Abstract
In this study, a wide literature survey has been carried out to collect an extensive set of liquid viscosity data for ionic liquids (ILs). A data set consisting of 1672 viscosity values and comprising 443 ILs was collated from 204 different literature sources. Using this data set, a reliable group contribution method has been developed. The method employs a total of 46 sub-structures in addition to the temperature to predict the viscosity of ILs. In order to differentiate the effects of the anion and cation on the viscosity of ILs, 24 sub-structures related to the chemical structure of anions, and 22 sub-structures related to the chemical structure of cations were implemented. The proposed model produces a low average relative deviation (AARD) of less than 6.4% taking into consideration all 1672 experimental data values.
| Original language | English |
|---|---|
| Journal | Chemical Engineering Science |
| Volume | 80 |
| Pages (from-to) | 326-333 |
| ISSN | 0009-2509 |
| DOIs | |
| Publication status | Published - 2012 |
Bibliographical note
Highlights:- A data set consisting of 1672 viscosity values and comprising 443 ILs was collated from the literature.
- A reliable group contribution method has been developed using this dataset.
- The method employs a total of 46 sub-structures in addition to the temperature to predict the viscosity of ILs.
- Twenty four sub-structures related to anions, and 22 sub-structures related cations were implemented.
- The model produces very encouraging results.
Keywords
- Viscosity
- Ionic liquids
- Group contribution
- Model
- Database
- Estimation