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REVISTA DE CHIMIE
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https://doi.org/10.37358/Rev.Chim.1949

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Revista de Chimie (Rev. Chim.), Year 2020, Volume 71, Issue 7, 114-125

https://doi.org/10.37358/RC.20.7.8219

Csaba Dezso Andras, Eva Molnos, Laszlo Matyas, Alexandru Szep

New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling

Abstract:

For modeling and simulation of distillation processes, the main information required is the vapour-liquid equilibrium (VLE) data. These are available as discrete values, but for modeling purpose, an analytical function would be more suitable. We developed a simple calculation protocol to obtain a single continuous function for the VLE curve on the entire concentration domain, without using thermodynamic functions. The fitting parameters of binary ethanol-water mixture VLE curve were determined. The methodology is suitable for fitting continuous functions on VLE data of any binary or multicomponent, non-ideal (even azeotropic) mixtures.
Keywords:
distillation; vapour-liquid equilibria; curve fitting; ethanol-water binary mixture

Issue: 2020, Volume 71, Issue 7
Pages: 114-125
Publication date: 2020/8/4
https://doi.org/10.37358/RC.20.7.8219
download pdf   Download Pdf Article
Creative Commons License
This article is published under the Creative Commons Attribution 4.0 International License
Citation Styles
Cite this article as:
ANDRAS, C.D., MOLNOS, E., MATYAS, L., SZEP, A., New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling, Rev. Chim., 71(7), 2020, 114-125.

Vancouver
Andras CD, Molnos E, Matyas L, Szep A. New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling. Rev. Chim.[internet]. 2020 Jul;71(7):114-125. Available from: https://doi.org/10.37358/RC.20.7.8219


APA 6th edition
Andras, C.D., Molnos, E., Matyas, L. & Szep, A. (2020). New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling. Revista de Chimie, 71(7), 114-125. https://doi.org/10.37358/RC.20.7.8219


Harvard
Andras, C.D., Molnos, E., Matyas, L., Szep, A. (2020). 'New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling', Revista de Chimie, 71(7), pp. 114-125. https://doi.org/10.37358/RC.20.7.8219


IEEE
C.D. Andras, E. Molnos, L. Matyas, A. Szep, "New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling". Revista de Chimie, vol. 71, no. 7, pp. 114-125, 2020. [online]. https://doi.org/10.37358/RC.20.7.8219


Text
Csaba Dezso Andras, Eva Molnos, Laszlo Matyas, Alexandru Szep,
New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling,
Revista de Chimie,
Volume 71, Issue 7,
2020,
Pages 114-125,
ISSN 2668-8212,
https://doi.org/10.37358/RC.20.7.8219.
(https://revistadechimie.ro/Articles.asp?ID=8219)
Keywords: distillation; vapour-liquid equilibria; curve fitting; ethanol-water binary mixture


RIS
TY - JOUR
T1 - New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling
A1 - Andras, Csaba Dezso
A2 - Molnos, Eva
A3 - Matyas, Laszlo
A4 - Szep, Alexandru
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2020
VL - 71
IS - 7
SP - 114
EP - 125
UR - https://doi.org/10.37358/RC.20.7.8219
KW - distillation
KW - vapour-liquid equilibria
KW - curve fitting
KW - ethanol-water binary mixture
ER -


BibTex
@article{RevCh2020P114,
author = {Andras Csaba Dezso and Molnos Eva and Matyas Laszlo and Szep Alexandru},
title = {New Fitting Method for Vapour-Liquid Equilibrium Data and its Application for Ethanol-Water Distillation Process Modeling},
journal = {Revista de Chimie},
volume = {71},
number = {7},
pages = {114-125},
year = {2020},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.20.7.8219},
url = {https://revistadechimie.ro/Articles.asp?ID=8219}
}
 
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