Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2))
Isotactic poly (1-butene), ipbu-1, was synthesized by using a metallocene catalyst. The thermodynamic phase behavior of polymer–organic solvents systems is very important in every polymer application. In this paper, the solid–liquid equilibrium of ipbu-1 with different organic solvents (1-heptyne,...
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Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
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doaj-9cabc1c23d1d47c790219e0a15da6cb52020-11-25T03:22:17ZengIranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECRIranian Journal of Chemistry & Chemical Engineering 1021-99861021-99862014-03-0133167737197Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2))Hossein Ghanadzadeh0Allahyar Daghbandan1Mohammd Akbarizadeh2Department of Chemical Engineering, Faculty of Engineering,Guilan University , P.O. Box 4163-3756 Rasht, I.R. IRANDepartment of Chemical Engineering, Faculty of Engineering,Guilan University , P.O. Box 4163-3756 Rasht, I.R. IRANDepartment of Chemical Engineering, Faculty of Engineering,Guilan University , P.O. Box 4163-3756 Rasht, I.R. IRANIsotactic poly (1-butene), ipbu-1, was synthesized by using a metallocene catalyst. The thermodynamic phase behavior of polymer–organic solvents systems is very important in every polymer application. In this paper, the solid–liquid equilibrium of ipbu-1 with different organic solvents (1-heptyne, cyclo octane) was studied by a mathematical model. By considering the experiments temperature-mole fraction results, phase diagram of the polymer solvent systems could be constructed. The temperature and activity coefficient based on mole fraction phase diagrams were predicted by using Pareto genetic design of GMDH-type neural network. The results were very encouraging and congruent with the experimental data.http://www.ijcce.ac.ir/article_7197_62a66b9e34c003a69c2eb5e8e49ac67b.pdfsolid-liquid equilibriumisotactic poly (1-butene)gmdh type-neural networkorganic solvents |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hossein Ghanadzadeh Allahyar Daghbandan Mohammd Akbarizadeh |
spellingShingle |
Hossein Ghanadzadeh Allahyar Daghbandan Mohammd Akbarizadeh Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) Iranian Journal of Chemistry & Chemical Engineering solid-liquid equilibrium isotactic poly (1-butene) gmdh type-neural network organic solvents |
author_facet |
Hossein Ghanadzadeh Allahyar Daghbandan Mohammd Akbarizadeh |
author_sort |
Hossein Ghanadzadeh |
title |
Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) |
title_short |
Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) |
title_full |
Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) |
title_fullStr |
Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) |
title_full_unstemmed |
Applying Pareto Design of GMDH-Type Neural Network for Solid-Liquid Equilibrium of Binary Systems (Isotactic Poly 1-Butene (1)-Organic Solvents (2)) |
title_sort |
applying pareto design of gmdh-type neural network for solid-liquid equilibrium of binary systems (isotactic poly 1-butene (1)-organic solvents (2)) |
publisher |
Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR |
series |
Iranian Journal of Chemistry & Chemical Engineering |
issn |
1021-9986 1021-9986 |
publishDate |
2014-03-01 |
description |
Isotactic poly (1-butene), ipbu-1, was synthesized by using a metallocene catalyst. The thermodynamic phase behavior of polymer–organic solvents systems is very important in every polymer application. In this paper, the solid–liquid equilibrium of ipbu-1 with different organic solvents (1-heptyne, cyclo octane) was studied by a mathematical model. By considering the experiments temperature-mole fraction results, phase diagram of the polymer solvent systems could be constructed. The temperature and activity coefficient based on mole fraction phase diagrams were predicted by using Pareto genetic design of GMDH-type neural network. The results were very encouraging and congruent with the experimental data. |
topic |
solid-liquid equilibrium isotactic poly (1-butene) gmdh type-neural network organic solvents |
url |
http://www.ijcce.ac.ir/article_7197_62a66b9e34c003a69c2eb5e8e49ac67b.pdf |
work_keys_str_mv |
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