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Shimawaki, Satoshi; Fujii, K.; Higashi, Yukihiro

doi:10.1023/a:1015407205188

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…Figure shows the pressure–composition diagram and relative volatility for the experimental data of this work and from the literature, the calculated data of the PRSV2 + WS + NRTL model and Helmholtz EoS, and the GEMC simulation results for R32 + R134a, respectively. The VLE data from this work, Hu et al, Chuang and Kim, Lee et al, and Shimawaki et al show excellent agreement at the studied temperature. The data by Kato et al overestimate the vapor-phase mole fraction at 323.15 K. The Helmholtz Equation of state and the PRSV2 + WS + NRTL model can represent the experimental data very well and show the strong zeotropic behavior.…”

Section: Discussionsupporting

confidence: 76%

“… a The experimental data were obtained from this work and literatures (R32 + R134a, − R134a + R1234ze(E), , and R32 + R1234ze(E) , ). b AAD( p ), % = (100/ N )∑ i =1 N |( p exp, i – p cal, i )/ p exp, i |. c AAD( y 1 ) = (1/ N )∑ i =1 N | y 1,exp, i – y 1,cal, i |. …”

Section: Results and Correlationsmentioning

confidence: 99%

“… a The experimental data were obtained from this work and literatures (R32 + R134a, − R134a + R1234ze(E), , and R32 + R1234ze(E) , ). …”

Section: Results and Correlationsmentioning

confidence: 99%

“…Vapor–liquid equilibrium data for R32(1) + R134a(2) from 263.15 to 323.15 K (top) and relative volatility at 293.15 K (bottom). Red box open, this work; red circle open, Hu et al; ◇, Chung and Kim; △, Lee et al; ◁, Shimawaki et al; ▷, Kato and Nishiumi; blue triangle down open, GEMC simulation; --, Helmholtz EoS; and red en dash, PRSV2+WS+NRTL model.…”

Section: Discussionmentioning

confidence: 99%

“…Evaluating the refrigeration performance requires detailed knowledge of the mixture’s thermophysical properties, especially the vapor–liquid phase behavior. A significant number of experimental studies reported experimental vapor–liquid equilibrium (VLE) data for the R32 + R134a binary mixture, − which can be used as validation for the accuracy of the apparatus newly developed for this work. For R32/R134a + R1234ze(E), Kou et al .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Phase Equilibria of Difluoromethane (R32), 1,1,1,2-Tetrafluoroethane (R134a), and trans-1,3,3,3-Tetrafluoro-1-propene (R1234ze(E)) Probed by Experimental Measurements and Monte Carlo Simulations

Yang

Siepmann

2020

Ind. Eng. Chem. Res.

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The combination of difluoromethane (R32), 1,1,1,2-tetrafluoroethane (R134a), and trans-1,3,3,3-tetrafluoro-1-propene (R1234ze(E)) has been recently proposed as a potential substitute (R456A) for hydrofluorocarbon working fluids. For the design and process simulation of refrigeration systems using refrigerant mixtures, precise knowledge of their thermophysical properties, especially vapor–liquid equilibrium (VLE), is crucial. To extend the experimental temperature range, a liquid-recirculation analytical apparatus, classified as AnTLcirCapValVis, was redesigned and VLE data for the binary mixtures of R32 + R134a, R32 + R1234ze(E), R134a + R1234ze(E), and the ternary system of R32 + R134a + R1234ze(E) were measured over the temperature range from 263.15 to 323.15 K. The standard uncertainties of the temperature, pressure, and the mole fractions of liquid and vapor phases are estimated to be within 10 mK, 0.5 kPa, and 0.005, respectively. The Peng–Robinson–Stryjek–Vera–Version-2 (PRSV2) equation of state combined with the Wong–Sandler (WS) mixing rule and the nonrandom two-liquid activity coefficient model (NRTL) was used to fit the mixing parameters of the binary data from this work and prior studies and to predict the ternary VLE properties. In addition, Gibbs ensemble Monte Carlo simulations with an all-atom force field were carried out to determine VLE properties and to characterize the microscopic structure of these mixtures. Good agreement is found between experiments, correlations, and simulations, which attests to the predictive capabilities of the PRSV2 + WS + NRTL model and molecular simulations.

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