Simulation of Microstructural Eevolution During Reactive Blending of PET and PEN: Numerical Integration of Kinetic Differential Equations and Monte Carlo Method-Reference-Cited by-同舟云学术

Simulation of Microstructural Eevolution During Reactive Blending of PET and PEN: Numerical Integration of Kinetic Differential Equations and Monte Carlo Method

Published:2015-01-07 Issue:2 Volume:24 Page:152-167
ISSN:1022-1344
Container-title:Macromolecular Theory and Simulations
language:en
Short-container-title:Macromol. Theory Simul.

Author:

Mohammadi Yousef¹,Khonakdar Hossein Ali²³,Jafari Seyed Hassan⁴,Saeb Mohammad Reza⁵,Golriz Mahdi²,Wagenknecht Udo³,Heinrich Gert³,Sosnowski Stanislaw⁶,Szymanski Ryszard⁶

Affiliation:

1. Hi-Tech Research Group; Petrochemical Research and Technology Company (NPC-rt); National Petrochemical Company (NPC); P.O. Box 14358-84711 Tehran Iran

2. Iran Polymer and Petrochemical Institute; P.O. Box 14965-115 Tehran Iran

3. Leibniz-Institute of Polymer Research; Dresden D-01067 Germany

4. School of Chemical Engineering; College of Engineering; University of Tehran; P.O. Box 11155-4563 Tehran Iran

5. Department of Resin and Additives; Institute for Color Science and Technology; P.O. Box 16765-654 Tehran Iran

6. Center of Molecular and Macromolecular Studies of Polish Academy of Sciences; Sienkiewicza 112 Lodz 90-363 Poland

Publisher

Wiley

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry,Condensed Matter Physics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mats.201400086/fullpdf

Reference25 articles.

1. Correlation of Sequence Block Lengths and Degree of Randomness with Melt Rheological Properties in PET/PEN Blends

2. An Improved Non-Isothermal Kinetic Model for Prediction of Extent of Transesterification Reaction and Degree of Randomness in PET/PEN Blends

3. The changes of transesterification level in PET/PEN blends with the addition of PET-PEN copolymer

4. A Study on Transreactions of PET/PEN Reactive Blending in a Twin-Screw Extruder Using an Axial Dispersion Model

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