Measurement of thermal conductivity and viscosity of cis-1-chloro-2,3,3,3-tetrafluoropropene (R-1224yd(Z))

Alam, Jahangir; Yamaguchi, Kotaro; Hori, Yoshiya; Kariya, Keishi; Miyara, Akio

doi:10.1016/j.ijrefrig.2019.05.033

Cited by 31 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the one hand, the increase of the pressure leads to a compression of the liquid phase, resulting in a viscosity increase of around (10 to 15)% per 10 MPa far away from the critical point. This behavior for the compressed liquid viscosity of pure fluids has been reported in the literature for ILs including those studied in this work [71][72][73][74][75], but also for various non-electrolytic liquids [76][77][78]. On the other hand, the dissolved H2 has a plasticizing effect.…”

Section: H2 Solubility In Ilssupporting

confidence: 82%

Influence of Molecular Hydrogen on Bulk and Interfacial Properties of Three Imidazolium-Based Ionic Liquids by Experiments and Molecular Dynamics Simulations

Zhai,

Hantal,

Cherian

et al. 2024

Preprint

View full text Add to dashboard Cite

Despite the presence of molecular hydrogen (H2) in various technical applications involving ionic liquids (ILs), its effect on the bulk and interfacial properties of ILs is poorly understood. The present study investigates the influence of dissolved H2 on the viscosity, surface tension, and phase composition of three imidazolium-based ILs by experiments and Molecular Dynamics (MD) simulations between (303 and 393) K from (0.1 to 31) MPa. The surface light scattering and pendant-drop experiments showed for all three ILs that the saturated liquid viscosity does not significantly change with increasing H2 pressure, while the surface tension decreases about 5% at 8 MPa. The MD simulations could be used to clarify microscopic origins for the behavior of the macroscopic properties. They revealed not only a compensation of compression and solvation effects due to hydrostatic pressure and dissolved H2 on the viscosity, but also a weak enrichment of H2 at the IL-gas interfaces.

show abstract

Section: H2 Solubility In Ilssupporting

confidence: 82%

Influence of Molecular Hydrogen on Bulk and Interfacial Properties of Three Imidazolium-Based Ionic Liquids by Experiments and Molecular Dynamics Simulations

Zhai,

Hantal,

Cherian

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…A total of 15,122 experimental values of the pure fluids were available from NIST ThermoData Engine (TDE) database version 10 and the latest publications. − For these pure fluids, the TDE database contains more than 400 literature sources, details of which are provided in the Supporting Information. The number of the literature sources for each pure fluid are listed in Table , varying from 1 for CF 3 I to 111 for n -hexane.…”

Section: Resultsmentioning

confidence: 99%

Entropy Scaling of Viscosity—III: Application to Refrigerants and Their Mixtures

et al. 2021

View full text Add to dashboard Cite

The residual entropy scaling of viscosity was applied to pure refrigerants, including natural refrigerants, hydrofluoroolefins, hydrochlorofluoroolefins, perfluorocarbons, hydrofluorocarbons, chlorofluorocarbons, and hydrochlorofluorocarbons and their mixtures. Experimental temperature, pressure, and viscosity data of 39 pure refrigerants, including more than 15,000 experimental data values from more than 400 literature sources, were used to build a univariate correlation function between the reduced residual viscosity and the dimensionless residual entropy. The correlation function contains only four fitted parameters and a fluid-specific scaling factor. Approximately, 80.0% of the experimental data are predicted within 5.0% when the fluid-specific fitted parameters are used. About 80.0% of the experimental data collapse onto one single curve within 7.9% when the global fitted parameters and the fluid-specific scaling factor were adopted for the correlation function. The correlation function is able to predict mixture viscosity without any additional empirical parameters. Approximately, 80.0% of the experimental data of 27 binary or multi-component mixtures composed by the investigated pure components, encompassing 2890 experimental values from more than 20 literature sources, agree with the correlation function within 7.9%, which is as good as the comparison for pure fluids. The commonly used extended corresponding states model has as many as four more parameters for each pair of components and has been optimized for some of the binaries; therefore, it generally yields better agreement than the proposed correlation function for binary mixtures but similar performance for multi-component mixtures.

show abstract

“…In total, 38602 experimental ( T , p , and λ) values of the pure fluids and 7621 experimental ( T , p , λ, and x ) values of the mixtures were collected from the NIST ThermoData Engine (TDE) database version 10 as well as from other publications. − These experimental data were obtained from more than 300 sources for pure fluids and more than 30 sources for mixtures, whose detailed citations are provided in the Supporting Information. The number of literature sources for each pure fluid and each mixture is listed in Tables and , respectively.…”

Section: Resultsmentioning

confidence: 99%

Entropy Scaling of Thermal Conductivity: Application to Refrigerants and Their Mixtures

Yang

Kim

May

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Residual entropy scaling (RES) of thermal conductivity was applied to pure refrigerants, including natural and halogenated refrigerants, and their mixtures. The reference equations of state and the mixture models implemented in the REFPROP software package were adopted to calculate the residual entropy, and the critical enhancement of thermal conductivity was taken into account with the RES approach for the first time. Experimental data of 39 pure fluids with more than 38,000 data points and of 31 mixtures with more than 7600 points were collected and analyzed. More than 95.4% of the data (within two standard deviations of the mean) of pure fluids collapse into a global dimensionless residual thermal conductivity versus scaled dimensionless residual entropy curve within 11.1% and those of mixtures are within 8.3%. This smooth, monotonically increasing curve was correlated with a polynomial function containing only four fitted parameters and one fluid-specific scaling factor. Each pure fluid has its individual scaling factor, and a simple mole-fraction-weighted mixing rule was applied for mixtures. The correlation function provides a reliable thermal conductivity prediction of pure fluids and, without any additional parameters, of mixtures. The proposed model yields a similar level of statistical agreement with the experimental data as the extended corresponding states model, which is the current state-of-the-art and has as many as four more parameters for each pair of components.

show abstract

Measurement of thermal conductivity and viscosity of cis-1-chloro-2,3,3,3-tetrafluoropropene (R-1224yd(Z))

Cited by 31 publications

References 6 publications

Influence of Molecular Hydrogen on Bulk and Interfacial Properties of Three Imidazolium-Based Ionic Liquids by Experiments and Molecular Dynamics Simulations

Influence of Molecular Hydrogen on Bulk and Interfacial Properties of Three Imidazolium-Based Ionic Liquids by Experiments and Molecular Dynamics Simulations

Entropy Scaling of Viscosity—III: Application to Refrigerants and Their Mixtures

Entropy Scaling of Thermal Conductivity: Application to Refrigerants and Their Mixtures

Contact Info

Product

Resources

About