التفاصيل البيبلوغرافية
العنوان: |
Experimental study of phase separation in dynamically asymmetric unentangled polymer blend. |
المؤلفون: |
Sato, Takeshi, Matsumiya, Yumi, Watanabe, Hiroshi |
المصدر: |
Journal of Chemical Physics; 12/14/2022, Vol. 157 Issue 22, p1-11, 11p |
مصطلحات موضوعية: |
PHASE separation, POLYMER blends, DIELECTRIC measurements, OPTICAL microscopes, CRITICAL temperature, POLYISOPRENE |
مستخلص: |
We examined a phase separation process of a dynamically asymmetric blend of unentangled polyisoprene (PI) and poly(4-ethylstyrene) (PC2St) exhibiting the upper critical solution temperature. PI having the type-A dipole was the dielectrically active fast component, whereas PC2St was the dielectrically inert slow component whose dynamics can be detected by rheological measurements. To precisely model the phase separation process, it is important to estimate the composition dependence of the mobility, which is needed to describe the phase separation dynamics. For that purpose, we conducted dielectric and rheological measurements to determine the friction coefficient of each component in a homogeneous state sufficiently above the phase separation temperature. The temperature dependence of the friction coefficient of each component was reasonably expressed by the Williams–Landel–Ferry equation. Extrapolating this dependence obtained for blends of various compositions to the test temperature T* below the phase separation temperature, we were able to estimate the friction coefficient of the chain at T* as a function of the composition. This friction coefficient was then used to determine the mobility Λ defined for the material fluxes at T*. The time-dependent Ginzburg–Landau (TDGL) equation incorporating this Λ well described the experimentally observed phase separation dynamics. In particular, the 2D TDGL simulation with this Λ qualitatively captured the phase-separated structure observed with the optical microscope as well as broad dielectric mode distribution of the blend at T*. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |