Predicting the viscosity of asymmetric hydrocarbon mixtures with the expanded fluid viscosity correlation / H. Motahhari in Industrial & engineering chemistry research, Vol. 50 N° 22 (Novembre 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 22 (Novembre 2011) . - pp. 12831-12843 Titre : Predicting the viscosity of asymmetric hydrocarbon mixtures with the expanded fluid viscosity correlation Type de document : texte imprimé Auteurs : H. Motahhari, Auteur ; M. A. Satyro, Auteur ; Harvey W. Yarranton, Auteur Année de publication : 2012 Article en page(s) : pp. 12831-12843 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Correlation analysis Viscosity Prediction Résumé : Mass-based mixing rules are proposed for the Expanded Fluid viscosity correlation that are suitable for asymmetric mixtures and replace the original volumetric mixing rules. The Expanded Fluid correlation provides viscosity values as a function of fluid density and characterizes each pure compound with three fluid-specific parameters: c2, ρs° and c3, when using experimental densities and two parameters, c2, ρs°, when using a cubic equation of state. The proposed set of mixing rules predicts the viscosity of over 90 binary mixtures with overall average absolute relative deviations (AARD) of 2.9% and 7.8% using measured densities and densities estimated from an equation of state, respectively. To improve the predictions in equation of state applications, a binary interaction parameter is introduced to the mixing rules, compensating for inaccuracies associated with density predictions from simple cubic equations of state. Using fitted interaction parameters, the overall AARD is 3.6%. The binary interaction parameters are generalized as a function of the molecular weight and Watson K-factor. Using these generalized binary interaction parameters, the overall AARD is reduced to 5.4% for over 90 binary mixtures. The proposed mixing rules and the general binary interaction parameters correlations are also tested on an independent data set which includes 40 binary, ternary, and multicomponent mixtures. The overall AARDs are 8.4% using measured densities and 11.6 and 7.1% using equation-of-state based densities with zero and generalized binary interaction parameters, respectively. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24745759 [article] Predicting the viscosity of asymmetric hydrocarbon mixtures with the expanded fluid viscosity correlation [texte imprimé] / H. Motahhari, Auteur ; M. A. Satyro, Auteur ; Harvey W. Yarranton, Auteur . - 2012 . - pp. 12831-12843. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 22 (Novembre 2011) . - pp. 12831-12843 Mots-clés : Correlation analysis Viscosity Prediction Résumé : Mass-based mixing rules are proposed for the Expanded Fluid viscosity correlation that are suitable for asymmetric mixtures and replace the original volumetric mixing rules. The Expanded Fluid correlation provides viscosity values as a function of fluid density and characterizes each pure compound with three fluid-specific parameters: c2, ρs° and c3, when using experimental densities and two parameters, c2, ρs°, when using a cubic equation of state. The proposed set of mixing rules predicts the viscosity of over 90 binary mixtures with overall average absolute relative deviations (AARD) of 2.9% and 7.8% using measured densities and densities estimated from an equation of state, respectively. To improve the predictions in equation of state applications, a binary interaction parameter is introduced to the mixing rules, compensating for inaccuracies associated with density predictions from simple cubic equations of state. Using fitted interaction parameters, the overall AARD is 3.6%. The binary interaction parameters are generalized as a function of the molecular weight and Watson K-factor. Using these generalized binary interaction parameters, the overall AARD is reduced to 5.4% for over 90 binary mixtures. The proposed mixing rules and the general binary interaction parameters correlations are also tested on an independent data set which includes 40 binary, ternary, and multicomponent mixtures. The overall AARDs are 8.4% using measured densities and 11.6 and 7.1% using equation-of-state based densities with zero and generalized binary interaction parameters, respectively. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24745759

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