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Isothermal kinetic predictions from nonisothermal data by using the iterative linear integral isoconversional method
Affiliation:1. School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, People''s Republic of China;2. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, 18 Fuxue Road, Beijing 102249, People''s Republic of China;3. School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, People''s Republic of China;4. School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, People''s Republic of China;1. Department of Chemistry, University of Alabama at Birmingham, 901 S. 14th Street, Birmingham, AL 35294, USA;2. Solid State Physics Department, School of Physics, Aristotle University of Thessaloniki, Macedonia, Thessaloniki 541 24, Greece;3. Istituto per i Polimeri, Compositi e Biomateriali (CNR), c/o Comprensorio Olivetti, Via Campi Flegrei 34, Pozzuoli, NA 80078, Italy;4. Department of Science Education, Graduate School of Education, Hiroshima University, 1-1-1 Kagamiyama, Higashi-Hiroshima 739-8524, Japan;5. École Nationale Supérieure des Mines, Laboratoire Georges Friedel, CNRS UMR 5307, Centre SPIN, Saint-Étienne 42023, France;6. AKTS Inc., Advanced Kinetics and Technology Solutions, TECHNOArk 1, Siders 3960, Switzerland;7. Université Nice Sophia Antipolis, Laboratoire de Physique de la Matière Condensée, Equipe Fluides et Matériaux Complexes, CNRS UMR 7336, Parc Valrose Nice Cedex 2 06108, France;8. Departament de Física, Universitat de Girona, Girona, Catalonia 17071, Spain;1. Institute for Process and Particle Engineering, Graz University of Technology, Inffeldgasse 21b, 8010 Graz, Austria;2. Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205 Berlin, Germany;3. Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106 Magdeburg, Germany;4. Technische Universität Berlin, Department of Energy Engineering, FG EVUR, Sekr. RDH 9, Fasanenstrasse 89, 10623 Berlin, Germany
Abstract:A key issue in kinetic analysis is the prediction of the evolution of a thermally stimulated solid-state reaction for a given isothermal temperature from nonisothermal kinetic parameters. However, the conventional methods neglect the dependence of the activation energy on the conversion degree during the isothermal process; therefore, they may lead to some important errors in the isothermal kinetic predictions when the kinetic parameters vary significantly with the conversion degree. A new method for the determination of the isothermal conversion-time data from the nonisothermal kinetic parameters determined by the iterative linear integral isoconversional method has been developed. Two theoretically simulated data sets have been analyzed. And the analysis results have shown that the new method can give accurate isothermal kinetic predictions.
Keywords:Isoconversional method  Nonisothermal kinetics  Solid-state reactions  Isothermal prediction
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