2008
DOI: 10.2478/v10026-008-0031-5
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Application of artificial neural nerworks in oxidation kinetic analysis of nanocomposites

Abstract: This study concerns the application of artificial neural networks in oxidation kinetic analysis of ceramic nanocomposites. The oxidation of the Ti-Si-C ceramic nanocomposite in dry air was studied. The size of the nanoparticles was determined by scanning electron microscopy (SEM). The gaseous oxidation products were analysed by mass spectroscopy (MS) while the solid oxidation products by X-ray diffraction (XRD). The kinetic analysis of the oxidation was based on the Coats-Redfern equation. The kinetic models w… Show more

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Cited by 9 publications
(9 citation statements)
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“…In conventional way of kinetic parameters determination from the Coats-Redfern equation statistic methods are used [10,11,[16][17][18][19]. Using this way the good results sometimes are not achieved.…”
Section: Application Of Coats-redfern Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…In conventional way of kinetic parameters determination from the Coats-Redfern equation statistic methods are used [10,11,[16][17][18][19]. Using this way the good results sometimes are not achieved.…”
Section: Application Of Coats-redfern Equationmentioning
confidence: 99%
“…In kinetic calculations, the results concerning TG and DTG, containing about 110 thousands values, were used. These sets were evaluated by neural networks method [19]. As described variables TG or DTG, and as describing variables T and b were used.…”
Section: Analysis Of Tg Dtg and Hf Plotsmentioning
confidence: 99%
“…The determined TGu values should depend only on temperature and heating rate of the samples. This was confirmed by neural networks method in reference [24]. All the series were considered simultaneously.…”
Section: Analysis Of Tgu Dtg and Hf Chartsmentioning
confidence: 63%
“…Dependency of the reaction rate on temperature was described applying Arrhenius equation. After separation of variables the reaction rate of particular stage in heterogeneous process is expressed as [9][10][11][12][13][14][15]:…”
Section: Methodsmentioning
confidence: 99%