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@ARTICLE{Hehnen:1015150,
author = {Hehnen, Tristan and Arnold, Lukas},
title = {{PMMA} pyrolysis simulation – from micro- to real-scale},
journal = {Fire safety journal},
volume = {141},
issn = {0378-7761},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2023-03555},
pages = {103926 -},
year = {2023},
abstract = {In fire spread simulations, heat transfer and pyrolysis are
processes to describe the thermal degradation of solid
material. In general, the necessary material parameters
cannot be directly measured. They are implicitly deduced
from micro- and bench-scale experiments, i.e.
thermogravimetric analysis (TGA), micro-combustion (MCC) and
cone calorimetry. Using a complex fire model, an inverse
modelling process (IMP) is capable to find parameter sets,
which are able to reproduce the experimental results. In the
real-scale, however, difficulties arise predicting the fire
behaviour using the deduced parameter sets. Here, we show an
improved model to fit data of multiple small scale
experiment types. Primarily, a gas mixture is used to model
an average heat of combustion for the surrogate fuel. The
pyrolysis scheme is using multiple reactions to match the
mass loss (TGA), as well as the energy release (MCC).
Additionally, a radiative heat flux map, based on higher
resolution simulations, is used in the cone calorimeter
setup. With this method, polymethylmetacrylate (PMMA)
micro-scale data can be reproduced well. For the
bench-scale, IMP setups are used differing in cell size and
targets, which all lead to similar and good results. Yet,
they show significantly different performance in the
real-scale parallel panel setup.},
cin = {IAS-7},
ddc = {690},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001078382000001},
doi = {10.1016/j.firesaf.2023.103926},
url = {https://juser.fz-juelich.de/record/1015150},
}