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Towards the Enhancement of Aircraft Cargo Compartment Fire Detection System Certification using Smoke Transport Modeling Walt Gill and Jill Suo-Anttila.

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Presentation on theme: "Towards the Enhancement of Aircraft Cargo Compartment Fire Detection System Certification using Smoke Transport Modeling Walt Gill and Jill Suo-Anttila."— Presentation transcript:

1 Towards the Enhancement of Aircraft Cargo Compartment Fire Detection System Certification using Smoke Transport Modeling Walt Gill and Jill Suo-Anttila Fire Science and Technology Department Sandia National Laboratories Albuquerque, NM David Blake Fire Safety Section FAA Technical Center International Fire and Cabin Safety Research Conference November 2004 Sandia is a multi-program laboratory operated by Sandia Corporation, a Lockheed-Martin Company, for the United States Department of Energy under Contract DE-AC04-94AL85000.

2 Sandia National Laboratories Team Members Experimental –David Blake, Walt Gill, and Jill Suo-Anttila Model Development –Jim Nelsen and Stefan Domino Graphical User Interface and Code Development –Carlos Gallegos Technical Support –Louis Gritzo, manager of the Fire Science and Technology Department

3 Modeling Smoke Transport in Aircraft Cargo Compartments Goal: Develop a CFD-based simulation tool to predict smoke transport in cargo compartments Improve the certification process – Identify optimum smoke detector locations – Specify sensor alarm levels – Identify most challenging fire locations – Reduce the number of flight tests Fast running Suitable for non-expert users Experimental data for source term characterization from FAA experiments Validated using FAA full-scale experiments Built on firm FAA knowledge base Validated using FAA experiments Airlines, Air-Framers, Certifiers Robust and fast running

4 Software Design Graphical User Interface Pre-Processor Analysis Module Post-Processor

5 Pre-Processor Overview Provide models for different aircraft Boeing 707, 727, 747, etc. User defined Capabilities Refine mesh Enter fire(s) location and type Enter ventilation velocities and locations Enter compartment temperature and pressure Add obstacles and recessed areas Instantaneous visual feedback

6 Running a Simulation Compartment and Mesh Specification Execute the Pre-Processor Select the type of compartment –707 –DC-10 –User Defined Input the dimensions Enter the mesh size - # of nodes custom 707 or DC-10

7 Running a Simulation Created 707 and DC-10 Meshes Automatically generated 707 mesh Curvature captured by mesh Right side of screen shows selected plane Automatically generated DC-10 mesh Internal view of compartment

8 Running a Simulation Recessed Area Specification 1.Advance to selected Y-plane 2.Select desired cells 3.Perform operation using buttons 1 2 3

9 Running a Simulation Obstacle Specification Obstacle Recessed Area

10 Running a Simulation Ventilation and Fire Specification 1.Select cells 2.Enter type of cell (inlet, outlet, fire) – cell colored to denote type 3.Use table to enter ventilation properties 4.Fire properties in file 3 1 2 Fire Inlet Outlet

11 Running a Simulation Mesh Refinement Specification 1.Select the plane for refinement 2.Use refinement tool 3.Enter level of refinement 12 3 Resulting Grid

12 Running a Simulation Running the Analysis Code Analysis - - - Run Analysis Status monitored on screen

13 Smoke Transport Analysis Code Curvature of compartment is resolved on grid HRR, MLR are time varying inputs (as measured in FAA experiments) Species tracking: presently soot, CO, and CO 2 but addition of more or different species possible Simulation time = 1 hour per minute of real time Validated using FAA full-scale experiments computational grid cell on wall Temp (K)

14 Post-Processor Allow users to manipulate data in a variety of ways contour plots time history of field variables 3D smoke visualization in time

15 Code Validation Metrics Insert most recent movie of temperature distribution Thermocouple temperature rise –0 - 60 seconds –0 -120 seconds –0 -180 seconds Light transmission –30 and 45 sec (ceiling and vertical) –60 sec (vertical - high, mid, low) –120 sec (vertical - mid and low) –180 sec (vertical - mid and low) Gas species concentration rises –0 - 60 seconds –0 -120 seconds –0 -180 seconds Experimental ceiling temperature distribution at 60 sec Computational temperature distribution at 60 sec

16 Status of FAA Full-Scale Validation Experiments Insert most recent movie of temperature distribution 707 experiments completed –Baseline – center fire –Attached – sidewall fire –Corner – corner fire –Determined leakage ventilation had no impact on data –All 707 experiments were conducted without ventilation DC-10 experiments –Ventilation validation

17 707 Validation Simulations Insert most recent movie of temperature distribution Interface described used to create mesh and run simulation Results and comparisons follow Internal view (showing fire and recessed areas) of 707 computational domain 707 Baseline computational mesh

18 Preliminary Validation – Temperature Insert most recent movie of temperature distribution Baseline 707 experiments –center fire –40 thermocouples –Model including heat transfer to the ceiling and walls –h=7 W/m 2 K in model Comparison –Trends captured –Magnitudes predicted away from fire –Magnitudes agree above fire better at early times

19 Preliminary Validation – Light Transmission Insert most recent movie of temperature distribution Baseline 707 experiments –center fire –6 smoke meters Comparison –Good agreement in trends and magnitudes

20 Continue validation of the smoke transport code –Finish code modifications –707 validation comparisons –DC-10 validation comparison Release of code to small user community –Includes theory and users manual –Tutorial at FCS conference Revisions and final release of code (Summer ’05) Future Activities

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