Merge pull request #323 from leventon/master

Parallel Panel - update heat flux measurement data and related uncertainties

Documents/MaCFP-3/Guidelines_for_Participation_MaCFP3.tex

@@ -115,7 +115,7 @@
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-Document Prepared: March 14, 2023\\
+Document Prepared: May 4, 2023\\
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@@ -285,7 +285,7 @@ \subsection{Timeline of Events in Preparation for MaCFP-3}
  & (1) New experimental data (NIST Gasification Apparatus)\\
  & (2) Ideal gasification tests (Incident heat flux, $\dot{q}^{\pp}=$10, 25, 65 ~kW~m$^{-2}$; Sample thickness, 6~mm and 12~mm)\\
 \\
-Summer 2023 & Virtual Meeting (all participants welcome):\\
+June 20, 2023 & Virtual Meeting (all participants welcome):\\
  & Present validation of pyrolysis model parameter sets based on new gasification data \\
  & Preliminary analysis - relative impact on variability in final model predictions\\
 \\
@@ -467,9 +467,9 @@ \section{Fire Growth Experiments}
 
 Fire growth modelers are asked to prepare simulations using \emph{two} pyrolysis models (i.e., two sets of material properties): the ``most average'' and ``most accurate'' models. Repeating simulations in this manner will enable a controlled analysis of the sensitivity of fire growth predictions to condensed phase material properties. Both of these pyrolysis models will be identified by their ability to predict ignition, burning rate, and heat transfer through the solid, as quantified based on model-predictions of: (a) onset time of mass loss, (b) average mass loss rate, and (c) the time at which back surface temperature reaches a critical value.
 
-First, initial model setup should be performed using a pyrolysis parameter set (i.e., material properties) that was \href{https://github.com/MaCFP/matl-db/tree/master/PMMA/Material_Properties}{originally calibrated as part of the MaCFP-2 Workshop}. Specifically, modelers will be asked to use a ``most average'' material property dataset, which will be identified based on a comparison of the predictions of the idealized gasification scenarios performed for MaCFP-2. As such, this suggested property set is not meant to be endorsed as being the most ``correct'' property set, but rather just the set of material properties that predicts the most characteristic gasification simulations of the community. This ``most average'' property dataset will be shared with participants at the virtual meeting on March 23, 2023.
+First, initial model setup should be performed using a pyrolysis parameter set (i.e., material properties) that was \href{https://github.com/MaCFP/matl-db/tree/master/PMMA/Material_Properties}{originally calibrated as part of the MaCFP-2 Workshop}. Specifically, modelers will be asked to use a ``most average'' material property dataset, which will be identified based on a comparison of the predictions of the idealized gasification scenarios performed for MaCFP-2. As such, this suggested property set is not meant to be endorsed as being the most ``correct'' property set, but rather just the set of material properties that predicts the most characteristic gasification simulations of the community. This ``most average'' property dataset was shared with participants at the virtual meeting on March 23, 2023 and it is available \href{https://github.com/MaCFP/matl-db/tree/master/PMMA/Material_Properties}{ on the condensed-phase repository, matl-db}.
 
-Next, coupled condensed- and gas-phase fire growth simulations should be performed using the pyrolysis model that participants feel best captures available validation data. The MaCFP organizing committee will not identify a unique ``best'' pyrolysis model; however, we will prepare a means to objectively rank the predictions of available pyrolysis models based on a comparison of model predictions of new gasification experiments that were conducted for model validation for the MaCFP-3 Workshop (see Sec.~\ref{Sec:Pyrolysis}). These updated material property datasets will be shared with the community in a virtual meeting (mid-summer, 2023). Again, this model comparison will be based on the same metrics defined above to assess the ability of the model to predict ignition, burning rate, and heat transfer through MaCFP-PMMA.
+Next, coupled condensed- and gas-phase fire growth simulations should be performed using the pyrolysis model that participants feel best captures available validation data. The MaCFP organizing committee will not identify a unique ``best'' pyrolysis model; however, we will prepare a means to objectively rank the predictions of available pyrolysis models based on a comparison of model predictions of new gasification experiments that were conducted for model validation for the MaCFP-3 Workshop (see Sec.~\ref{Sec:Pyrolysis}). These updated material property datasets will be shared with the community in a virtual meeting (June 20, 2023). Again, this model comparison will be based on the same metrics defined above to assess the ability of the model to predict ignition, burning rate, and heat transfer through MaCFP-PMMA.
 
 \subsection {UMD-SBI (Single Burning Item)}
 Seven experiments were performed at the University of Maryland (UMD) on the same cast black PMMA considered in the MaCFP-2 Workshop using the experimental setup, shown in Fig.~\ref{fig:UMDCornerFireSpreadSetup}. These experiments were based on the EN13823 Single Burning Item (SBI) Test~\cite{EN-13823standard}, but with symmetric panels. In these tests, two 1.46~m tall, 0.50~m wide panels of PMMA were arranged in a corner wall configuration. Panels were ignited 3.5~cm above their base by a 30~kW, triangular propane sand burner and the wall flame was allowed to spread upwards until measured HRR reached 300~kW. Once the HRR exceeded this threshold value, the propane burner (ignition source) was turned off and the flame was extinguished.
@@ -597,7 +597,7 @@ \section{Summary}
 
 Although no limitations are provided regarding pyrolysis model calibration approach, all submitted models 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 \href{https://github.com/MaCFP/matl-db/tree/master/PMMA/Calibration_Data}{Calibration\_Data section} of the MaCFP repository. Modelers can supplement MaCFP data with any literature data that they deem necessary. 
 
-Modelers are asked to provide (a) simulations of validation experiments using MaCFP-2 property sets and (b) if needed, to provide updated material property datasets (if needed) by June 1, 2023. These updated material property datasets will be shared (and their predictive accuracy assessed) with the community in a virtual meeting (mid-summer, 2023).\\
+Modelers are asked to provide (a) simulations of validation experiments using MaCFP-2 property sets and (b) if needed, to provide updated material property datasets (if needed) by June 1, 2023. These updated material property datasets will be shared (and their predictive accuracy assessed) with the community in a virtual meeting (June 20, 2023).\\
 
 \textbf{Coupled Condensed- and Gas-Phase:}\\
 New measurement data has been provided for validation of fire growth simulations (flame spread over MaCFP-PMMA; a coupled condensed- and gas-phase scenario). Specifically, HRR, wall flame heat flux, and heat flux at a distance were recorded during upward flame spread over (a) 1.46~m tall PMMA walls in a corner configuration and (b) 2.44~m tall PMMA walls in a parallel panel configuration.