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Model selection and parameters estimation in kinetic thermal evaluations using semiempirical models
Author(s) -
Sanchirico Roberto
Publication year - 2012
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.12711
Subject(s) - kinetic energy , autocatalysis , cumene , thermodynamics , parametric statistics , thermal , decomposition , thermal decomposition , experimental data , kinetic scheme , mathematics , statistical physics , chemistry , kinetics , physics , statistics , classical mechanics , biochemistry , organic chemistry , catalysis
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. © 2011 American Institute of Chemical Engineers AIChE J, 58: 1869–1879, 2012