Liquid Density

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Laura Fedele - One of the best experts on this subject based on the ideXlab platform.

  • Compressed Liquid Density and Vapor Phase PvT Measurements of cis-1,2,3,3,3-Pentafluoroprop-1-ene (R1225ye(Z))
    Journal of Chemical & Engineering Data, 2015
    Co-Authors: J. Steven Brown, Laura Fedele, Sergio Bobbo, Giovanni Di Nicola, Gianluca Coccia
    Abstract:

    This paper reports 136 compressed Liquid Density measurements and 104 vapor phase PvT measurements of cis-1,2,3,3,3-pentafluoroprop-1-ene (R1225ye(Z)). The compressed Liquid Density data represent eight isotherms evenly spaced approximately from (283 to 353) K for pressures from close to saturation to 35 MPa, and the vapor phase PvT data represent six isochores for temperatures approximately from (263 to 368) K for pressures approximately from (135 to 777) kPa. The paper also presents a saturated Liquid Density correlation, a Tait correlation for the compressed Liquid Density data, and a Martin-Hou equation of state for the vapor phase PvT data.

  • Measurements and Correlations of cis-1,3,3,3-Tetrafluoroprop-1-ene (R1234ze(Z)) Subcooled Liquid Density and Vapor-Phase PvT
    International Journal of Thermophysics, 2014
    Co-Authors: Laura Fedele, Sergio Bobbo, J. Steven Brown, Giovanni Di Nicola, Mauro Scattolini
    Abstract:

    22 182 compressed Liquid Density data and 98 vapor-phase PvT data for cis -1,3,3,3-tetrafluoroprop-1-ene (R1234ze(Z)) are presented. The compressed Liquid Density data are for nine isotherms evenly spaced approximately from 283 K to 363 K for pressures from close to saturation to 35 MPa, and the vapor-phase PvT data are for seven isochores for temperatures approximately from 303 K to 375 K for pressures approximately from 82 kPa to 436 kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the compressed Liquid Density data, and a Martin–Hou equation of state for the vapor-phase PvT data are presented.

  • Subcooled Liquid Density Measurements And Pvt Measurements In The Vapor Phase For 3,3,3-Trifluoroprop-1-Ene (R1243zf)
    International Journal of Refrigeration-revue Internationale Du Froid, 2013
    Co-Authors: Giovanni Di Nicola, Laura Fedele, Sergio Bobbo, J. Steven Brown, Matteo Securo, Claudio Zilio
    Abstract:

    Abstract The fluorinated propene isomer R1243zf (3,3,3-trifluoroprop-1-ene, CF 3 CF CH 2 , CAS number 677-21-4) is a potential alternative refrigerant with short atmospheric lifetime, low-GWP, and low acute toxicity; however, because of its flammability it is being considered primarily as a component in blends. In this paper, 302 subcooled Liquid Density data and 101 vapor phase PvT data are presented. The subcooled Liquid Density data are measured for eight isotherms, evenly separated approximately from 283 K to 353 K, for pressures from close to saturation to 35 MPa and the vapor phase PvT data are measured for six isochores for temperatures approximately from 278 K to 368 K and for pressures approximately from 260 kPa to 912 kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou Equation of State for the vapor phase PvT data are presented.

  • Subcooled Liquid Density Measurements and PvT Measurements in the Vapor Phase for trans-1,3,3,3-Tetrafluoroprop-1-ene (R1234ze(E))
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: J. Steven Brown, Laura Fedele, Sergio Bobbo, Claudio Zilio, Giovanni Di Nicola, Fabio Polonara
    Abstract:

    Some 14 099 subcooled Liquid Density data and 160 vapor-phase PvT data for trans-1,3,3,3-tetrafluoroprop-1-ene (R1234ze(E)) are presented. The subcooled Liquid Density data are for eight isotherms evenly separated approximately from (283 to 353) K for pressures from close to saturation to 35 MPa, and the vapor-phase PvT data are for nine isochores for temperatures approximately from (243 to 373) K and for pressures approximately from (57 to 1024) kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou equation of state for the vapor phase PvT data are presented.

  • compressed Liquid Density measurements for 2 3 3 3 tetrafluoroprop 1 ene r1234yf
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: Laura Fedele, Steven J Brown, Laura Colla, Andrea Ferron, Sergio Bobbo, Claudio Zilio
    Abstract:

    A total of 13 796 compressed Liquid Density measurements for 2,3,3,3-tetrafluoroprop-1-ene (R1234yf) for eight isotherms evenly spaced from (283.15 to 353.15) K for pressures from near saturation to 35 MPa are presented. In addition, a saturated Liquid Density correlation and a Tait correlation are developed.

Claudio Zilio - One of the best experts on this subject based on the ideXlab platform.

