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Numerical simulation of the mass loss process in pyrolizing char materials

Numerical simulation of the mass loss process in pyrolizing char materials

Jia, F., Galea, E.R. and Patel, M.K. (1999) Numerical simulation of the mass loss process in pyrolizing char materials. Fire and Materials, 23 (2). pp. 71-78. ISSN 0308-0501 (Print), 1099-1018 (Online) (doi:10.1002/(SICI)1099-1018(199903/04)23:2<71::AID-FAM672>3.0.CO;2-5)

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Abstract

We present here a decoupling technique to tackle the entanglement of the nonlinear boundary condition and the movement of the char/virgin front for a thermal pyrolysis model for charring materials. Standard numerical techniques to solve moving front problems — often referred to as Stefan problems — encounter difficulties when dealing with nonlinear boundaries. While special integral methods have been developed to solve this problem, they suffer from several limitations which the technique described here overcomes. The newly developed technique is compared with the exact analytical solutions for some simple ideal situations which demonstrate that the numerical method is capable of producing accurate numerical solutions. The pyrolysis model is also used to simulate the mass loss process from a white pine sample exposed to a constant radiative flux in a nitrogen atmosphere. Comparison with experimental results demonstrates that the predictions of mass loss rates and temperature profile within the solid material are in good agreement with the experiment.

Item Type: Article
Additional Information: [1] CMS Ref. No: 99/18
Uncontrolled Keywords: pyrolysis model, charring materials
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/177

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