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Parameterization and Validation of Pyrolysis Models for Polymeric Materials

By: Language: Inglés Publication details: ene. 2016Description: 12 p. ; 79-91 In: Fire Technology 52Summary: Transcripción del resúmen realizada por el autor: A methodology for parameterization of pyrolysis models for polymeric solids is proposed. This methodology is based on a series of experiments including thermogravimetric analysis, differential scanning calorimetry, infrared radiation absorption measurement and controlled atmosphere, radiation-driven gasification experiments involving simultaneous sample mass and temperature monitoring. These experiments are interpreted using a transient pyrolysis model run in an infinitely fast (0D) and one-dimensional (1D) transport modes to derive a complete property set. This property set is subsequently validated by comparing the mass loss rate histories obtained from the gasification experiments to the model predictions. For a range of previously studied materials, these predictions were found to be, on average, within 10 to 20% of the experimental values. This manuscript provides an overview of this methodology, accompanied by examples of its application, identifies its imitations and suggests paths for future development.
Item type: Artículo de Revista
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Biblioteca Alejandro Angel Bulgheroni Not for loan 200061889

Transcripción del resúmen realizada por el autor: A methodology for parameterization of pyrolysis models for polymeric solids is proposed. This methodology is based on a series of experiments including thermogravimetric analysis, differential scanning calorimetry, infrared radiation absorption measurement and controlled atmosphere, radiation-driven gasification experiments involving simultaneous sample mass and temperature monitoring. These experiments are interpreted using a transient pyrolysis model run in an infinitely fast (0D) and one-dimensional (1D) transport modes to derive a complete property set. This property set is subsequently validated by comparing the mass loss rate histories obtained from the gasification experiments to the model predictions. For a range of previously studied materials, these predictions were found to be, on average, within 10 to 20% of the experimental values. This manuscript provides an overview of this methodology, accompanied by examples of its application, identifies its imitations and suggests paths for future development.

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