Applicability of Fraser–Suzuki function in kinetic analysis of complex crystallization processes

Svoboda, Roman; Málek, Jiřı́

doi:10.1007/s10973-012-2445-9

Cited by 138 publications

(85 citation statements)

References 19 publications

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“…As stated by Svoboda and Málek [10], the value of a 3 is almost constant for two similar peaks of the two DTG curves as well. Consequently, the peak fitting program can fix the parameters of the peaks in a DTG curve in a constrained manner and may lead to obtain physically meaningful results.…”

Section: Prediction Of Peak Points Locationsupporting

confidence: 67%

“…They showed that the FS function can be used to fit properly kinetic curves of the solid-state reaction with any kinetic model (reactions follow ideal kinetic models or even reactions whose kinetic model deviates from the ideal ones) due to the asymmetric form of this function. Svoboda et al investigated the possibility of using FS function in kinetic analysis of complex crystallization processes by some modifications in the procedure [10]. They used a constrained curve-fitting technique and have identified a correlation between the Johnson-Mehl-Avrami (JMA) kinetic parameter, m, and the FS asymmetry parameter, a 3 .…”

Section: Peak Deconvolutionmentioning

confidence: 99%

“…Nevertheless, thermal gradients and data acquisition errors may progressively more affect such an approach [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Taghizadeh

Yeganeh

Rezaei

2014

J Therm Anal Calorim

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A peak deconvolution procedure used for the analysis of data corresponding to simultaneous overlapping processes begins with separation of individual processes using functions such as Gaussian, Lorentzian, Weibull, and Fraser-Suzuki (FS) followed by application of kinetic analysis methods to the separated peaks. We propose a coupled peak deconvolution procedure to link the parameters of the FS functions of similar peaks in two DTG curves obtained at different linear heating rates, so that the coordinates of each peak can be obtained in a constrained manner. The proposed technique is a kinetic deconvolution method rather than a pure mathematical deconvolution technique. To analyze individual peaks in our study, the non-parametric kinetic and Freidman's isoconversional methods have been applied to determine kinetic triplet of each process. This technique has been tested with both simulated and experimental data. Using this technique, the effects of molecular weight and degree of hydrolysis of polyvinyl alcohol (PVA) samples on reaction mechanism and activation energy of thermal degradation were studied. The presence of acetate group in the PVA samples causes thermal stability, decreases the rate of main reactions, and increases the activation energy. The results of this study may help tailor heat-resistant materials with proper choice of polymer characteristics.

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Section: Prediction Of Peak Points Locationsupporting

confidence: 67%

Section: Peak Deconvolutionmentioning

confidence: 99%

See 1 more Smart Citation

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Taghizadeh

Yeganeh

Rezaei

2014

J Therm Anal Calorim

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“…In the second part of the article, the deconvolution of the previously identified complex crystallization process will be performed. The modified Fraser-Suzuki deconvolution [18] will be used in this regard. The main advantage of this recently developed methodology is that it provides a physically meaningful separation of the overlapping kinetic processes.…”

Section: Methodsmentioning

confidence: 99%

Non-isothermal crystallization kinetics of GeTe4 infrared glass

Svoboda

Brandová

Málek

2015

J Therm Anal Calorim

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Non-isothermal crystallization kinetics of the GeTe 4 chalcogenide glass was studied in dependence on particle size. Complexity of the obtained DSC data was treated by means of the Fraser-Suzuki deconvolution, and the particular crystallization sub-processes were identified and described in terms of the JMA(2) and AC kinetic models. Bulk as-prepared GeTe 4 samples, on the other hand, exhibited simple zero-order (F0) crystallization kinetics. The marked difference between the powder and bulk crystallization mechanisms was explained based on the mechanically induced defects and heterogeneities, which surrogate/accelerate the primary nucleation process. This concept also accounts for the remarkable stability of the studied telluride glass. Precipitation of Te followed by second-stage GeTe crystal growth was confirmed by XRD for all of the applied experimental conditions. The dominant influence of the nucleation process on the consequent crystallization kinetics is thereby implicated. Infrared microscopy was used to confirm the existence of the particular crystallization mechanism.

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“…Several kinetic models and their parameters are related with the concept of crystal growth mechanism 10,13 . In the case of overlapping peaks, the full kinetic analysis can be performed after the deconvolution process, which can be done by numerical fitting using a general equation describing various shapes of DSC peaks such as FraserSuzuki function (only for nonisothermal conditions) [17][18][19] or deconvolution based on selected function [20][21][22] . The analysis of overlapping DSC or DTA peaks, without deconvolution, can be done partially when only the value of activation energy is determined from nonisothermal measurements [23][24][25] but the information about crystal growth morphology and mechanism is missing.…”

Section: Introductionmentioning

confidence: 99%

General Approach to the Nucleation and Crystal Growth in Sb_0.5Se_99.5 Glass Explaining the Shape of DSC Curves

Honcová

Shánělová

Barták

et al. 2016

Crystal Growth & Design

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Crystallization of amorphous Sb 0.5 Se 99.5 glass in the form of bulk and powder with defined particle sizes (prepared in protective atmosphere of argon) was studied by DSC. Different forms of sample exhibit quite complex behaviour involving crystallization on the surface and in the volume of the sample and it is reflected in the shape of DSC curve. Standard kinetic analysis cannot describe experimental results with interpretation of crystal growth mechanism, although the deconvolution procedure was done using several kinetic models, because of the time-lag of crystallization in the volume. However, theoretical curves based on nucleation and crystal growth rates, calculated separately for the process on the surface and in the volume of the sample, well correspond to real data and explain distinctive change in the shape of DSC curves with particle sizes.

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Applicability of Fraser–Suzuki function in kinetic analysis of complex crystallization processes

Cited by 138 publications

References 19 publications

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Non-isothermal crystallization kinetics of GeTe4 infrared glass

General Approach to the Nucleation and Crystal Growth in Sb_0.5Se_99.5 Glass Explaining the Shape of DSC Curves

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Applicability of Fraser–Suzuki function in kinetic analysis of complex crystallization processes

Cited by 138 publications

References 19 publications

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Kinetic analysis of the complex process of poly(vinyl alcohol) pyrolysis using a new coupled peak deconvolution method

Non-isothermal crystallization kinetics of GeTe4 infrared glass

General Approach to the Nucleation and Crystal Growth in Sb0.5Se99.5 Glass Explaining the Shape of DSC Curves

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Product

Resources

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General Approach to the Nucleation and Crystal Growth in Sb_0.5Se_99.5 Glass Explaining the Shape of DSC Curves