TY - JOUR
T1 - Experimental measurement and theoretical modeling of liquid density and viscosity for Low-GWP azeotropic refrigerant R516A
AU - Shen, Jun
AU - Huang, Qilu
AU - Ouyang, Hongsheng
AU - Xu, Jiao
AU - Xu, Ming
AU - Cui, Junwei
AU - Zhu, Chenyang
AU - Yang, Tao
N1 - Publisher Copyright:
© 2026 Elsevier Ltd and IIR.
PY - 2026/11
Y1 - 2026/11
N2 - Under the Kigali Amendment, which promotes the phase-down of refrigerants with high global warming potential (GWP), the low-GWP azeotropic mixture R516A has been considered a promising alternative to R134a. However, experimental data on its fundamental thermophysical properties remain limited. In this work, the liquid density and viscosity of R516A were systematically measured using a vibrating-wire viscometer-densimeter over the temperature range of 243.15∼363.15 K and at pressures up to 12 MPa. Treating R516A as a pseudo-pure fluid, the Tait equation and perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state were used to correlate and predict the liquid density, while the Vogel–Fulcher–Tammann (VFT) equation, extended hard-sphere (EHS) model, residual entropy scaling (RES) model, and artificial neural network (ANN) model were evaluated for viscosity prediction. The results show that the Tait equation provides an accurate representation of the liquid density, with an average absolute relative deviation (AARD) of 0.09%. For viscosity, the EHS model gives the best performance, with an AARD of 0.71%, followed by the RES model and VFT equation. In contrast, the ANN model exhibits a clear systematic deviation under the current dataset and model settings. The high-accuracy experimental data enrich the thermophysical property database of R516A and provide reliable input for property model development and the optimization of R516A-based refrigeration and heat pump systems.
AB - Under the Kigali Amendment, which promotes the phase-down of refrigerants with high global warming potential (GWP), the low-GWP azeotropic mixture R516A has been considered a promising alternative to R134a. However, experimental data on its fundamental thermophysical properties remain limited. In this work, the liquid density and viscosity of R516A were systematically measured using a vibrating-wire viscometer-densimeter over the temperature range of 243.15∼363.15 K and at pressures up to 12 MPa. Treating R516A as a pseudo-pure fluid, the Tait equation and perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state were used to correlate and predict the liquid density, while the Vogel–Fulcher–Tammann (VFT) equation, extended hard-sphere (EHS) model, residual entropy scaling (RES) model, and artificial neural network (ANN) model were evaluated for viscosity prediction. The results show that the Tait equation provides an accurate representation of the liquid density, with an average absolute relative deviation (AARD) of 0.09%. For viscosity, the EHS model gives the best performance, with an AARD of 0.71%, followed by the RES model and VFT equation. In contrast, the ANN model exhibits a clear systematic deviation under the current dataset and model settings. The high-accuracy experimental data enrich the thermophysical property database of R516A and provide reliable input for property model development and the optimization of R516A-based refrigeration and heat pump systems.
KW - Azeotropic refrigerant
KW - Density
KW - R516A
KW - Transport property model
KW - Vibrating-wire method
UR - https://www.scopus.com/pages/publications/105048092550
U2 - 10.1016/j.ijrefrig.2026.107099
DO - 10.1016/j.ijrefrig.2026.107099
M3 - Article
AN - SCOPUS:105048092550
SN - 0140-7007
VL - 191
JO - International Journal of Refrigeration
JF - International Journal of Refrigeration
M1 - 107099
ER -