The Library
New method for the estimation of viscosity of pure and mixtures of ionic liquids based on the UNIFAC–VISCO model
Tools
Tools
Tools
Zhao, Nan, Jacquemin, Johan, Oozeerally, Ryan and Degirmenci, Volkan (2016) New method for the estimation of viscosity of pure and mixtures of ionic liquids based on the UNIFAC–VISCO model. Journal of Chemical & Engineering Data, 61 (6). pp. 2160-2169. doi:10.1021/acs.jced.6b00161
|
PDF
WRAP-new-method-estimation-viscosity-pure-mixtures-Degirmenci-2016.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1055Kb) | Preview |
Official URL: http://dx.doi.org/10.1021/acs.jced.6b00161
Abstract
A modified UNIFAC–VISCO group contribution method was developed for the correlation and prediction of viscosity of ionic liquids as a function of temperature at 0.1 MPa. In this original approach, cations and anions were regarded as peculiar molecular groups. The significance of this approach comes from the ability to calculate the viscosity of mixtures of ionic liquids as well as pure ionic liquids. Binary interaction parameters for selected cations and anions were determined by fitting the experimental viscosity data available in literature for selected ionic liquids. The temperature dependence on the viscosity of the cations and anions were fitted to a Vogel–Fulcher–Tamman behavior. Binary interaction parameters and VFT type fitting parameters were then used to determine the viscosity of pure and mixtures of ionic liquids with different combinations of cations and anions to ensure the validity of the prediction method. Consequently, the viscosities of binary ionic liquid mixtures were then calculated by using this prediction method. In this work, the viscosity data of pure ionic liquids and of binary mixtures of ionic liquids are successfully calculated from 293.15 K to 363.15 K at 0.1 MPa. All calculated viscosity data showed excellent agreement with experimental data with a relative absolute average deviation lower than 1.7%.
| Item Type: | Journal Article | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TP Chemical technology | |||||||||
| Divisions: | Faculty of Science > Engineering | |||||||||
| Library of Congress Subject Headings (LCSH): | Ionic solutions -- Viscosity -- Estimates -- Mathematical models | |||||||||
| Journal or Publication Title: | Journal of Chemical & Engineering Data | |||||||||
| Publisher: | American Chemical Society | |||||||||
| ISSN: | 0021-9568 | |||||||||
| Official Date: | 31 May 2016 | |||||||||
| Dates: |
|
|||||||||
| Date of first compliant deposit: | 15 February 2019 | |||||||||
| Volume: | 61 | |||||||||
| Number: | 6 | |||||||||
| Page Range: | pp. 2160-2169 | |||||||||
| DOI: | 10.1021/acs.jced.6b00161 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access | |||||||||
| RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
