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Monte Carlo Simulation of Olefin Block Copolymers: Bivariate Distribution of Molecular Weight and Chemical Composition
Author(s) -
Buakrong Poramet,
Anantawaraskul Siripon,
Soares João B.P.
Publication year - 2018
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/masy.201700060
Subject(s) - monte carlo method , polyolefin , copolymer , molar mass distribution , materials science , polymerization , olefin fiber , bivariate analysis , block (permutation group theory) , work (physics) , polymer chemistry , thermodynamics , mathematics , polymer , nanotechnology , physics , composite material , statistics , geometry , layer (electronics)
The multi‐block structure of olefin block copolymers (OBCs) leads to their unique properties, in contrast to those of traditional polyolefin elastomers. In this work, the detailed bivariate distribution of molecular weight and chemical composition (MWD × CCD) of OBCs is examined using Monte Carlo simulation. The effects of polymerization parameters on the bivariate MWD × CCD are also studied and reported for the first time. This model can be used as a tool to describe how to produce OBCs with desired microstructures by manipulating the polymerization conditions.