2006
DOI: 10.1016/j.fluid.2005.12.030
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An approach to expediting phase equilibrium calculations for polydisperse polymers

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Cited by 9 publications
(18 citation statements)
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“…This result is consistent with previous findings 39,41,46,47 that the logarithm of the fugacity coefficient of a chain molecule in a given phase is a linear function of the molecular weight of the chain for fixed T, P, solvent composition, and density moments.…”
Section: ͑28͒supporting
confidence: 93%
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“…This result is consistent with previous findings 39,41,46,47 that the logarithm of the fugacity coefficient of a chain molecule in a given phase is a linear function of the molecular weight of the chain for fixed T, P, solvent composition, and density moments.…”
Section: ͑28͒supporting
confidence: 93%
“…Reliable numerical techniques have recently been proposed for the calculation of the phase equilibria in these systems. 47,48 Complex phase behavior is often found in such polydisperse systems, including regions where three or more fluid phases coexist. Koningsveld and co-workers 28,49 have studied polydispersity in polymer systems by looking at ternary mixtures where the polymer is represented as a bidisperse system ͑two chain molecules͒.…”
Section: Introductionmentioning
confidence: 99%
“…The technique is complementary to algorithms [1,2,7,8] based on the reformulation of phase equilibria problems since it can be applied to the reformulated equations in much the same way as it has been applied in the original equations. In both cases, the main effect is to improve the reliability of the computation starting from poor initial guesses.…”
Section: Discussionmentioning
confidence: 99%
“…More recently, Behme et al [7] have shown that this approach is generally applicable to any equation of state which models the pseudo-components as collections of different numbers of identical segments interacting with the same energy. An alternative derivation has been presented by Heidemann et al [8] who also described a Newton-Raphson method for the solution of the nonlinear equations.…”
Section: Introductionmentioning
confidence: 99%
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