Prediction of the Viscosity of Saturated Liquid and Unsaturated Gaseous Chlorofluorocarbons as Well as Hydrocarbon Mixtures Using the Peng–Robinson Equation of State

In order to determine the viscosity of liquid and gaseous chlorofluorocarbons, various experimental approaches and graphs have been developed, but they had a limited use. In this study, the viscosity of chlorofluorocarbons and hydrocarbon mixtures has been determined by applying a reliable model based n the Peng–Robinson cubic equation of state and the mixing rule for hydrocarbon mixtures. Finally, the Fminsearch algorithm has been used to optimize the result of 531 data points including 451 points for pure chlorofluorocarbons (167 points for saturated liquid chlorofluorocarbons, 284 points for unsaturated gaseous chlorofluorocarbons (R13, R32) and 80 points for binary mixtures. In this study, a large chlorofluorocarbon data set obtained for a wide pressure (3237–5805 kPa), and temperature (301.84–487.40 K) ranges has been used. The results show a similarity between the experimental data and the model results. For 17 pure chlorofluorocarbons considered in this study, the calculated average absolute deviation is 1.92%, and the average relative error for four two-component hydrocarbon mixtures is 5.28%. A difference between the predicted and the experimental viscosity for R13 and R32 was mainly 0.1. In general, the analyzed model is accurate and does not require the bulk density that represents its main advantage.

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Publication Details

Journal
Petroleum Chemistry
Published
2024-12-24
DOI
https://doi.org/10.1134/s0965544124070132
Citations
1
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.18
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article

Prediction of the Viscosity of Saturated Liquid and Unsaturated Gaseous Chlorofluorocarbons as Well as Hydrocarbon Mixtures Using the Peng–Robinson Equation of State

Mohammad Fani Kheshty, Mojtaba Saei Moghaddam, Yashar Tahmasbi
1 citations
Petroleum Chemistry
Phase Equilibria and Thermodynamics
0.18
article

Prediction of the Viscosity of Saturated Liquid and Unsaturated Gaseous Chlorofluorocarbons as Well as Hydrocarbon Mixtures Using the Peng–Robinson Equation of State

Mohammad Fani Kheshty, Mojtaba Saei Moghaddam, Yashar Tahmasbi
article en
1 citations

Abstract

In order to determine the viscosity of liquid and gaseous chlorofluorocarbons, various experimental approaches and graphs have been developed, but they had a limited use. In this study, the viscosity of chlorofluorocarbons and hydrocarbon mixtures has been determined by applying a reliable model based n the Peng–Robinson cubic equation of state and the mixing rule for hydrocarbon mixtures. Finally, the Fminsearch algorithm has been used to optimize the result of 531 data points including 451 points for pure chlorofluorocarbons (167 points for saturated liquid chlorofluorocarbons, 284 points for unsaturated gaseous chlorofluorocarbons (R13, R32) and 80 points for binary mixtures. In this study, a large chlorofluorocarbon data set obtained for a wide pressure (3237–5805 kPa), and temperature (301.84–487.40 K) ranges has been used. The results show a similarity between the experimental data and the model results. For 17 pure chlorofluorocarbons considered in this study, the calculated average absolute deviation is 1.92%, and the average relative error for four two-component hydrocarbon mixtures is 5.28%. A difference between the predicted and the experimental viscosity for R13 and R32 was mainly 0.1. In general, the analyzed model is accurate and does not require the bulk density that represents its main advantage.

Petroleum ChemistryVol. 65(1)
Sadjad University of Technology (IR), Quchan University of Advanced Technology (IR)
Openalex Percentile: Top 49%
Phase Equilibria and Thermodynamics
0.18
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Prediction of the Viscosity of Saturated Liquid and Unsaturated Gaseous Chlorofluorocarbons as Well as Hydrocarbon Mixtures Using the Peng–Robinson Equation of State — Mohammad Fani Kheshty, Mojtaba Saei Moghaddam, et al. · Petroleum Chemistry (2024) | TGRS Research Map | TGRS