Improving freight fire safety : experiment testing and computer modeling to further development of mist-controlling additives for fire mitigation.
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2012-08-01
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Edition:Final report.
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Abstract:With the purpose to minimize or prevent crash-induced fires in road and rail transportation, the
current interest in bio-derived and blended transportation fuels is increasing. Based on two years
of preliminary testing and analysis, it appears to be clear that polymeric additives may be added
to diesel fuel to mitigate the formation of fine mists while allow regular flow through the fuel
system. In this work, computer modeling was adapted as a fast and cost-effective methodology to
identify the target range where polymeric additives could impact the shear-thickening effect on
fuels. The Volume of Fraction (VOF) method was used within the commercial software Fluent to
compute droplet behavior. Two new computational models, the combined SCA-DCA model with
Jiang’s correlation and the SCA-DCA model with exponential fitting, were proposed and
imposed as the boundary conditions, showing a best-fit behavior with the experiment results.
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