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A predictive mass transport model for gas separation using glassy polymer membranes

机译:使用玻璃态聚合物膜进行气体分离的预测性传质模型

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摘要

In this work, a predictive mass transfer model was developed based on the solution-diffusion mechanism for gas permeation through glassy polymer membranes. For this purpose, the non-equilibrium lattice fluid ( NELF) theory in conjunction with the modified Fick's law and the free volume theory were employed for prediction of gas sorption and permeation and the computational fluid dynamics (CFD) method was used to solve the governing transport equations. This CFD modeling was solved based on the two different cases for the gas diffusion coefficients inside the membrane: ( Case 1) concentration dependent diffusion coefficients from the literature and (Case 2) developed diffusion coefficient based on the free volume theory. The proposed models were validated by the experimental data collected in this work as well as the experimental data reported in the literature. The results revealed that the NELF model enables us to predict the sorption behavior of N-2, O-2, CO2 and CH4 into the polysulfone membrane and the predicted sorption values were in very good agreement with experimental results. Furthermore, the developed mass transport model is able to determine the influence of operating parameters such as temperature and pressure on the separation performance of the membrane and the experimental flux and selectivity were satisfactorily predicted by the proposed model.
机译:在这项工作中,基于溶液扩散机制通过玻璃态聚合物膜渗透气体,建立了预测的传质模型。为此,将非平衡点阵流体(NELF)理论与修正的Fick定律和自由体积理论结合起来用于气体吸附和渗透的预测,并使用计算流体力学(CFD)方法来解决控制问题。运输方程。基于两种不同的膜内部气体扩散系数的情况,解决了这种CFD建模问题:(情况1)文献中与浓度有关的扩散系数,以及(情况2)基于自由体积理论得出的扩散系数。通过这项工作收集的实验数据以及文献中报道的实验数据验证了所提出的模型。结果表明,NELF模型使我们能够预测N-2,O-2,CO2和CH4在聚砜膜中的吸附行为,并且预测的吸附值与实验结果非常吻合。此外,开发的传质模型能够确定温度和压力等操作参数对膜分离性能的影响,并且所提出的模型令人满意地预测了实验通量和选择性。

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