Virial Coefficients of Pure Gases
DOI: 10.1007/10693952_2
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Cited by 28 publications
(62 citation statements)
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“…If we assumed that all the water was vaporized and hence created pores inside the specimen, we could calculate the corresponding vapor volume from mass conservation. Similar to other gases, water vapor is not an ideal gas, and corrections need to be applied to the ideal gas law, as done here with Equation (3) [ 35 ]: where P is the pressure inside the nozzle; ρ is the molar density, which is correlated with both vapor mass and volume; R is the gas constant of 8.314 J/(K·mol); and T is the material temperature, which in principle shall be equal to the nozzle temperature of 280 °C (553 K) but in practice it could be lower considering thermal conduction takes time [ 36 ]. From our IR observations, the material temperature could have been 15 °C lower than nozzle temperature after coming out of the nozzle.…”
Section: Resultsmentioning
confidence: 99%
“…If we assumed that all the water was vaporized and hence created pores inside the specimen, we could calculate the corresponding vapor volume from mass conservation. Similar to other gases, water vapor is not an ideal gas, and corrections need to be applied to the ideal gas law, as done here with Equation (3) [ 35 ]: where P is the pressure inside the nozzle; ρ is the molar density, which is correlated with both vapor mass and volume; R is the gas constant of 8.314 J/(K·mol); and T is the material temperature, which in principle shall be equal to the nozzle temperature of 280 °C (553 K) but in practice it could be lower considering thermal conduction takes time [ 36 ]. From our IR observations, the material temperature could have been 15 °C lower than nozzle temperature after coming out of the nozzle.…”
Section: Resultsmentioning
confidence: 99%
“…The second virial coefficient B was calculated using equations I or II for any given temperature. The data was taken from a comprehensive reference book [ 102 ], which covers second virial coefficients for more than 250 compounds. Given the temperature dependence, the overall number of data points is more than 4500.…”
Section: Qspr Models Based On Simplex Descriptorsmentioning
confidence: 99%
“…To our knowledge, [ 78 ] is the first attempt at a QSPR model for this coefficient. Dymond et al [ 102 ] compilation was the source of the data for the 126 mixtures and 1211 values (each mixture selected had at least 4 values) of B 12 at different temperatures ranging from 200-600 K. The test set comprised of compounds with less than 4 data values for a total of 102 mixtures and 188 data points at different temperatures. Given the sole focus of B 12 on the heterogenous mixture values, the SiRMS descriptors for individual components were removed from the model.…”
Section: Qspr Models Based On Simplex Descriptorsmentioning
confidence: 99%
“… iii See Appendix A for a discussion on B ρ ; C ρ is based on a fit to the data of Dymond et al 15 over temperatures close to our range of interest. The value in the table is calculated at 302.919 K from: C ρ ( T ) = 1432 + 2.923 · ( T − 300) − 0.781 · ( T − 300) 2 .…”
Section: Figmentioning
confidence: 99%
“…3(a), where we have selected values from Dymond et al 15 in the range (290 < T < 310) K, which have stated uncertainties of 0.3 cm 3 /mol or less. (The uncertainties stated in Dymond et al are represented in Fig.…”
Section: Density Second Virial Bρmentioning
confidence: 99%