Non-isothermal oxidation of ceramic nanocomposites using the example of Ti–Si–C–N powder: Kinetic analysis method

Biedunkiewicz, A.; Strzelczak, Agnieszka; Mozdzen, G.; Lelątko, J.

doi:10.1016/j.actamat.2008.02.043

Cited by 22 publications

(15 citation statements)

References 25 publications

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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%

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

Biedunkiewicz

Krawczyk

Gabriel-Półrolniczak

et al. 2013

J Therm Anal Calorim

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Nanometric carbides of transition metals and silicon are obtained by using precursors. Control of the course of these processes require data concerning transformations of single precursor, transformations of precursor in the presence of reducing agent and synthesis of the carbide. In this work, the way of investigating such processes is described on the example of thermal decomposition of (NH 4 ) 6 Mo 7 O 24 Á4H 2 O (precursor) in argon. The measurements were carried out by TG-DSC method. The solid products were identified by XRD method, and the gaseous products were determined by mass spectrometry method. There was demonstrated that the investigated process proceeded in five stages. Kinetic models (forms of f(a) and g(a) function) most consistent with experimental data and coefficients of Arrhenius equation A and E were determined for the stages. The Kissinger method and the Coats-Redfern equation were applied. In case of the Coats-Redfern equation, the calculations were performed by analogue method. In this way good consistency between the calculated and determined conversion degrees a(T) at practically constant values of A and E were obtained for distinguished stages and different sample heating rates.Keywords Decomposition of (NH 4 ) 6 Mo 7 O 24 Á4H 2 O in argon Á Thermal analysis Á Process kinetics Á Kissinger method Á Coats-Redfern equation Abbreviations APre-exponential Arrhenius factor/1 minConversion function dependent on mechanism of reaction f 0 (a m ) Derivative of f(a) function for maximal reaction rate u(T, a, P) Temperature, conversion degree and pressure function g(a)Integral form of kinetic model h(P)Pressure function k(T)Reaction rate constant/1 min

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Section: Application Of Coats-redfern Equationmentioning

confidence: 99%

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

Biedunkiewicz

Krawczyk

Gabriel-Półrolniczak

et al. 2013

J Therm Anal Calorim

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“…The use of ANN can overcome that problem in kinetic analysis as we look at the accuracy of experimental and calculated conversion degrees as shown in Figure 2. This was the final assessment of the performance of the analysis method and shows its high level of accuracy, compared to materials synthesised in a laboratory, like nanocomposites (Biedunkiewicz et al, 2008).…”

Section: Resultsmentioning

confidence: 95%

“…This example of a calculation procedure was applied to all the stages of protein denaturation in this study and produced results at the same level of model performance accuracy. This method has so far been used in chemical and process engineering studies (Biedunkiewicz et al, 2008), but for the first time it has given good results in food research. Protein denaturation in meat, as seen in Figure 1, produces highly diverse DSC curves compared to chemical laboratory experiments and is difficult for mathematical description.…”

Section: Resultsmentioning

confidence: 99%

The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method

Strzelczak

2019

Acta Sci Pol Technol Aliment

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Background. Artificial neural networks (ANN) are a common mathematical tool widely used in many research fields. Since they are applicable to non-linear relationships and do not require preliminary assumptions, they are a particularly promising tool in relation to meat processing. Thermal denaturation contains a lot of information concerning the quality of meats. The aim was to create a methodology of kinetic analysis to obtain a quick and accurate tool for meat protein denaturation in non-isothermal conditions based on The Coats-Redfern equation with the use of ANN. Materials and methods. The analyses were carried out on samples of minced samples of Longissimus dorsi (pork). Thermal properties were determined using the differential scanning calorimetry (DSC) method with a Q100 TA Instruments apparatus. The data obtained was processed using the artificial neural network module in Statistica 13.0 software. Results. The following models fit well with experimental data: F1 and F2 (r = 0.99, F Snedecor's F statistics 836943.20 and 971947.41 respectively). Deviations from experimental conversion degrees were higher for model F2, while for F1, good conformity was obtained across the whole range of α(T). Conclusions. This preliminary study confirmed that methods of traditional kinetics of processes in non-isothermal conditions based on the Coats-Redfern equation can be successfully applied to meat protein denaturation. The method of kinetic analysis allows a high level of accuracy to be achieved and meets the requirements of an efficient engineering tool.

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“…ANNs have attracted significant attention in research on material processing and properties. This modeling framework have been recently used by many authors in various fields, for example, prediction of the effect of thermomechanical treatments on bake hardenability [19], optimization of the processing parameters [20] and modeling the oxidation behavior of ceramic nanocomposites [21]. However, to the knowledge of the authors, application of this framework to determine the high temperature oxidation behavior of aluminized NC coating is scarce.…”

Section: Introductionmentioning

confidence: 97%

Application of artificial neural network for prediction of the oxidation behavior of aluminized nano-crystalline nickel

2012

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Non-isothermal oxidation of ceramic nanocomposites using the example of Ti–Si–C–N powder: Kinetic analysis method

Cited by 22 publications

References 25 publications

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method

Application of artificial neural network for prediction of the oxidation behavior of aluminized nano-crystalline nickel

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Non-isothermal oxidation of ceramic nanocomposites using the example of Ti–Si–C–N powder: Kinetic analysis method

Cited by 22 publications

References 25 publications

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

Analysis of (NH4)6Mo7O24·4H2O thermal decomposition in argon

The application of artificial neural networks (ANN) for the denaturation of meat proteins &ndash; the kinetic analysis method

Application of artificial neural network for prediction of the oxidation behavior of aluminized nano-crystalline nickel

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The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method