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Detailed molecular simulations to investigate multicomponent diffusion models
Author(s) -
Patel Harshit A.,
Garde Shekhar,
Nauman E. Bruce
Publication year - 2006
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.10745
Subject(s) - diffusion , component (thermodynamics) , ternary operation , flux (metallurgy) , thermodynamics , hexadecane , chemistry , statistical physics , octane , physics , computer science , organic chemistry , programming language
The theoretical treatment of multicomponent diffusion is complicated by the generally unknown dependence of diffusivities on the local concentration of species. As pointed out by Nauman and Savoca in 2001, the standard treatment uses an n ‐1 by n ‐1 matrix of diffusion coefficients for an n ‐component system and can give anomalous and non‐physical results when there is no dominant component and when the various components have significantly different diffusivities. Although theoretically resolved by postulating diffusivities with suitable concentration dependence, there has been no practical resolution of this problem short of unrealistic, exhaustive experimentation. Nauman and Savoca proposed two models for multicomponent diffusion that produce only physically possible results, but they were unable to suggest which model was better. This article reports on molecular dynamic experiments that were designed to differentiate between the models. Specifically studied were ternary, liquid mixtures of ethane, octane, and hexadecane. It was found that the proportional flux model agrees with the molecular simulations. No cross‐diffusion was observed in agreement with this model and in contrast to the alternative, pair‐wise flux model. The proportional flux model is easy to implement and requires a minimum of data, although detailed, compositional dependent diffusion coefficients can be incorporated into the model when such data are available. © 2005 American Institute of Chemical Engineers AIChE J, 2006

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