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Chain‐length distributions and distribution coefficients in binary polymer blends
Author(s) -
Olaj Oskar Friedrich,
Petrik Thomas,
Zifferer Gerhard
Publication year - 1998
Publication title -
macromolecular theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 56
eISSN - 1521-3919
pISSN - 1022-1344
DOI - 10.1002/(sici)1521-3919(19981101)7:6<641::aid-mats641>3.0.co;2-e
Subject(s) - polymer , chain (unit) , monte carlo method , thermodynamics , amorphous solid , distribution function , lattice (music) , materials science , binary number , distribution (mathematics) , statistical physics , chemistry , physics , statistics , crystallography , mathematics , quantum mechanics , mathematical analysis , arithmetic , acoustics , composite material
Incompatible amorphous polymer blends on a 5‐way cubic lattice were simulated by means of Monte Carlo methods and chain‐length distributions of both minority and majority components in the two coexisting bulk phases investigated. Furthermore, the chain‐length dependence as well as the temperature dependence of the distribution coefficient was explored. A relative preference for shorter chains was noted in the energetically less favourable media leading to mass segregation and resulting in totally asymmetric shapes of the chain‐length distributions especially for the minority component. While the absolute concentration of the minority chains depends on the energetic situation as well as on the average chain‐length of the surrounding polymer matrix, the distribution coefficient K turned out to be a function of the individual chainlength N of the dissolved species as well as of the temperature T of the assembly according to the law K = exp[‐ const · N/T ]. These results are in full agreement with previous theoretical and experimental findings.