1975
DOI: 10.1002/cjce.5450530114
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Measurement of total pressures for ethylene — propane mixtures

Abstract: Isothermal P‐x data for the binary system ethylene‐propane were measured at four temperatures by means of a total pressure apparatus. Equilibrium vapor compositions were calculated with the supporting properties obtained from the Clausius Equation of state. In the calculation, the parameters of the Clausius Equation were considered to be temperature‐dependent. The validity of the apparatus and the proposed method of calculation was established by comparing satisfactorily phase equilibrium values obtained in th… Show more

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Cited by 21 publications
(8 citation statements)
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“…Compared to the literature data, our data does not scatter and yields smooth boiling and dew point curves. [11] (◯), from Mastera [12] (▽) and from Xiao and Liu [13] (△) at 100.0 K, and data from Hiza et al [14] ( ) at 99.9 K.…”
Section: Resultsmentioning
confidence: 99%
“…Compared to the literature data, our data does not scatter and yields smooth boiling and dew point curves. [11] (◯), from Mastera [12] (▽) and from Xiao and Liu [13] (△) at 100.0 K, and data from Hiza et al [14] ( ) at 99.9 K.…”
Section: Resultsmentioning
confidence: 99%
“…In more detail, the observation of Figure leads to the following considerations: the increased number of experimental data used to perform the optimization reduces the uncertainty region of the optimal parameters (see the red contour versus the black one), as anticipated in section ; the use of a more restrictive objective function, with respect to the least-squares objective function (eq ) obtained by multiplying it by 10 6 , increases the sensitivity of the optimal solution to the order of magnitude of the applied objective function (see the red/black circle versus the red/black cross); the application of MLM on the entire sample of 32 ( P , T , x , y ) data points leads to a confidence region of optimal parameters, which is as extended as the one resulting from the use of the least-squares objective function (eq ); however, the two regions do not overlap. Experimental uncertainties of ( P , T , x , y ) data points from refs and are reported in Appendix III in the Supporting Information. …”
Section: The Optimization Of the Pr+eos/a Res Eγ‑wilson Mixing Rules ...mentioning
confidence: 99%
“…the application of MLM on the entire sample of 32 ( P , T , x , y ) data points leads to a confidence region of optimal parameters, which is as extended as the one resulting from the use of the least-squares objective function (eq ); however, the two regions do not overlap. Experimental uncertainties of ( P , T , x , y ) data points from refs and are reported in Appendix III in the Supporting Information.…”
Section: The Optimization Of the Pr+eos/a Res Eγ‑wilson Mixing Rules ...mentioning
confidence: 99%
See 1 more Smart Citation
“…Wflson (1964) TP-4 (1974) Parrish and Him (1974) Parrish and Him (1974) TP-4 (1974) Stryjek et al (1972) Wilson ( TP-4 (1974) Elshayal and Lu (1975) Elshayal and Lu (1975) Elshayal and Lu (1975) Elshayal and Lu (1975) Sage and Lacey (1955) Sage and Lacey (1955) Sage and Lacey (1955) Sage and Lacey (1955) Sage and Lacey (1955) Besserer and Robinson (1973) Besserer and Robinson (1973) McKay et d. (1951) McKay et d. (1951) McKay et d. (1951) McKay et d.…”
mentioning
confidence: 99%