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
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
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.