Non-isothermal crystallization kinetics of polyethylene terephthalate: a study based on Tobin, Hay and Nakamura models
Appropriate knowledge of non-isothermal crystallization kinetics of polyethylene terephthalate is vital in producing final polymeric parts with a certain degree of crystallization. Hence, PET was synthesized through a two-step esterification and polycondensation method. The structure of prepared PET...
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Veröffentlicht in: | Iranian polymer journal 2023-02, Vol.32 (2), p.125-137 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Appropriate knowledge of non-isothermal crystallization kinetics of polyethylene terephthalate is vital in producing final polymeric parts with a certain degree of crystallization. Hence, PET was synthesized through a two-step esterification and polycondensation method. The structure of prepared PET was examined using FTIR and NMR tests. Due to the practical applications of the crystallization process, non-isothermal crystallization of PET was studied from the melt state under various cooling rates (
Φ
) between 5 and 40 K/min using DSC, demonstrating a wide range of
Φ
. The experimental results revealed that the crystallization reaches its final value for the cooling rates of 5 and 10 K/min. However, a partial crystallization occurred under higher cooling rates. The recrystallization of these samples during heating was confirmed. Empirical data showed no meaningful change in
T
g
and
T
m
with cooling rate. However,
T
C
and the final degree of crystallization varied linearly with cooling rate. Crystallization kinetic models are classified into two types: nonlinear and those that can be converted to linear. Due to the secondary crystallization of PET, the Avrami model could not make a good prediction. Among the linearizable models, Tobin model fitted the results very well. Among the nonlinear forms, the recently developed Hay model has an excellent ability to describe non-isothermal kinetics. Moreover, the integral type of Nakamura model was fitted instead of the normal differentiation form. A two-step optimization method is presented to achieve a high regression coefficient for nonlinear fitted models.
Graphical Abstract |
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ISSN: | 1026-1265 1735-5265 |
DOI: | 10.1007/s13726-022-01109-w |