Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures
Accurate predictive tools for VLE calculation are always needed. A new method is introduced for VLE calculation which is very simple to apply with very good results compared with previously used methods. It does not need any physical property except each binary system need tow constants only. Also,...
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doaj-92ce153e8da64fa1bc40d815a6d67ab62020-11-25T01:44:41ZengUniversity of Baghdad/College of EngineeringIraqi Journal of Chemical and Petroleum Engineering1997-48842618-07072011-12-01124Improved Method to Correlate and Predict Isothermal VLE Data of Binary MixturesVenus Majeed Bakall Bashy Al-Temimi Accurate predictive tools for VLE calculation are always needed. A new method is introduced for VLE calculation which is very simple to apply with very good results compared with previously used methods. It does not need any physical property except each binary system need tow constants only. Also, this method can be applied to calculate VLE data for any binary system at any polarity or from any group family. But the system binary should not confirm an azeotrope. This new method is expanding in application to cover a range of temperature. This expansion does not need anything except the application of the new proposed form with the system of two constants. This method with its development is applied to 56 binary mixtures with 1120 equilibrium data point with very good accuracy. The developments of this method are applied on 13 binary systems at different temperatures which gives very good accuracy. http://ijcpe.uobaghdad.edu.iq/index.php/ijcpe/article/view/358VLE, vapor liquid equilibrium, isothermal data prediction, new thermodynamic relation, VLE of binary mixtures. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Venus Majeed Bakall Bashy Al-Temimi |
spellingShingle |
Venus Majeed Bakall Bashy Al-Temimi Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures Iraqi Journal of Chemical and Petroleum Engineering VLE, vapor liquid equilibrium, isothermal data prediction, new thermodynamic relation, VLE of binary mixtures. |
author_facet |
Venus Majeed Bakall Bashy Al-Temimi |
author_sort |
Venus Majeed Bakall Bashy Al-Temimi |
title |
Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures |
title_short |
Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures |
title_full |
Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures |
title_fullStr |
Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures |
title_full_unstemmed |
Improved Method to Correlate and Predict Isothermal VLE Data of Binary Mixtures |
title_sort |
improved method to correlate and predict isothermal vle data of binary mixtures |
publisher |
University of Baghdad/College of Engineering |
series |
Iraqi Journal of Chemical and Petroleum Engineering |
issn |
1997-4884 2618-0707 |
publishDate |
2011-12-01 |
description |
Accurate predictive tools for VLE calculation are always needed. A new method is introduced for VLE calculation which is very simple to apply with very good results compared with previously used methods. It does not need any physical property except each binary system need tow constants only. Also, this method can be applied to calculate VLE data for any binary system at any polarity or from any group family. But the system binary should not confirm an azeotrope. This new method is expanding in application to cover a range of temperature. This expansion does not need anything except the application of the new proposed form with the system of two constants. This method with its development is applied to 56 binary mixtures with 1120 equilibrium data point with very good accuracy. The developments of this method are applied on 13 binary systems at different temperatures which gives very good accuracy.
|
topic |
VLE, vapor liquid equilibrium, isothermal data prediction, new thermodynamic relation, VLE of binary mixtures. |
url |
http://ijcpe.uobaghdad.edu.iq/index.php/ijcpe/article/view/358 |
work_keys_str_mv |
AT venusmajeedbakallbashyaltemimi improvedmethodtocorrelateandpredictisothermalvledataofbinarymixtures |
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1725027066971160576 |