Fast Scanning Calorimetry

Schick, Christoph; Androsch, René

doi:10.1002/9783527828692.ch3

Cited by 2 publications

(2 citation statements)

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“…Generally speaking, it is difficult to achieve cooling/heating rates that is high enough to bypass the kinetics during polymer crystallization which is necessary to obtain a sample without any “memory.” To overcome this obstacle, the differential fast scanning calorimeter (DFSC) is introduced and it can apply cooling or heating rates up to

1 \times 10^{7} normalK / s^{- 1}

34,35 thus it becomes a useful tool to study anisothermal crystallization 30,36–39 . This technique also makes it possible to investigate the isothermal crystallization over a wide range of temperatures with much less influences of the thermal history in the system introduced by heating or cooling 30,36,40–43 . Deep cooling to a very low temperature (still above glass transition temperature,

T_{g}

) may induce heterogeneous nucleation.…”

Section: Melt Memory Effects Of Semi‐crystalline Polymersmentioning

confidence: 99%

The melt memory effects in polymer crystallization

Shang

2024

Journal of Polymer Science

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This paper presents a systematic review of the literature on the melt memory effects observed in polymers, an area that has engendered considerable debate for over 50 years. Recent advances in experimental techniques have provided fresh insights into how a polymer's thermal history influences its recrystallization behavior. It has been observed that given other conditions unchanged, the crystallization temperature during recrystallization decreases with an increase in the melt temperature Ts above the melting point Tm until a critical melt temperature is attained. This phenomenon also extends to the half‐time of crystallization and the secondary structures, such as lamellar thickness, of semi‐crystalline polymers. Despite these findings, a comprehensive constitutive model that encapsulates polymer melt memory effects remains elusive. Cutting‐edge instrumentation, including in situ small and wide‐angle X‐ray scattering, temperature‐controlled Fourier transform infrared spectroscopy, and flash differential scanning calorimetry, have posed significant challenges to the traditional nucleation and growth models established in the 1970s. These models are foundational to our understanding of polymer crystallization, which is an integral part of polymer processing and production. In this review, the historical contours of this discourse are traced, with an examination of both the recent experimental breakthroughs and theoretical advancements pertinent to polymer melt memory effects. This paper delves into the prevailing theories of polymer nucleation and crystallization and engages with theoretical discussions and numerical simulations that attempt to elucidate and rationalize these melt memory phenomena.

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1 \times 10^{7} normalK / s^{- 1}

T_{g}

) may induce heterogeneous nucleation.…”

Section: Melt Memory Effects Of Semi‐crystalline Polymersmentioning

confidence: 99%

The melt memory effects in polymer crystallization

Shang

2024

Journal of Polymer Science

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“…This method has facilitated the detailed investigation of the behavior of polymers, such as crystallization, melting, and glass transition. [20][21][22][23] According to FSC studies, PE has a high degree of crystallinity and can undergo secondary crystallization even with rapid cooling (at rates of a million Kelvin per second) from the melt. Complete vitrification of liquid PE requires cooling at a rate of 1,000,000 K s À1 and above.…”

Section: Introductionmentioning

confidence: 99%

Determination of mass fractions in polypropylene/polyethylene blends using fast scanning calorimetry

Furushima

Hirota

Nakada

et al. 2023

J of Applied Polymer Sci

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Fast scanning calorimetry (FSC) enables rapid sample cooling from the melt at rates of several thousand Kelvin per second. A perfect amorphous state for polypropylene (PP) can be achieved by fast cooling at rates of 5000 K s−1. In comparison, polyethylene (PE) crystallizes during cooling, even at cooling rates accessible with FSC. Thus, in this study, a novel method was proposed for determining the PP/PE mixing ratio with a standard deviation of 1.4 mass% that combines FSC and differential scanning calorimetry. The proposed method considers the above thermal behavior of the components of polyolefin blends. In addition, the proposed method is expected to provide a convenient way to analyze the composition of recycled polyolefins from the market or industrial processes without the need for high‐temperature solvents that are typically used in nuclear magnetic resonance or for calibration curves in Fourier transform infrared spectrophotometry.

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Fast Scanning Calorimetry

Cited by 2 publications

References 471 publications

The melt memory effects in polymer crystallization

The melt memory effects in polymer crystallization

Determination of mass fractions in polypropylene/polyethylene blends using fast scanning calorimetry

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