Abstract
Improvements to the existing Eulerian-Lagrangian two-phase dilute spray model, referred to as Vulcan, are required in order to handle high mass loadings or very small solid particles. Such flows are relevant to modern fire-suppression techniques among other applications. These improvements include developing a new treatment for efficiently integrating small particles, a new subcycling time-step selection algorithm for the time-splitting solution technique, and a new treatment for placement of the two-way coupling source terms on the fluid grid. Despite the added complexity of these modifications, performance tuning of the code was also performed so that the solution speed is either equivalent to or faster than the previous code, depending on particle size. The new algorithms are applied to predicting suppressant distribution from a Goodrich-244 fire-suppression system in a simulated aircraft cargo bay. Results using these new algorithms indicate that the larger particles found in the Goodrich-244 suppressant disperse more uniformly throughout the aircraft cargo bay, although a large fraction of these particles adhere to the side walls before being delivered to the fire. Buoyancy of the hot combustion products was found to inhibit particle dispersion, and to generate large unwanted convective heat fluxes to the roof of the cargo bay.
Original language | English |
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Pages (from-to) | 118-142 |
Number of pages | 25 |
Journal | Numerical Heat Transfer, Part B: Fundamentals |
Volume | 53 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2008 Feb |
Bibliographical note
Funding Information:Sandia National Laboratories (SNL) is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under Contract DE-AC04-94AL85000. The second author acknowledges that this work was partially supported by a Korea Research Foundation Grant funded by the Korean Government (MOEHRD), KRF-2007-331-D00061.
ASJC Scopus subject areas
- Numerical Analysis
- Modelling and Simulation
- Condensed Matter Physics
- Mechanics of Materials
- Computer Science Applications