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Pyrolytic Kinetics of Polystyrene Particle in Nitrogen Atmosphere: Particle Size Effects and Application of Distributed Activation Energy Method
School of Mechanical Engineering, Nanjing University of Science and Technology, China.
School of Mechanical Engineering, Nanjing University of Science and Technology, China.
School of Mechanical Engineering, Nanjing University of Science and Technology, China.
School of Mechanical Engineering, Nanjing University of Science and Technology, China.
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2020 (English)In: Polymers, ISSN 2073-4360, E-ISSN 2073-4360, Vol. 12, no 2, article id 421Article in journal (Refereed) Published
Abstract [en]

This work was motivated by a study of particle size effects on pyrolysis kinetics and models of polystyrene particle. Micro-size polystyrene particles with four different diameters, 5, 10, 15, and 50 µm, were selected as experimental materials. Activation energies were obtained by isoconversional methods, and pyrolysis model of each particle size and heating rate was examined through different reaction models by the Coats–Redfern method. To identify the controlling model, the Avrami–Eroféev model was identified as the controlling pyrolysis model for polystyrene pyrolysis. Accommodation function effect was employed to modify the Avrami–Eroféev model. The model was then modified to f(α) = nα0.39n − 1.15(1 − α)[−ln(1 − α)]1 − 1/n, by which the polystyrene pyrolysis with different particle sizes can be well explained. It was found that the reaction model cannot be influenced by particle geometric dimension. The reaction rate can be changed because the specific surface area will decrease with particle diameter. To separate each step reaction and identify their distributions to kinetics, distributed activation energy method was introduced to calculate the weight factor and kinetic triplets. Results showed that particle size has big impacts on both first and second step reactions. Smaller size particle can accelerate the process of pyrolysis reaction. Finally, sensitivity analysis was brought to check the sensitivity and weight of each parameter in the model.

Place, publisher, year, edition, pages
MDPI, 2020. Vol. 12, no 2, article id 421
Keywords [en]
particle size, model free, model fitting, avrami–eroféev, DAEM
National Category
Bio Materials
Research subject
Wood and Bionanocomposites
Identifiers
URN: urn:nbn:se:ltu:diva-78212DOI: 10.3390/polym12020421PubMedID: 32059348Scopus ID: 2-s2.0-85081270837OAI: oai:DiVA.org:ltu-78212DiVA, id: diva2:1416846
Note

Validerad;2020;Nivå 2;2020-03-25 (alebob)

Available from: 2020-03-25 Created: 2020-03-25 Last updated: 2020-03-25Bibliographically approved

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Das, Oisik

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