شماره ركورد كنفرانس :
4518
عنوان مقاله :
A New Local CompositionModel for Phase Equilibrium Calculation of Binary Polymer Solutions
Author/Authors :
Ali Haghtalab Department of Chemical Engineering, Tarbiat Modares University, Tehran, Iran , Abolfazl Shojaeian Department of Chemical Engineering, Tarbiat Modares University, Tehran, Iran , Elham Ebrahimiaqda Department of Chemical Engineering, Tarbiat Modares University, Tehran, Iran
كليدواژه :
Polymer solution , Segmental-Wilson-NRF , lory-Huggins , local composition model , Vapor-liquid equilibrium
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
The new local composition model, Segmental-Wilson-NRF, based on the volume fraction is
developed and a new excess Gibbs energy function for description of the binary polymer-solvent
systems is obtained. This model for non-polymeric systems reduces to N-Wilson-NRF model. The
activity coefficient of the new model consists of two parts, combinatorial and residual terms. In
this work the S-Wilson-NRF are used for residual term and Flory-Huggins equations are applied
for combinatorial term. The models with one temperature depended adjustable energy parameters
are applied to correlate and predict the activity of solvent for 50 binary polymer solutions at
various number-average molar mass of polymer and temperatures. In this work, the two different
approaches are used for optimization of the solvent and segmental parameters. In the first
approach, the two parameters are correlated for each binary polymer systems at the different
conditions, however in the other approach we assume that the solvent and segmental interaction
parameters are the same for the same binary polymer systems but they have the different numberaverage
molar mass. Thus, using a temperature dependent relation for each parameter, only the
two adjustable parameters for this group of systems are correlated. Using the first and second
approaches, the overall root of mean square deviation (RMSD) are 0.018 and 0.037, respectively.
The results show that the new model with the two different approaches is in good agreement with
experimental data.