http://www.cnr.it/ontology/cnr/individuo/prodotto/ID190261
Model Selection and Parameters Estimation in Kinetic Thermal Evaluations using semi-empirical models (Articolo in rivista)
- Type
- Label
- Model Selection and Parameters Estimation in Kinetic Thermal Evaluations using semi-empirical models (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/aic.12711 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Ricerche sulla Combustione (CNR) (literal)
- Titolo
- Model Selection and Parameters Estimation in Kinetic Thermal Evaluations using semi-empirical models (literal)
- Abstract
- The minimum number of thermoanalytical experiments that should be considered with the aim of performing a complete and reliable kinetic analysis when using semiempirical models is the problem of concern. It is shown by means of a series of numerical experiments that three differential scanning calorimetric (DSC) dynamic runs performed at different heating rates provide a complete and reliable kinetic analysis while the topological structure of two DSC curves is enough to determine the semiempirical model (among reaction order and Sestack-Bergrenn) that better describe the experimental data. The procedure is analyzed by means of the simulation of a complex kinetic scheme and the results verified considering the thermal decomposition of cumene hydroperoxide. The proposed approach can be easily generalized to different kinetic models and is provided with a possible criterion devoted to identify autocatalytic processes by means of dynamical DSC experiments (literal)
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