Methodology for predicting oily mixture properties in the mathematical modeling of molecular distillation
| Autor: | M. F. Gayol, M. C. Pramparo, S. M. Miró Erdmann |
|---|---|
| Jazyk: | English<br />Spanish; Castilian |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Grasas y Aceites, Vol 68, Iss 2, Pp e193-e193 (2017) |
| Druh dokumentu: | article |
| ISSN: | 0017-3495 1988-4214 |
| DOI: | 10.3989/gya.1051162 |
| Popis: | A methodology for predicting the thermodynamic and transport properties of a multi-component oily mixture, in which the different mixture components are grouped into a small number of pseudo components is shown. This prediction of properties is used in the mathematical modeling of molecular distillation, which consists of a system of differential equations in partial derivatives, according to the principles of the Transport Phenomena and is solved by an implicit finite difference method using a computer code. The mathematical model was validated with experimental data, specifically the molecular distillation of a deodorizer distillate (DD) of sunflower oil. The results obtained were satisfactory, with errors less than 10% with respect to the experimental data in a temperature range in which it is possible to apply the proposed method. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|