Non‐Isothermal Crystallization Kinetics of an Ethylene‐Vinyl‐Acetate. II. Time‐Temperature‐Crystallinity‐Superposition

Carotenuto, Claudia; Grassia, Luigi; Paduano, Liana P.; Minale, Mario

doi:10.1002/pen.25242

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…Nevertheless, being the only model available in the literature, we will use it to predict the evolution of the mobility depending on the temperature and the crystalline degree. The thermal shift factors were fitted using the Williams-Landel-Ferry equation (WLF) [21] and the crystalline shift factors using a power law as proposed by defined [10] in Eq. (6).…”

Section: • Melting Kineticsmentioning

confidence: 99%

“…Rheological measurements were carried out in our laboratory between 360°C and 400°C under nitrogen in the amorphous state in order to estimate the thermal shift factor. The model coefficients of the crystallinity shift factor are taken from the literature [10].…”

Section: • Melting Kineticsmentioning

confidence: 99%

“…In spite of this approximation the authors obtained consistent results with the experimental. Nevertheless, several studies showed that despite the presence of crystals, for low crystallinity degree, the adhesion mechanism can continue because the amorphous phase still has a certain level of mobility [10,11]. In recent years, a promising time-temperature-crystallization-superposition (TTCS) model has been studied in order to predict the evolution of molecular mobility as a function of temperature and crystallinity and could allow a better understanding of adhesion with semicrystalline polymer [10,12].…”

Section: Introductionmentioning

confidence: 99%

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Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

BENARBIA

2023

Materials Research Proceedings

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Abstract. Numerous studies have been conducted to improve the adhesion quality at the interface between the filaments which remains one of the weak points in the FFF process. The interfacial adhesion of printed parts has already been investigated by several authors for amorphous polymers. However, for semicrystalline polymers, the influence of crystallization on adhesion kinetics as well as the description of partial melting at interfaces between filaments are not well taken into account in the models describing FFF process. The purpose of this work consists of proposing a predictive multiphysics model that enables the prediction of the adhesion degree for semi-crystalline polymers during FFF process. The coupling of a crystallization and melting model allows the estimation of the crystalline degree evolution at the interface. The use of a recent model predicting the molecular mobility as a function of temperature and crystallization makes it possible to estimate the degree of healing in anisothermal conditions. Finally, a parametric study is performed in order to propose process window improving the adhesion quality.

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Section: • Melting Kineticsmentioning

confidence: 99%

Section: • Melting Kineticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

BENARBIA

2023

Materials Research Proceedings

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Polymer melt rheology: Advantages of frequency sweeps using randomly selected frequencies*

Shaw

2021

Polymer Engineering & Sci

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Measurement of the viscoelastic properties of polymer solids, melts, and solutions is broadly practiced. The so‐called “frequency sweep” appears in thousands of publications, with data covering up to five decades of frequency to reveal, for example, the relative molecular size of a polymer. To perform these experiments, the frequency range is typically “swept” from high to low frequency or vice versa. Unfortunately, this confounds frequency with run time. This is more than annoying; time effects can result in serious mistakes in the interpretation of the data. Fortunately, the confounding can be eliminated by simply running the frequencies in random order, which converts the time trend to random error. Described here is how this can be done and shows via modeling that the result can not only show that time effects are present but can be analyzed to show the time rate of change of the sample. This analysis is demonstrated using two real examples: loss of solvent from poly(dimethyl siloxane) gum and gelation of porcine gelatin. This method compares well with the multiwave technique, but does not require any special software or adjustments of amplitude with frequency or harmonic spacing of the frequencies.

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Non-isothermal crystallization kinetics and its effect on the mechanical properties of homopolymer isotactic polypropylene

et al. 2021

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The non-isothermal crystallization of the isotactic Polypropylene (iPP) was studied using differential scanning calorimetry and polarizing optical microscopy. Jeziorny's model and Ozawa's theoretical approaches were applied to study the nonisothermal kinetics of the iPP. Jeziorny's approach proved to be the most relevant model to the present material. Simultaneously, the activation energy was calculated with Kissinger's method and Vyazovkin's iso-conversional approach. Indeed, the latter provides an activation energy varying between 100 and 176 kJ/mol. Furthermore, the WAXD scans indicated the presence of a single crystalline form in the used material. To study the effect of the microstructure on the mechanical properties of the iPP, multiscale tensile tests were carried out for different film microstructures. At macroscopic scale, the increase in the diameter of spherulites, inevitably accompanied by a rise in the crystallinity rate, induces the growth of rigidity, brittleness, and elastic limit. Moreover, the results of the in-situ micro-tensile tests present the evolution of spherulites during loading.

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Non‐Isothermal Crystallization Kinetics of an Ethylene‐Vinyl‐Acetate. II. Time‐Temperature‐Crystallinity‐Superposition

Cited by 8 publications

References 32 publications

Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

Polymer melt rheology: Advantages of frequency sweeps using randomly selected frequencies*

Non-isothermal crystallization kinetics and its effect on the mechanical properties of homopolymer isotactic polypropylene

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