  • Subcooled Liquid Density Measurements And Pvt Measurements In The Vapor Phase For 3,3,3-Trifluoroprop-1-Ene (R1243zf)
    International Journal of Refrigeration-revue Internationale Du Froid, 2013
    Co-Authors: Giovanni Di Nicola, Laura Fedele, Sergio Bobbo, J. Steven Brown, Matteo Securo, Claudio Zilio
    Abstract:

    Abstract The fluorinated propene isomer R1243zf (3,3,3-trifluoroprop-1-ene, CF 3 CF CH 2 , CAS number 677-21-4) is a potential alternative refrigerant with short atmospheric lifetime, low-GWP, and low acute toxicity; however, because of its flammability it is being considered primarily as a component in blends. In this paper, 302 subcooled Liquid Density data and 101 vapor phase PvT data are presented. The subcooled Liquid Density data are measured for eight isotherms, evenly separated approximately from 283 K to 353 K, for pressures from close to saturation to 35 MPa and the vapor phase PvT data are measured for six isochores for temperatures approximately from 278 K to 368 K and for pressures approximately from 260 kPa to 912 kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou Equation of State for the vapor phase PvT data are presented.

  • Subcooled Liquid Density Measurements and PvT Measurements in the Vapor Phase for trans-1,3,3,3-Tetrafluoroprop-1-ene (R1234ze(E))
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: J. Steven Brown, Laura Fedele, Sergio Bobbo, Claudio Zilio, Giovanni Di Nicola, Fabio Polonara
    Abstract:

    Some 14 099 subcooled Liquid Density data and 160 vapor-phase PvT data for trans-1,3,3,3-tetrafluoroprop-1-ene (R1234ze(E)) are presented. The subcooled Liquid Density data are for eight isotherms evenly separated approximately from (283 to 353) K for pressures from close to saturation to 35 MPa, and the vapor-phase PvT data are for nine isochores for temperatures approximately from (243 to 373) K and for pressures approximately from (57 to 1024) kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou equation of state for the vapor phase PvT data are presented.

  • compressed Liquid Density measurements for 2 3 3 3 tetrafluoroprop 1 ene r1234yf
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: Laura Fedele, Steven J Brown, Laura Colla, Andrea Ferron, Sergio Bobbo, Claudio Zilio
    Abstract:

    A total of 13 796 compressed Liquid Density measurements for 2,3,3,3-tetrafluoroprop-1-ene (R1234yf) for eight isotherms evenly spaced from (283.15 to 353.15) K for pressures from near saturation to 35 MPa are presented. In addition, a saturated Liquid Density correlation and a Tait correlation are developed.

Sergio Bobbo - One of the best experts on this subject based on the ideXlab platform.

  • Compressed Liquid Density and Vapor Phase PvT Measurements of cis-1,2,3,3,3-Pentafluoroprop-1-ene (R1225ye(Z))
    Journal of Chemical & Engineering Data, 2015
    Co-Authors: J. Steven Brown, Laura Fedele, Sergio Bobbo, Giovanni Di Nicola, Gianluca Coccia
    Abstract:

    This paper reports 136 compressed Liquid Density measurements and 104 vapor phase PvT measurements of cis-1,2,3,3,3-pentafluoroprop-1-ene (R1225ye(Z)). The compressed Liquid Density data represent eight isotherms evenly spaced approximately from (283 to 353) K for pressures from close to saturation to 35 MPa, and the vapor phase PvT data represent six isochores for temperatures approximately from (263 to 368) K for pressures approximately from (135 to 777) kPa. The paper also presents a saturated Liquid Density correlation, a Tait correlation for the compressed Liquid Density data, and a Martin-Hou equation of state for the vapor phase PvT data.

  • Measurements and Correlations of cis-1,3,3,3-Tetrafluoroprop-1-ene (R1234ze(Z)) Subcooled Liquid Density and Vapor-Phase PvT
    International Journal of Thermophysics, 2014
    Co-Authors: Laura Fedele, Sergio Bobbo, J. Steven Brown, Giovanni Di Nicola, Mauro Scattolini
    Abstract:

    22 182 compressed Liquid Density data and 98 vapor-phase PvT data for cis -1,3,3,3-tetrafluoroprop-1-ene (R1234ze(Z)) are presented. The compressed Liquid Density data are for nine isotherms evenly spaced approximately from 283 K to 363 K for pressures from close to saturation to 35 MPa, and the vapor-phase PvT data are for seven isochores for temperatures approximately from 303 K to 375 K for pressures approximately from 82 kPa to 436 kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the compressed Liquid Density data, and a Martin–Hou equation of state for the vapor-phase PvT data are presented.

