| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7007497 | Chemical Engineering Research and Design | 2015 | 11 Pages |
Abstract
- Supercritical fluid solubility prediction empirical models critically examined.
- A new empirical model is proposed and validated using more than 2400 data points.
- A comparative study on prediction performance of all models is carried out.
- Using the proposed model, higher accuracy and agreement can be obtained.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Filtration and Separation
Authors
Milad Asgarpour Khansary, Farshad Amiri, Ashkan Hosseini, Ahmad Hallaji Sani, Hossein Shahbeig,