A Residual Entropy Scaling Approach for Viscosity of Refrigerants, other Fluids and their Mixtures
Xiaoxian Yang, Xiong Xiao, Monika Thol, Marcus Richter, Ian Bell
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 time the 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.
6th International Congress of Refrigeration | August 21st-25th, 2023 | Paris, France
, Xiao, X.
, Thol, M.
, Richter, M.
and Bell, I.
A Residual Entropy Scaling Approach for Viscosity of Refrigerants, other Fluids and their Mixtures, 6th International Congress of Refrigeration | August 21st-25th, 2023 | Paris, France, Paris, FR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936385
(Accessed December 11, 2023)