process.
混合气体的膜分离旨在最大化目标物种的渗透性,同时阻止不需要的物种渗透。对于给定的气体对,许多聚合物膜的渗透率与选择性数据通常以“Robeson 图”的形式收集,并且受到一条斜率为 λ = (d/d) - 1 的线的限制。对这种关系,特别是 λ 的微观理解仍然缺失。我们使用三种不同的粗粒聚合物模型,在很宽的渗透物尺寸、温度和单体密度范围内,进行了渗透物扩散的分子动力学模拟。只有当聚合物是具有笼状分子动力学的过冷液体或玻璃时,才会出现经验相关的 λ = (d/d) - 1,并且当渗透物尺寸大约是链的 Kuhn 长度的一半时,渗透物扩散是一个激活过程。