Parameterization and Validation of Pyrolysis Models for Polymeric Materials
Stoliarov, Stanislav I. Li, Jing
Parameterization and Validation of Pyrolysis Models for Polymeric Materials - ene. 2016 - 12 p. ; 79-91
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.
1
Parameterization and Validation of Pyrolysis Models for Polymeric Materials - ene. 2016 - 12 p. ; 79-91
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.
1
