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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Pyrolysis Model Data Set Contribution for the MaCFP-3 Workshop October 2023

Authors: Hehnen, Tristan; Arnold, Lukas;

Pyrolysis Model Data Set Contribution for the MaCFP-3 Workshop October 2023

Abstract

Pyrolysis model data set contribution for the MaCFP-3 workshop October 2023 The contributions are also available via the materials database MaCFP git repository. For the inverse modelling in general, please see the manuscript "PMMA Pyrolysis Simulation -- from Micro- to Real-Scale" There are three different ZIP archives provided: "MaCFP_Gasification" contains the simulations reproducing the NIST Gasification Apparatus for validation of the parameter sets, as requested per MaCFP. There are three different runs conducted, two for the originally submitted parameter sets (BUW-FZJ Approach A/B). No changes to the parameter sets are conducted. A new parameter set is provided to the MaCFP repository (BUW-FZJ PMMA01) and its validation simulations are provided as well. Furthermore, Jupyter notebooks are provided to process the simulation data. "PyrolysisKinetics_PMMA01" contains the inverse modelling run to determine the pyrolysis reaction kinetics. "Thermophysical_PMMA01" contains the inverse modelling run to determine the thermophysical parameters.

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Keywords

PMMA, Pyrolysis, Cone calorimeter, PROPTI, FDS, MaCFP-3

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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