Modeling Surface Tension of (R32+R1234yf), (R134a+R1234yf), (R32+R1234ze(E)), and (R134a+R1234ze (E)) Mixtures: The Effect of Equation of State and Influence Parameter on Estimations of the Density Linear and Non-linear Gradient Theory
摘要
The combinations of the linear and non-linear gradient theory with Cubic Plus Association (CPA) and Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) equation of state (EoS) were used to estimate the surface tension of the (R32+R1234yf), (R134a+R1234yf), (R32+R1234ze(E)), and (R134a+R1234ze(E)) systems. Three EoSs of CPA, PC-SAFT, and PCP-SAFT, and two correlations of the influence parameters were applied to each binary mixture. The results of the present study showed that the application of hydrogen bonding in the CPA and dipole–dipole interactions in the PC-SAFT (PCP-SAFT) leads to precise calculations of the surface tension for the applied refrigerant mixtures. The lowest and highest average absolute deviation percentages for surface tension estimation were 2.28 and 19.48, respectively. The surface-layer density profiles showed that the density profiles of all components are linear across the interface, so the central hypothesis of the linear gradient theory is acceptable for the applied mixtures.