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Issue 5, 2017
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Kinetic analysis of non-isothermal solid-state reactions: multi-stage modeling without assumptions in the reaction mechanism

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Abstract

A novel non-linear regression method for modeling non-isothermal thermogravimetric data is proposed. Experiments for several heating rates are analyzed simultaneously. The method is applicable to complex multi-stage processes when the number of stages is unknown. Prior knowledge of the type of kinetics is not required. The main idea is a consequent estimation of parameters when the overall model is successively changed from one level of modeling to another. At the first level, the Avrami–Erofeev functions are used. At the second level, the Sestak–Berggren functions are employed with the goal to broaden the overall model. The method is tested using both simulated and real-world data. A comparison of the proposed method with a recently published ‘model-free’ deconvolution method is presented.

Graphical abstract: Kinetic analysis of non-isothermal solid-state reactions: multi-stage modeling without assumptions in the reaction mechanism

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Publication details

The article was received on 03 Nov 2016, accepted on 21 Dec 2016 and first published on 21 Dec 2016


Article type: Paper
DOI: 10.1039/C6CP07529K
Citation: Phys. Chem. Chem. Phys., 2017,19, 3606-3615
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    Kinetic analysis of non-isothermal solid-state reactions: multi-stage modeling without assumptions in the reaction mechanism

    A. L. Pomerantsev, A. V. Kutsenova and O. Ye. Rodionova, Phys. Chem. Chem. Phys., 2017, 19, 3606
    DOI: 10.1039/C6CP07529K

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