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In fire spread simulations, heat transfer and pyrolysis are processes todescribe the thermal degradation of solid material. In general, the necessarymaterial parameters cannot be directly measured. They are implicitly deducedfrom micro- and bench-scale experiments, i.e. thermogravimetric analysis (TGA),micro-combustion (MCC) and cone calorimetry. Using a complex fire model, aninverse modelling process (IMP) is capable to find parameter sets, which areable to reproduce the experimental results. In the real-scale, however,difficulties arise predicting the fire behaviour using the deduced parametersets. Here, we show an improved model to fit data of multiple small scaleexperiment types. Primarily, a gas mixture is used to model an average heat ofcombustion for the surrogate fuel. The pyrolysis scheme is using multiplereactions to match the mass loss (TGA), as well as the energy release (MCC).Additionally, a radiative heat flux map, based on higher resolutionsimulations, is used in the cone calorimeter setup. With this method,polymethylmetacrylate (PMMA) micro-scale data can be reproduced well. For thebench-scale, IMP setups are used differing in cell size and targets, which alllead to similar and good results. Yet, they show significantly differentperformance in the real-scale parallel panel setup.

PMMA Pyrolysis Simulation -- from Micro- to Real-Scale