1985
DOI: 10.1002/pol.1985.180230506
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Effect of polydispersity on the cloud‐point curves of polymer mixtures

Abstract: A method is presented for the calculation of cloud‐point curves of polymer–polymer mixtures when the polymers involved are polydisperse. The method is based on the Flory–Huggins free energy of mixing with a concentration‐independent χ parameter. Numerical results are given for cases in which the molecular weight distributions are represented by the Schulz–Flory type. When the two polymers have similar average molecular weights and polydispersities, the cloud‐point curves become flatter as the polydispersity in… Show more

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Cited by 19 publications
(9 citation statements)
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“…This should affect at least the binodal. Calculations in ref 31 for example (which assumed a concentration independent χ-parameter), showed a general broadening of the binodal upon increase in polydispersity, and further, skewing of the boundary was observed toward higher mass fractions of the more polydisperse component (which in the present case, would be the PVME).…”
Section: Resultsmentioning
confidence: 88%
“…This should affect at least the binodal. Calculations in ref 31 for example (which assumed a concentration independent χ-parameter), showed a general broadening of the binodal upon increase in polydispersity, and further, skewing of the boundary was observed toward higher mass fractions of the more polydisperse component (which in the present case, would be the PVME).…”
Section: Resultsmentioning
confidence: 88%
“…Despite the deviation in the UCST these results demonstrate the applicability of the presented method to estimate phase diagrams of PEPs using the data provided by Fedors. To this day the deviation in the higher temperature range above 130 °C is not yet fully understood, but we assume that molecular weight distribution effects and composition‐dependency of the interaction parameter could play a crucial role.…”
Section: Resultsmentioning
confidence: 99%
“…Flory–Huggins (FH) theory and the concept of solubility parameters (SPs) were applied to predict phase equilibria. For the sake of simplicity and applicability, a straightforward approach excluding sophisticated mathematical models (e.g., composition‐dependent interaction parameters or polydispersity effects) was chosen. The critical factor in the estimation of phase diagrams via FH theory is the application of suitable binary interaction parameters (BIP).…”
Section: Introductionmentioning
confidence: 99%
“…The critical point of miscibility for a blend is defined by critical interaction parameter, χ c , and critical volume fraction, ϕ c , which are given by the following equations,13–15 which can be applied to blend systems of homopolymer/homopolymer, homopolymer/random copolymer, or random copolymer/random copolymer with different compositions.…”
Section: Resultsmentioning
confidence: 99%