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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Mixed matrix membranes' gas separation performance prediction using an analytical model
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Mixed matrix membranes' gas separation performance prediction using an analytical model

机译:解析模型预测混合基质膜的气体分离性能

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摘要

Mixed matrix membranes (MMMs), as a new membrane generation, have been an attractive subject of the worldwide academic and industrial studies accomplished by many researchers. Although many different models have been adapted and/or developed for MMMs' permeability prediction, almost of them neglect the so-called impermeable filler particles' permeabilities, e.g. P-d = 0. In the current study, a new theoretical model is developed to predict MMMs performance considering a surface flux (or permeability) for the so-called impermeable filler particles. Due to the adsorption of the penetrants on the filler particles' surface, there is surface flux on the filler particles. In order to develop a proper model, the ideal MMM structure is divided into three regions: polymer matrix, coating and filler surface regions. Model equations for each region was developed and then the current and the employed predictive models prediction results were compared with those of experimentally measured data. Very well agreement with the current model result with the experimental data was found (e.g. AAREs were reduced from 52.65 to 31.74%, from 51.12 to 28.22% and from 55.33 to 31.50% for the Maxwell, the Bruggeman and the Pal models, respectively in the current proposed model). (C) 2014 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:作为新一代的膜,混合基质膜(MMM)已成为许多研究人员完成的全球学术和工业研究的一个有吸引力的主题。尽管已经为MMM的渗透率预测采用了许多不同的模型和/或开发了模型,但是它们中的大多数几乎忽略了所谓的不可渗透填料颗粒的渗透率,例如。 P-d =0。在当前研究中,开发了一个新的理论模型来预测MMM的性能,其中考虑了所谓的不可渗透填料颗粒的表面通量(或渗透率)。由于渗透剂在填料颗粒表面的吸附,在填料颗粒上存在表面通量。为了开发合适的模型,理想的MMM结构分为三个区域:聚合物基质,涂层和填料表面区域。建立每个区域的模型方程,然后将当前和采用的预测模型的预测结果与实验测量的数据进行比较。发现与当前模型结果与实验数据非常吻合(例如,Maxwell,Bruggeman和Pal模型的AARE从52.65%降低到31.74%,从51.12降低到28.22%,从55.33降低到31.50%。当前建议的模型)。 (C)2014化学工程师学会。由Elsevier B.V.发布。保留所有权利。

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