Kinetic parameter estimation for decomposition of organic peroxides by means of DSC measurements
Autor: | I. Ben Talouba, Laurent Balland, Nordine Mouhab, M.A. Abdelghani-Idrissi |
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Přispěvatelé: | Laboratoire de Sécurité des Procédés Chimiques (LSPC), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA) |
Rok vydání: | 2011 |
Předmět: |
Organic peroxide
General Chemical Engineering Analytical chemistry Energy Engineering and Power Technology 02 engineering and technology Management Science and Operations Research Mass spectrometry Kinetic energy 7. Clean energy 01 natural sciences Industrial and Manufacturing Engineering Isothermal process chemistry.chemical_compound 020401 chemical engineering [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering Thermal stability 0204 chemical engineering Safety Risk Reliability and Quality ComputingMilieux_MISCELLANEOUS Thermal decomposition 3. Good health 010406 physical chemistry 0104 chemical sciences chemistry Control and Systems Engineering Cumene hydroperoxide Gas chromatography Food Science |
Zdroj: | Journal of Loss Prevention in the Process Industries Journal of Loss Prevention in the Process Industries, Elsevier, 2011, 24 (4), pp.391-396. ⟨10.1016/j.jlp.2011.02.001⟩ |
ISSN: | 0950-4230 |
DOI: | 10.1016/j.jlp.2011.02.001 |
Popis: | The thermal stability of organic peroxides (cumene hydroperoxide 80 wt% and dicumyl peroxide) was studied by means of calorimetric measurement (DSC, TA Q1000) in an isotherm mode and a dynamic mode. Analysis of power profiles released in the isothermal mode was combined with the analysis of the decomposed compounds by a gas chromatograph/mass spectrometer (GC/MS) to determine the reaction mechanisms corresponding to each of the two reactions. In this work, a methodology for estimating kinetic parameters was based on the comparison of the power profile (dynamic mode) given by the model to that obtained experimentally by changing the parameters values. Parameter estimation is achieved using the mixed estimation method where a genetic algorithm is combined with a locally convergent method. |
Databáze: | OpenAIRE |
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