Yang, X.; Xiao, X.; Thol, M.; Bell, I. H.; Richter, M.
A residual entropy scaling approach for viscosity of refrigerants, other fluids and their mixtures
Proceedings of ICR2023- 26th International Congress of Refrigeration –https://doi.org/10.18462/iir.icr.2023.0516
Kurzfassung
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 using a simple polynomial equation for refrigerants. The present study extends the RES approach to other fluids and their mixtures with refrigerants. More than 68.2% (one standard deviation) of the well-selected experimental data agree with the RES model within 3.2% and 8.0% for 124 pure fluids and their mixtures, respectively. With advantageously many fewer parameters, the RES approach yields similar statistical agreement with the experimental data as the best-selected models implemented in the NIST REFPROP database, the current state-of-the-art for thermophysical property calculations. The present work is the basis for developing a RES approach for mixtures of refrigerants with lubricants relevant to compressor design. This new viscosity model will be implemented in an open source software package.
Schlagwörter: Entropy Scaling, Mixture, Multi-Parameter Equation of State, Refrigerant, Thermophysical Property Modelling, Viscosity