  • Subcooled Liquid Density Measurements And Pvt Measurements In The Vapor Phase For 3,3,3-Trifluoroprop-1-Ene (R1243zf)
    International Journal of Refrigeration-revue Internationale Du Froid, 2013
    Co-Authors: Giovanni Di Nicola, Laura Fedele, Sergio Bobbo, J. Steven Brown, Matteo Securo, Claudio Zilio
    Abstract:

    Abstract The fluorinated propene isomer R1243zf (3,3,3-trifluoroprop-1-ene, CF 3 CF CH 2 , CAS number 677-21-4) is a potential alternative refrigerant with short atmospheric lifetime, low-GWP, and low acute toxicity; however, because of its flammability it is being considered primarily as a component in blends. In this paper, 302 subcooled Liquid Density data and 101 vapor phase PvT data are presented. The subcooled Liquid Density data are measured for eight isotherms, evenly separated approximately from 283 K to 353 K, for pressures from close to saturation to 35 MPa and the vapor phase PvT data are measured for six isochores for temperatures approximately from 278 K to 368 K and for pressures approximately from 260 kPa to 912 kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou Equation of State for the vapor phase PvT data are presented.

  • Subcooled Liquid Density Measurements and PvT Measurements in the Vapor Phase for trans-1,3,3,3-Tetrafluoroprop-1-ene (R1234ze(E))
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: J. Steven Brown, Laura Fedele, Sergio Bobbo, Claudio Zilio, Giovanni Di Nicola, Fabio Polonara
    Abstract:

    Some 14 099 subcooled Liquid Density data and 160 vapor-phase PvT data for trans-1,3,3,3-tetrafluoroprop-1-ene (R1234ze(E)) are presented. The subcooled Liquid Density data are for eight isotherms evenly separated approximately from (283 to 353) K for pressures from close to saturation to 35 MPa, and the vapor-phase PvT data are for nine isochores for temperatures approximately from (243 to 373) K and for pressures approximately from (57 to 1024) kPa. In addition, a saturated Liquid Density correlation, a Tait correlation for the subcooled Liquid Density data, and a Martin–Hou equation of state for the vapor phase PvT data are presented.

  • compressed Liquid Density measurements for 2 3 3 3 tetrafluoroprop 1 ene r1234yf
    Journal of Chemical & Engineering Data, 2012
    Co-Authors: Laura Fedele, Steven J Brown, Laura Colla, Andrea Ferron, Sergio Bobbo, Claudio Zilio
    Abstract:

    A total of 13 796 compressed Liquid Density measurements for 2,3,3,3-tetrafluoroprop-1-ene (R1234yf) for eight isotherms evenly spaced from (283.15 to 353.15) K for pressures from near saturation to 35 MPa are presented. In addition, a saturated Liquid Density correlation and a Tait correlation are developed.

Paolo Stringari - One of the best experts on this subject based on the ideXlab platform.

  • Liquid Density Measurements for the Propylene + 2-Propanol + Water System
    Journal of Chemical & Engineering Data, 2009
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon
    Abstract:

    Liquid densities for the propylene (1) + 2-propanol (2) + water (3) mixture have been determined at (300, 325, and 350) K from 10 MPa down to about the bubble pressures and for the molar fractions (x1 = 0.09; x2 = 0.37), (x1 = 0.18; x2 = 0.38), (x1 = 0.30; x2 = 0.50), (x1 = 0.39; x2 = 0.42), and (x1 = 0.61; x2 = 0.30) using a vibrating tube densimeter. The measured Liquid Density values have been correlated with a multilayer feedforward neural network (MLFN) function including Liquid densities values of the propylene + 2-propanol mixture, of the 2-propanol + water mixture, and of the pure components in the temperature range from (300 to 350) K and in the pressure range up to 10 MPa. The consistency of the ternary mixture measurements with those of the binary mixtures and with pure fluids data is very good. The MLFN model shows an accuracy of the same magnitude of the claimed experimental uncertainty for the experimental Density measurements.

  • Compressed and Saturated Liquid Densities for the 2-Propanol + Water System
    Journal of Chemical & Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon
    Abstract:

    Compressed Liquid densities for the 2-propanol (1) + water (2) mixture have been determined at (300, 325, and 350) K and x1 close to 0.25, 0.49, and 0.73 using a vibrating tube densimeter. Liquid densities have been measured from about atmospheric pressure up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. A model based on a multilayer feedforward neural network function combined with the saturated pressure equation of the pure fluids has been regressed on the available literature data for the bubble pressure. The correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range of the measured compressed Liquid densities and for compositions ranging from the pure 2-propanol to the pure water.

  • Liquid Density and Bubble Pressure Measurements for the Propylene + 2-Propanol System
    Journal of Chemical & Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon, Christophe Coquelet
    Abstract:

    Bubble pressures and Liquid densities for the propylene (1) + 2-propanol (2) mixture have been determined at (300, 325, and 350) K and x1 close to 0.20, 0.52, and 0.65 using a vibrating tube densimeter. Liquid densities have been measured from bubble pressures up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. Bubble pressures have been compared with a multilayer feedforward neural network function regressed on the available literature data showing a good consistency between the two. The multilayer feedforward neural network correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range and for compositions including the pure components. Excess molar volumes and bubble pressure predictions obtained by the neural network models have been compared with those from a Pe...

