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Unified mathematical model for linear and nonlinear viscoelastic predictions of linear monodisperse and polydisperse and branched polymers

Posted on:2011-06-10Degree:Ph.DType:Dissertation
University:Illinois Institute of TechnologyCandidate:Khaliullin, Renat NFull Text:PDF
GTID:1440390002465667Subject:Chemistry
Abstract/Summary:
We present an application of a single-chain mean-field model to entangled linear blends and star branched systems. Slip-links instead of tubes are employed. The entanglements on a chain are destroyed by two coupled relaxation processes: relaxation of the chain itself, called sliding dynamics; and relaxation of the environment, called constraint dynamics. The constraint dynamics are implemented by destruction and creation of the entanglements in the middle of the chain in a way statistically self consistent with sliding dynamics. In contrast to previous tube models, Rouse dynamics is completely avoided. The new implementation of constraint dynamics shows good agreement with the algorithm of Doi and Takimoto, which couples the entanglements in a simulation ensemble. However, in this implementation, coupling is avoided. Previous research with tube models showed that constraint dynamics is an important process in prediction of polydisperse and branched chains. However, the implementation of constraint dynamics in tube models is different for linear and branched chains. The slip-link model shows no need for modification of constraint dynamics for bidisperse linear and branched chains. Moreover, our slip-link model requires a single fitting parameter tauK that depends on the temperature of the melt, but not on chain length. The parameter can be fixed from a single fit to linear viscoelastic data. In addition, for branched polymers the branch point movements are determined by the free energy, so that its position is allowed to fluctuation, and even slide through the slip-links. The resulting model exhibits primitive-path fluctuations and chain stretching, so could be applied to flow and generalized to more complicated branches or cross-linked networks without significant modifications.
Keywords/Search Tags:Branched, Linear, Model, Chain, Constraint dynamics
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