The effects of reaction variables on the degree of randomness in copolymers formed by ester interchange reaction in miscible polyester melt blends were systematically investigated using a Monte Carlo method. Three reaction variables such as the molecular weight difference between two component polym
Ester interchange reactions in polyester: A Monte Carlo simulation approach
β Scribed by Won Ho Jo; Ick Hwan Kwon; June Huh; Chung Yup Kim
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 311 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0014-3057
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β¦ Synopsis
The effect of ester interchange reactions on the molecular weight distribution (MWD) has been analysed by the Monte Carlo simulation method. An interchange reaction is accepted or rejected according to the Metropolis rule, and the probability of a reaction is calculated from the MWD of the system. The initial biases from thermodynamic equilibrium, such as a monodisperse MWD and a fully extended chain configuration, are rapidly relaxed as the reaction progresses. The simulated MWD is in good agreement with the most probable MWD proposed by Flory. It is also observed that the end-to-end distance of molecules after ester interchange reactions follows Gaussian statistics.
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The homogenization process caused by competition between phase separation and ester-interchange reactions in immiscible polyester blends was investigated via the Monte Carlo simulation method. Phase separation and ester-interchange reactions were performed simultaneously with the one-site bond fluct
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