TY - JOUR
T1 - Linking Viscosity to Equations of State Using Residual Entropy Scaling Theory
AU - Yang, Xiaoxian
AU - Xiao, Xiong
AU - Thol, Monika
AU - Richter, Markus
AU - Bell, Ian H.
N1 - Funding Information:
Open Access funding enabled and organized by Projekt DEAL. The realization of the project and the scientific work was supported by the German Federal Ministry of Education and Research on the basis of a decision by the German Bundestag (Funding Code 03SF0623A). The authors gratefully acknowledge this support and carry the full responsibility for the content of this paper.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - In our previous work (J Chem Eng Data 2021, 66(3):1385–1398), a residual entropy scaling (RES) approach was developed to link viscosity to residual entropy [a thermodynamic property calculated with an equation of state (EoS)] using a simple polynomial equation for refrigerants. Here, we present an extension of this approach to a much wider range of fluids: all pure fluids and their mixtures whose reference EoS and experimental viscosity data are available. A total of 84 877 experimental points for 124 pure fluids and 351 mixtures are collected from 1846 references. The investigated pure fluids contain a wide variety of fluids from light gases with quantum effects at low temperatures to dense fluids and fluids with strong intermolecular association. More than 68.2 % (corresponding to the standard deviation) of the evaluated experimental data agree with the RES model within 3.2 % and 8.0 % for pure fluids and mixtures, respectively. Compared to the recommended models implemented in the REFPROP 10.0 software (the state-of-the-art for thermophysical property calculation), if the dilute gas viscosity is calculated in the same way, our RES approach yields similar statistical agreement with the experimental data while having a much simpler formulation and fewer parameters. To use our RES model, a software package written in Python is provided in the supporting information. Graphical Abstract: [Figure not available: see fulltext.].
AB - In our previous work (J Chem Eng Data 2021, 66(3):1385–1398), a residual entropy scaling (RES) approach was developed to link viscosity to residual entropy [a thermodynamic property calculated with an equation of state (EoS)] using a simple polynomial equation for refrigerants. Here, we present an extension of this approach to a much wider range of fluids: all pure fluids and their mixtures whose reference EoS and experimental viscosity data are available. A total of 84 877 experimental points for 124 pure fluids and 351 mixtures are collected from 1846 references. The investigated pure fluids contain a wide variety of fluids from light gases with quantum effects at low temperatures to dense fluids and fluids with strong intermolecular association. More than 68.2 % (corresponding to the standard deviation) of the evaluated experimental data agree with the RES model within 3.2 % and 8.0 % for pure fluids and mixtures, respectively. Compared to the recommended models implemented in the REFPROP 10.0 software (the state-of-the-art for thermophysical property calculation), if the dilute gas viscosity is calculated in the same way, our RES approach yields similar statistical agreement with the experimental data while having a much simpler formulation and fewer parameters. To use our RES model, a software package written in Python is provided in the supporting information. Graphical Abstract: [Figure not available: see fulltext.].
KW - Entropy scaling
KW - Mixture
KW - Multi-parameter Helmholtz equation of state
KW - Viscosity
UR - http://www.scopus.com/inward/record.url?scp=85139928054&partnerID=8YFLogxK
U2 - 10.1007/s10765-022-03096-9
DO - 10.1007/s10765-022-03096-9
M3 - Article
AN - SCOPUS:85139928054
SN - 0195-928X
VL - 43
JO - International Journal of Thermophysics
JF - International Journal of Thermophysics
IS - 12
M1 - 183
ER -