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Self-assembled micellar nanoparticles of a novel amphiphilic cholesteryl-poly(l-lactic acid)-b-poly(poly(ethylene glycol)methacrylate) block-brush copolymer

Iranian Polymer Journal : Volume 22, Issue 3, March 2013

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Iranian Polymer Journal : Volume 22, Issue 1, January 2013

Iranian Polymer Journal : Volume 21

Application of genetic algorithm in calculation of the phase behavior of binary and ternary polymer solutions

Content Provider	Springer Nature Link
Author	Ghiass, Majid Sharifi, Adel Moghbeli, Mohammad Reza
Copyright Year	2013
Abstract	A genetic algorithm as an optimization procedure has been developed to predict the phase behavior of polymer solutions. The phase equilibrium diagrams of binary and ternary polymer solutions have been determined using the appropriate form of Flory–Huggins free-energy function for polymer solutions. A concentration and temperature dependent form of the interaction parameter has been used to reflect the effect of temperature and polymer properties in the free-energy form. The proposed genetic algorithm is applied to compare the phase behavior results of some typical polymer solutions with the results of the classical determination methods and then applied to some conventional ternary polymer solutions as polymer–solvent–nonsolvent systems. The proposed algorithm use a set of individual states as the initial chromosomes and uses the general rules as crossover, mutation, and with use of a fractional objective function determines the binodal points or the phase diagram boundaries of polymer solutions. The properties of an industrially relevant polymer solution, a polystyrene–cyclohexane solution, have been used to emphasize on the industrial application of the proposed algorithm. The algorithm has been used to predict the phase behavior of the two polymer–solvent–nonsolvent systems as polystyrene-butanone-methanol and polystyrene-butanone-propanol at three different temperatures and results show good agreement with the experimental observations. The algorithm also has the capability to predict both the concentration-independent and concentration-dependent interaction parameters among the different components. The genetic algorithm is an easy-to-use, state-of-art, and very fast optimization tool, and has very strong capability to solve nonlinear systems in chemical and polymer engineering topics.
Starting Page	237
Ending Page	244
Page Count	8
File Format	PDF
ISSN	10261265
Journal	Iranian Polymer Journal
Volume Number	22
Issue Number	4
e-ISSN	17355265
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-01-24
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Polymer Sciences Genetic Algorithm Ceramics, Glass, Composites, Natural Methods Population Mutation Crossover Phase equilibrium Interaction Parameter
Content Type	Text
Resource Type	Article
Subject	Materials Chemistry Chemical Engineering Polymers and Plastics

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