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Miscibility in Binary Polymer Blends: Correlation and Prediction

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dc.contributor.author Voutsas, EC en
dc.contributor.author Pappa, GD en
dc.contributor.author Boukouvalas, CJ en
dc.contributor.author Magoulas, K en
dc.contributor.author Tassios, DP en
dc.date.accessioned 2014-03-01T01:21:03Z
dc.date.available 2014-03-01T01:21:03Z
dc.date.issued 2004 en
dc.identifier.issn 0888-5885 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16051
dc.subject Polymer Blend en
dc.subject.classification Engineering, Chemical en
dc.subject.other Correlation methods en
dc.subject.other Entropy en
dc.subject.other Equations of state en
dc.subject.other Molecular weight en
dc.subject.other Polystyrenes en
dc.subject.other Pressure effects en
dc.subject.other Solubility en
dc.subject.other Critical solution temperature (CST) en
dc.subject.other Interaction parameters (IP) en
dc.subject.other Polymer blends en
dc.subject.other poly(pentyl methacrylate) en
dc.subject.other polymer en
dc.subject.other polystyrene en
dc.subject.other unclassified drug en
dc.subject.other binary mixture en
dc.subject.other miscibility en
dc.subject.other model en
dc.subject.other polymer en
dc.subject.other prediction en
dc.subject.other article en
dc.subject.other correlation function en
dc.subject.other miscibility en
dc.subject.other molecular weight en
dc.subject.other polymerization en
dc.subject.other prediction en
dc.subject.other reaction analysis en
dc.subject.other temperature dependence en
dc.title Miscibility in Binary Polymer Blends: Correlation and Prediction en
heal.type journalArticle en
heal.identifier.primary 10.1021/ie0306269 en
heal.identifier.secondary http://dx.doi.org/10.1021/ie0306269 en
heal.language English en
heal.publicationDate 2004 en
heal.abstract Correlation and prediction of miscibility in binary blends of homopolymers is investigated using an activity coefficient model, the entropic free-volume/UNIFAC (EFV/UNIFAC), and two equations of state: the Peng-Robinson (PR) and the Sanchez-Lacombe (SL) ones. Satisfactory correlation results are obtained with all models but their quality depends on whether T-dependent or T-independent interaction parameters (IPs) are used. Satisfactory prediction of the polymers molecular weight (MW) effect of blend miscibility is possible only with the EFV/TJNIFAC and SL models, while the latter predicts successfully the MW effect in the single available in the literature case for homopolymers, the blend poly(n-pentyl methacrylate)/polystyrene, where UCST and LCST as well as hourglass behavior is observed. The SL model provides also satisfactory prediction of the pressure effect on the critical solution temperature (CST) but less so on the corresponding composition. It is, thus, the most successful of the three models considered here. Finally, an empirical scheme for the prediction of UCST using the PR EoS is presented. en
heal.publisher AMER CHEMICAL SOC en
heal.journalName Industrial and Engineering Chemistry Research en
dc.identifier.doi 10.1021/ie0306269 en
dc.identifier.isi ISI:000189320100020 en
dc.identifier.volume 43 en
dc.identifier.issue 5 en
dc.identifier.spage 1312 en
dc.identifier.epage 1321 en


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