کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7842190 1506508 2018 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Viscosity prediction of ionic liquid + molecular solvent mixtures at various temperatures
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
Viscosity prediction of ionic liquid + molecular solvent mixtures at various temperatures
چکیده انگلیسی
To evaluate the ability of a combined form of the Jouyban-Acree model with the Abraham parameters, the viscosity data for 84 sets of ionic liquid + molecular solvent binary mixtures at various temperatures were predicted. Percent average relative deviations (%ARD) of the predicted and experimental values were calculated as an accuracy criterion and were obtained as 19.1 and 20.1 by considering the theoretical and experimental Abraham parameters, respectively. The collected data were also correlated using the Jouyban-Acree model, which is resulted in the overall %ARDs of 16.8 and 18.1 for back-calculated data by regarding the theoretical and experimental Abraham parameters, respectively. Moreover, to update the previously proposed global model, the earlier data were merged with the collected data from recent publications and total data sets were used to retrain the global Jouyban-Acree model by regarding the theoretical and experimental Abraham parameters. Comparing %ARD of the proposed model using correlated newly data and total (new and earlier) data sets show no statistically significant difference while there is a meaningful difference between calculations by considering the theoretical and experimental Abraham parameters. Moreover, to compare the capability of the Jouyban-Acree model for correlating viscosities of binary liquid mixtures, the overall %ARD were determined and compared to three selected models; Wilson, Katti and Chaudhary, and Eyring-NRTL. The order of the amount of obtained %ARD are Jouyban-Acree < Wilson < Katti and Chaudhary < Eyring-NRTL which is indicative of the suitability of Jouyban-Acree for correlation and prediction of the viscosity data for the binary liquid mixtures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Liquids - Volume 263, 1 August 2018, Pages 228-236
نویسندگان
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