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Density and viscosity of CO2 + ethyl acetate binary systems from 308.15 to 338.15 K and 15 to 45 MPa
Fluid Phase Equilibria ( IF 2.8 ) Pub Date : 2021-02-27 , DOI: 10.1016/j.fluid.2021.112988
Teng Zhu , Houjian Gong , Mingzhe Dong

Combined with a high-pressure vibrating-tube densimeter and capillary viscometer, the density and viscosity of CO2(1)+ethyl acetate(2) binary systems with x2 = 0.000, 0.036, 0.075, 0.117, 0.163, and 1.000 were measured under conditions of 308.15–338.15 K and 15–45 MPa. In addition, the volumes of mixing (ΔVm) and viscosity deviation (Δη) were also calculated. The results illustrate that the density and viscosity of all systems increased with decreasing temperature and increasing pressure. The viscosity of the binary systems increased with increasing ethyl acetate concentration, and the density reached a maximum point under high pressure conditions (40 and 45 MPa). Moreover, ΔVm was negative and found to be reduced with a temperature decrease and pressure increase. Δη was positive except for pressures at 15 MPa, and these were found to be improved when increasing the temperature and pressure. The PC-SAFT equation of state and the Toscani-Szwarc model were applied to predict and correlate the density of the systems. For viscosity, different types of models were used. The Chung-Lee-Starling model and TRAPP model were introduced to predict pure systems, the Song mixing rule was used for mixed system viscosity correlation, and the Baylaucq equation was applied for unitary and binary system viscosity correlation. Four types of statistical values (AAD, bias, SDV, and RMS) were used to evaluate these models for each system.



中文翻译:

CO 2  +乙酸乙酯二元体系的密度和粘度为308.15至338.15 K和15至45 MPa

结合高压振动管密度仪和毛细管粘度计,测量了x 2  = 0.000、0.036、0.075、0.117、0.163和1.000的CO 2(1)+乙酸乙酯(2)二元体系的密度和粘度。在308.15–338.15 K和15–45 MPa的条件下。此外,混合的体积(ΔV)和粘度偏差(Δ η也计算)。结果表明,随着温度的降低和压力的增加,所有体系的密度和粘度均增加。二元体系的粘度随着乙酸乙酯浓度的增加而增加,并且在高压条件下(40和45 MPa),密度达到最大值。此外,ΔV为负值,发现随着温度降低和压力升高而降低。Δ η是除了在15MPa的压力正,并且这些被发现增加的温度和压力时得到改善。应用PC-SAFT状态方程和Toscani-Szwarc模型来预测和关联系统的密度。对于粘度,使用了不同类型的模型。引入了Chung-Lee-Starling模型和TRAPP模型来预测纯系统,将Song混合规则用于混合系统的粘度关联,并将Baylaucq方程用于一元和二元系统的粘度关联。四种类型的统计值(AAD,偏差,SDV和RMS)用于评估每个系统的这些模型。

更新日期:2021-03-10
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