2017
DOI: 10.1016/j.molliq.2017.02.079
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Mutual diffusion in concentrated liquid solutions: A new model based on cluster theory

Abstract: In dilute solutions, diffusion is dominated by motion of single molecules. Conversely, in nonideal concentrated solutions, mass transfer by diffusion can be heavily influenced by molecular clustering. Cluster theory in concentrated solutions can be approached using the Cussler model, which has been used to explain experimental mutual diffusion data in highly concentrated solutions. In this work, using the Cussler model and the critical point theory as a starting point, a new model for predictions of mutual dif… Show more

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Cited by 12 publications
(5 citation statements)
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“…where n DES is the mole quantity of absorbent, and it was obtained according to the mass weight and the mole mass of DESs. To evaluate the model performance, the discrepancies between the results (i.e., CO 2 solubility X, Henry's constant H) estimated with COSMO-RS and the corresponding experimental data points were quantified with the absolute relative error (ARD) as defined by Equation 2 (Kamgar et al, 2017a). ARD% = 100…”
Section: Cosmo-rs Computation Detailsmentioning
confidence: 99%
“…where n DES is the mole quantity of absorbent, and it was obtained according to the mass weight and the mole mass of DESs. To evaluate the model performance, the discrepancies between the results (i.e., CO 2 solubility X, Henry's constant H) estimated with COSMO-RS and the corresponding experimental data points were quantified with the absolute relative error (ARD) as defined by Equation 2 (Kamgar et al, 2017a). ARD% = 100…”
Section: Cosmo-rs Computation Detailsmentioning
confidence: 99%
“…Due to the constant need for reliable estimation of diffusivities, modeling and correlation of diffusion data have long been a subject of immense research interest. Currently, publications found in this area of study are considerable in the literature. There is clearly still a strong demand for good models and general equations that can be applied to accurately correlate or predict diffusivities of solute compounds in solutions, especially those that are applicable for a broad range of solvents and temperatures.…”
Section: Introductionmentioning
confidence: 99%
“…As the cosolvent, Cr is typically utilized with a significant amount and the Cr diffusion coefficient can be calculated using the activity coefficient: D Cr = ( D Cr × X Si + D Si × X Cr ) × normald .25em ln .25em a normald .25em ln .25em X Cr where a is the activity coefficient and D Si and D Cr are the intradiffusion coefficients based on the Einstein equation. Due to the low carbon solubility, the carbon mole fraction is negligible.…”
Section: Carbon and Chromium Diffusion Fieldmentioning
confidence: 99%