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Measurement of kinetics and thermodynamics of the thermal degradation for flame retarded materials: application to EVA/ATH/NC
R2Fire/UMET − UMR CNRS 8207, ENSCL, Avenue Dimitri Mendeleïev - Bât. C7a, CS 90108, 59652, Villeneuve d'Ascq, France.
R2Fire/UMET − UMR CNRS 8207, ENSCL, Avenue Dimitri Mendeleïev - Bât. C7a, CS 90108, 59652, Villeneuve d'Ascq, France.
R2Fire/UMET − UMR CNRS 8207, ENSCL, Avenue Dimitri Mendeleïev - Bât. C7a, CS 90108, 59652, Villeneuve d'Ascq, France.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering. SP Fire Research, SP Technical Resesarch Institute of Sweden.ORCID iD: 0000-0002-7140-4737
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Number of Authors: 5
2017 (English)In: Journal of Analytical and Applied Pyrolysis, ISSN 0165-2370, E-ISSN 1873-250X, Vol. 124, 130-148 p.Article in journal (Refereed) Published
Abstract [en]

The modelling of the behavior of a material exposed to fire is very complex and needs the coupling of fluid dynamics, combustion, heat and mass transfer, kinetics and so forth. A growing amount of studies and numerical models are reported in this field since the last decade. The aim of these models is to predict the fire behavior of wood, charring or non-charring polymers and even intumescent materials. However, these studies are seldom applied to formulated materials and especially flame retarded materials. In this study, an ethylene-vinyl acetate copolymer was formulated with a flame retardant (aluminum tri-hydroxide) and a synergist (nanoclays). A systematic approach for the characterization of the thermo-physical properties of the material as well as of its optical properties and the heat capacity of the decomposition gases is proposed and applied in this study. It is shown that it is possible to evaluate the input data required for pyrolysis modelling, even for multi decomposition steps materials. It is also shown that the diffusion of the gases inside the material had to be considered on the opposite of the classical assumption found in other studies. Indeed, using low mass diffusivity was the sole way to predict in the same time the temperature distribution and the mass loss rate of the material in a gasification experiments.

Place, publisher, year, edition, pages
2017. Vol. 124, 130-148 p.
National Category
Building Technologies
Research subject
Steel Structures
Identifiers
URN: urn:nbn:se:ltu:diva-62205DOI: 10.1016/j.jaap.2016.12.034ISI: 000399624500015Scopus ID: 2-s2.0-85014121221OAI: oai:DiVA.org:ltu-62205DiVA: diva2:1077605
Note

Validerad; 2017; Nivå 2; 2017-04-03 (rokbeg)

Available from: 2017-02-28 Created: 2017-02-28 Last updated: 2017-11-24Bibliographically approved

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Försth, Michael

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