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一个高度非理想三元体系扩散的预测模型。

A predictive model for the diffusion of a highly non-ideal ternary system.

机构信息

Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, UK.

Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.

出版信息

Phys Chem Chem Phys. 2018 Jul 11;20(27):18436-18446. doi: 10.1039/c8cp03227k.

Abstract

Diffusion plays a central part in many unit operations. The Maxwell-Stefan model is the dominant model for both gaseous and liquid diffusion. However, it was developed from the kinetic theory of gases, raising the question of whether it can be extended to non-ideal liquid systems. The dynamic fluctuation model is an alternative model based on the Cussler theory and predicts a smaller thermodynamic influence relative to the linear influence of the Maxwell-Stefan model due to dynamic concentration fluctuations. Since the dynamic fluctuation model, which uses the scaling factor α, had improved performance relative to the Maxwell-Stefan model for a wide range of binary systems, it is postulated that this improved performance should also be observed for a ternary system. In this work, the dynamic molecular fluctuation model was extended to a highly non-ideal ternary system, using the same scaling factor α, through matrix manipulation. Using self-diffusion data measured by NMR, mutual diffusion predictions of the developed model and the Maxwell-Stefan model were compared to experimental mutual diffusion data of the partially miscible system ethanol/toluene/n-decane. It is demonstrated that the dynamic fluctuation model gives improved predictions relative to the Maxwell-Stefan approach, consistent with previous observations on binary systems, showing that the reduced thermodynamic influence of the dynamic fluctuation model is an improvement. In addition, we show that the use of local mole fractions, to account for molecular association, in both the dynamic fluctuation and Maxwell-Stefan models, results in improved diffusion predictions for the ternary system. The results confirm that the dynamic fluctuation model improves predictions of mutual diffusion in liquid mixtures, suggesting a non-linear correction to the thermodynamic correction factor. The results also suggest that that the key assumptions in the Maxwell-Stefan model and its derivation, rooted in the kinetic theory of gases, are not entirely accurate for highly non-ideal liquid systems. The optimum α for the ternary system studied here is approximately 0.45, similarly to the optimum α of 0.40 to 0.80 for a range of binary systems previously studied, suggesting that the use of the α scaling factor, which is grounded in scaling laws theory, is of general validity.

摘要

扩散在许多单元操作中起着核心作用。Maxwell-Stefan 模型是气态和液态扩散的主导模型。然而,它是从气体的运动论发展而来的,这就提出了一个问题,即它是否可以扩展到非理想的液体系统。动态波动模型是另一种基于 Cussler 理论的模型,与 Maxwell-Stefan 模型的线性影响相比,它预测热力学影响较小,这是由于动态浓度波动的影响。由于动态波动模型(使用标度因子α)相对于 Maxwell-Stefan 模型在广泛的二元系统中具有更好的性能,因此假设这种改进的性能也应该在三元系统中观察到。在这项工作中,通过矩阵运算,将动态分子波动模型扩展到高度非理想的三元系统,使用相同的标度因子α。利用 NMR 测量的自扩散数据,将所开发模型和 Maxwell-Stefan 模型的互扩散预测与部分混溶性体系乙醇/甲苯/正癸烷的实验互扩散数据进行了比较。结果表明,与 Maxwell-Stefan 方法相比,动态波动模型的预测得到了改善,这与以前在二元系统中的观察结果一致,表明动态波动模型的热力学影响减小是一种改进。此外,我们还表明,在动态波动和 Maxwell-Stefan 模型中,使用局部摩尔分数来考虑分子缔合,可以改进三元系统的扩散预测。结果证实,动态波动模型可以改善液体混合物中互扩散的预测,表明对热力学修正因子进行了非线性修正。结果还表明,Maxwell-Stefan 模型及其推导所基于的气体运动论中的关键假设对于高度非理想的液体系统并不完全准确。这里研究的三元系统的最佳α值约为 0.45,与之前研究的一系列二元系统的最佳α值 0.40 至 0.80 相似,这表明基于标度律理论的α标度因子的使用具有普遍有效性。

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