Issue 9, 2023

Stereocomplex crystallization in cyclic polymer blends studied using dynamic Monte Carlo simulations

Abstract

Due to the absence of chain ends, cyclic polymers exhibit different crystallization behaviours from linear polymers. In the current work, the dynamic Monte Carlo simulation method was used to explore stereocomplex crystallization in cyclic polymer blends. Compared with linear polymer blends, the cyclic polymer blends have lower final contents of stereocomplex crystallites (SCs). This decline in the stereocomplexation ability can be attributed to the discrepancy in four factors (melting temperature, chain miscibility, segmental mobility and crystallization mode). The cyclic polymer blends exhibit higher melting temperature, lower miscibility, weaker segmental mobility and higher fraction of chain-folding, leading to the formation of less SCs. In addition, the final SC contents decrease with the increase of chain length of the cyclic polymers, except the system with a chain length of 16 lattice sites, which has higher final SC contents compared with the system with a chain length of 8 lattice sites at high temperatures. This abnormal phenomenon is caused by the improvement of segmental mobility in the systems with longer chains that have weaker movement correlations between different segments.

Graphical abstract: Stereocomplex crystallization in cyclic polymer blends studied using dynamic Monte Carlo simulations

Supplementary files

Article information

Article type
Paper
Submitted
29 Jul 2022
Accepted
27 Jan 2023
First published
27 Jan 2023

CrystEngComm, 2023,25, 1347-1357

Stereocomplex crystallization in cyclic polymer blends studied using dynamic Monte Carlo simulations

H. Wu, X. Wang, Q. Zhu, X. Yan, Q. Xue, Z. Zhou, T. Hao, Z. Li and Y. Nie, CrystEngComm, 2023, 25, 1347 DOI: 10.1039/D2CE01043G

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