شماره ركورد كنفرانس :
5041
عنوان مقاله :
Prediction of Fifty Ionic Liquid Densities Using Six Generalized Models
Author/Authors :
A. Zarei Department of Chemical Engineering, Petroleum and Gas Engineering - Shiraz University of Technology, Shiraz, Iran , K. Nasrifar Department of Chemical Engineering, Petroleum and Gas Engineering - Shiraz University of Technology, Shiraz, Iran
كليدواژه :
Ionic liquids , Liquid density , Generalized correlations , Predictive model
سال انتشار :
2018
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
زبان مدرك :
انگليسي
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
The widespread use of toxic solvents in chemical industry leads to serious environmental damage. Therefore, a good alternative to the solvents that are environmentally safe are felt strongly in the chemical and pharmaceutical industries. Green solvents are suitable substitutes for these solvents as they are nonvolatile and often nontoxic. Ionic liquids are a variety of green solvents. In this study, the saturated liquid density models use the critical temperature, the critical volume, the normal boiling temperature and the molecular mass to estimate the density at atmospheric pressure for different temperatures commonly used in ionic liquid applications. A set of 3303 density data points for 50 ionic liquids was used in the study. The results of six generalized corresponding state principle correlations available in the literature were compared with experimental data. Results show that the NM model gives lower deviations compared to the others and can be used with confidence in thermodynamic and engineering calculations.
كشور :
ايران
تعداد صفحه 2 :
4
از صفحه :
1
تا صفحه :
4
لينک به اين مدرک :
بازگشت