  • Liquid Density and bubble pressure measurements for the propylene + 2-propanol system
    Journal of Chemical and Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon, Christophe Coquelet
    Abstract:

    Bubble pressures and Liquid densities for the propylene (1) + 2-propanol (2) mixture have been determined at (300, 325, and 350) K and x 1 close to 0.20, 0.52, and 0.65 using a vibrating tube densimeter. Liquid densities have been measured from bubble pressures up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. Bubble pressures have been compared with a multilayer feedforward neural network function regressed on the available literature data showing a good consistency between the two. The multilayer feedforward neural network correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range and for compositions including the pure components. Excess molar volumes and bubble pressure predictions obtained by the neural network models have been compared with those from a Peng-Robinson equation of state with Wong-Sandler mixing rules to show the consistent behavior in the regions where data are lacking.

Dominique Richon - One of the best experts on this subject based on the ideXlab platform.

  • Liquid Density Measurements for the Propylene + 2-Propanol + Water System
    Journal of Chemical & Engineering Data, 2009
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon
    Abstract:

    Liquid densities for the propylene (1) + 2-propanol (2) + water (3) mixture have been determined at (300, 325, and 350) K from 10 MPa down to about the bubble pressures and for the molar fractions (x1 = 0.09; x2 = 0.37), (x1 = 0.18; x2 = 0.38), (x1 = 0.30; x2 = 0.50), (x1 = 0.39; x2 = 0.42), and (x1 = 0.61; x2 = 0.30) using a vibrating tube densimeter. The measured Liquid Density values have been correlated with a multilayer feedforward neural network (MLFN) function including Liquid densities values of the propylene + 2-propanol mixture, of the 2-propanol + water mixture, and of the pure components in the temperature range from (300 to 350) K and in the pressure range up to 10 MPa. The consistency of the ternary mixture measurements with those of the binary mixtures and with pure fluids data is very good. The MLFN model shows an accuracy of the same magnitude of the claimed experimental uncertainty for the experimental Density measurements.

  • Compressed and Saturated Liquid Densities for the 2-Propanol + Water System
    Journal of Chemical & Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon
    Abstract:

    Compressed Liquid densities for the 2-propanol (1) + water (2) mixture have been determined at (300, 325, and 350) K and x1 close to 0.25, 0.49, and 0.73 using a vibrating tube densimeter. Liquid densities have been measured from about atmospheric pressure up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. A model based on a multilayer feedforward neural network function combined with the saturated pressure equation of the pure fluids has been regressed on the available literature data for the bubble pressure. The correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range of the measured compressed Liquid densities and for compositions ranging from the pure 2-propanol to the pure water.

  • Liquid Density and Bubble Pressure Measurements for the Propylene + 2-Propanol System
    Journal of Chemical & Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon, Christophe Coquelet
    Abstract:

    Bubble pressures and Liquid densities for the propylene (1) + 2-propanol (2) mixture have been determined at (300, 325, and 350) K and x1 close to 0.20, 0.52, and 0.65 using a vibrating tube densimeter. Liquid densities have been measured from bubble pressures up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. Bubble pressures have been compared with a multilayer feedforward neural network function regressed on the available literature data showing a good consistency between the two. The multilayer feedforward neural network correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range and for compositions including the pure components. Excess molar volumes and bubble pressure predictions obtained by the neural network models have been compared with those from a Pe...

  • Liquid Density and bubble pressure measurements for the propylene + 2-propanol system
    Journal of Chemical and Engineering Data, 2008
    Co-Authors: Paolo Stringari, Giancarlo Scalabrin, Dominique Richon, Christophe Coquelet
    Abstract:

    Bubble pressures and Liquid densities for the propylene (1) + 2-propanol (2) mixture have been determined at (300, 325, and 350) K and x 1 close to 0.20, 0.52, and 0.65 using a vibrating tube densimeter. Liquid densities have been measured from bubble pressures up to 10 MPa and correlated with a multilayer feedforward neural network. The composition dependence of the excess molar volume has been evaluated in the temperature and pressure range of the experimental data. Bubble pressures have been compared with a multilayer feedforward neural network function regressed on the available literature data showing a good consistency between the two. The multilayer feedforward neural network correlations for Liquid Density and bubble pressure have been used to generate the saturated Liquid Density surface in the whole temperature range and for compositions including the pure components. Excess molar volumes and bubble pressure predictions obtained by the neural network models have been compared with those from a Peng-Robinson equation of state with Wong-Sandler mixing rules to show the consistent behavior in the regions where data are lacking.

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