crystallizable polymer
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Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 347
Author(s):  
Wenlin Zhang ◽  
Lingyi Zou

We apply molecular dynamics (MD) simulations to investigate crystal nucleation in incompatible polymer blends under deep supercooling conditions. Simulations of isothermal nucleation are performed for phase-separated blends with different degrees of incompatibility. In weakly segregated blends, slow and incompatible chains in crystallizable polymer domains can significantly hinder the crystal nucleation and growth. When a crystallizable polymer is blended with a more mobile species in interfacial regions, enhanced molecular mobility leads to the fast growth of crystalline order. However, the incubation time remains the same as that in pure samples. By inducing anisotropic alignment near the interfaces of strongly segregated blends, phase separation also promotes crystalline order to grow near interfaces between different polymer domains.


Soft Matter ◽  
2019 ◽  
Vol 15 (14) ◽  
pp. 2981-2989 ◽  
Author(s):  
Shaowen Guo ◽  
Yaguang Lu ◽  
Binghua Wang ◽  
Changyu Shen ◽  
Jingbo Chen ◽  
...  

In this study, conductive porous P3HT membranes with a wide range of pore sizes were prepared by crystallization-driven phase separation based on blending P3HT with a crystallizable polymer.


2017 ◽  
Vol 139 (12) ◽  
pp. 4409-4417 ◽  
Author(s):  
Ali Nazemi ◽  
Xiaoming He ◽  
Liam R. MacFarlane ◽  
Robert L. Harniman ◽  
Ming-Siao Hsiao ◽  
...  

Science ◽  
2016 ◽  
Vol 352 (6286) ◽  
pp. 697-701 ◽  
Author(s):  
H. Qiu ◽  
Y. Gao ◽  
C. E. Boott ◽  
O. E. C. Gould ◽  
R. L. Harniman ◽  
...  

2014 ◽  
Vol 3 (3) ◽  
pp. 142-148
Author(s):  
Vitaly Klenin ◽  
◽  
Irina Fedusenko

2012 ◽  
Vol 77 ◽  
pp. 319-324 ◽  
Author(s):  
Igor Kolesov ◽  
Oleksandr Dolynchuk ◽  
Hans Joachim Radusch

In present work a new theoretical approach based on the modified three-element Eyring-Halsey mechanical model was used for the derivation of an equation, which describes the thermally-induced recovery of preloaded covalently crosslinked polymer. This approach takes into account the influence of crystallizable polymer network as well as of entangled slipped molecular chains. Modeling of the temperature dependences of shape-memory (SM) recovery strain and SM recovery rate detected at constant heating rate has been performed for three types of polyethylene with sufficiently different crystallinity and crosslink density at programming strain of 100%. The results of modeling agree well with the experimental data. The values of material parameters determined by fitting correspond satisfactorily to the estimations existing in literature. It is shown that the contribution of the entangled slipped molecules to the total stored SM strain increases with increasing degree of branching and crosslink density. The physical sense of main fitting parameters and their dependences on the material constants such as crystallinity are discussed.


2004 ◽  
Vol 856 ◽  
Author(s):  
Tomoko Hashida ◽  
Ying Hua ◽  
Shaw Ling Hsu ◽  
Charles W. Paul

ABSTRACTMorphology development of crystallizable polymer blends has been investigated using optical microscopy, thermal analysis, and vibrational spectroscopy. The blends studied involve crystallizable polyesters of poly(hexamethylene adipate) (PHMA) and poly(hexamethylene sebacate) (PHMS) and non-crystallizable poly(propylene glycol) (PPG). Although these polyesters possess similar chemical structure, they exhibit different phase behavior. Ternary blends including a high glass transition temperature (Tg) component were also studied. Crystallization kinetics in these blends was obtained utilizing Fourier transform infrared spectroscopy. Micro-Raman spectroscopy capable of achieving high spatial resolution (1 μm2) revealed detailed morphological differences in the phase-separated structures. This technique made possible for the first time characterization of the chemical composition of the blends and distribution of crystallites. The role of the third relative immobile component significantly changed both chemical distribution and the degree of crystallinity.


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