Pyrolysis model calibration (i.e., material property determination) exercises are organized on a non-charring material (PMMA) and a charring material: (Pine Wood). No single approach for model parameterization is suggested by this committee. In fact, a key objective of this workshop is to catalogue current approaches used to parameterize complex pyrolysis models.

This exercise involves two key components:

1. Experimentalists are asked to perform tests and share their measurement data to be made publicly available on the MaCFP GitHub Repository.
2. Modelers are asked to calibrate material property sets using this data and perform simulations of material response to heating.

No single approach for model parameterization is suggested by this committee. In fact, a key objective of this workshop is to catalogue current approaches used to parameterize complex pyrolysis models. Thus, we encourage participating labs to follow their best practices so that we may meet to discuss only the similarities and differences of our approaches and their results (i.e., final parameterization) without explicitly requiring a final validation versus a given test.

If you have experimental or computational data that you wish to contribute to this project, please:

• Set up a GitHub account
• Fork the matl-db repo
• Clone the repo to your local machine
• Add and push your files to your forked repo
• Send a pull request to MaCFP/matl-db

In lieu of spelling out the details for each of the steps above, the reader is pointed to the FDS-SMV wiki on Git Notes.

Please read the 'Section 4.3: Pyrolysis Measurements' of the Guidelines for Participation in the MaCFP-4 Workshop for further details.

Modelers are asked to calibrate material property sets using this data and perform simulations of material response to heating (0D thermal decomposition and 1D gasification).

Modelers are not provided limitations or suggestions regarding their pyrolysis model parameterization (i.e., calibration) approach; however, they are required to use either (a) at least one of the milligram-scale datasets (e.g., TGA or DSC) and one gram-scale experiment (e.g., cone calorimetry or controlled atmosphere gasification experiments), or (b) at least two of the gram-scale experiments available in the Calibration Data section of the MaCFP repository. Modelers can supplement MaCFP data with any literature data that they deem necessary (please be sure to cite any and all appropriate references, including those for measurement data found on the MaCFP Repo).

Please read the 'Section 4.4: Model Calibration, Comparison, and Validation' of the Guidelines for Participation in the MaCFP-4 Workshop for further details.