1999
DOI: 10.1002/(sici)1099-0488(19991101)37:21<3011::aid-polb11>3.0.co;2-v
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Hydrocarbon and fluorocarbon solubility and dilation in poly(dimethylsiloxane): Comparison of experimental data with predictions of the Sanchez-Lacombe equation of state
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Cited by 103 publications
(116 citation statements)
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“…This finding implies that the interaction energy between (higher) hydrocarbons and fluorocarbons is 10% weaker than that estimated from the geometric mean rule. This result is in good agreement with previous modeling reports of sorption in hydrocarbon-fluorocarbon gas-polymer systems in rubbery 31 as well as glassy polymers. 41 Modeling small molecule solution behavior of hydrocarbon-fluorocarbon mixtures has also revealed a similar deviation of the unlike molecular interaction energies from the geometric mean value, as indicated in the background section.…”
Section: Resultssupporting
confidence: 93%
“…This finding implies that the interaction energy between (higher) hydrocarbons and fluorocarbons is 10% weaker than that estimated from the geometric mean rule. This result is in good agreement with previous modeling reports of sorption in hydrocarbon-fluorocarbon gas-polymer systems in rubbery 31 as well as glassy polymers. 41 Modeling small molecule solution behavior of hydrocarbon-fluorocarbon mixtures has also revealed a similar deviation of the unlike molecular interaction energies from the geometric mean value, as indicated in the background section.…”
Section: Resultssupporting
confidence: 93%
“…Thus, the geometric mean approximation, with minor adjustments, is sufficient to provide a reasonable prediction of fluorocarbon solubility in this fluoropolymer. This finding agrees with previous observations of the general applicability of the geometric mean approximation to model gas sorption in chemically similar gas−polymer systems (i.e., fluorocarbon gas sorption in fluoropolymers and hydrocarbon gas sorption in hydrocarbon polymers). , …”
Section: Resultssupporting
confidence: 92%
“…In particular, every data point falls within the 95% confidence interval calculated for the best-fitting line. The agreement with literature results is also excellent; 10,37 as shown in Figure 9, literature data line up exactly on our regression result. The noise observed in the difference spectra (Figure 8) does not affect significantly the swelling data; it has been estimated, by an ad hoc Monte Carlo simulation, to be lower than 1%.…”
Section: Resultssupporting
confidence: 91%
“…A rapid screening of the data obtained for these products reveals that the solubility generally increases with the critical temperature ( T C ) of the gas solutes, which is indicative of the relative tendency of various gases to exist in the condensate state: H 2 (33 K) < N 2 (126.2 K) < CO (132.9 K) < O 2 (154.6 K) < CH 4 (190.5 K) < CO 2 (304.1 K) < C 2 H 2 (308.3 K) < C 2 H 4 (282.3 K) < C 2 H 6 (305.4 K) < C 3 H 6 (364.9 K) < C 3 H 8 (369.8 K). A similar trend was reported by De Angelis et al for the solubility of permanent gases and hydrocarbons in polymers in the absence of strong intermolecular forces between solute and polymer matter. It is also known, under such conditions, that the free volume per mole of a solvent that could be occupied by a gas solute will be proportional to the molar volume of the solvent and hence inversely proportional to the matrix density. , The effect of the density, which is a parameter taken into account in ASTM D 2779-92 23 for estimating gas solubilities in petroleum liquids, was investigated in this study by plotting in Figures −5 the individual
( y -axis) against the density of the liquids ( x -axis).…”
Section: Resultssupporting
confidence: 88%
