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Large Eddy Simulations of biodiesel spray flames using Flamelet Generated Manifolds

Authors: Sula, Constantin; Grosshans, Holger; Papalexandris, Miltiadis; 73rd Annual Meeting of the APS Division of Fluid Dynamics;

Large Eddy Simulations of biodiesel spray flames using Flamelet Generated Manifolds

Abstract

In this work, we report on Large-Eddy Simulations of biodiesel spray combustion. An Eulerian-Lagrangian approach is used to handle the motion of the gaseous and liquid phases. Further, the Flamelet Generated Manifolds (FGM) technique accounts for the turbulence-chemistry interaction. For the breakup of the fuel droplets, we utilize our modified version of the Taylor Analogy Breakup model and evaluate its impact on the overall combustion process. The numerical setup follows closely the Spray A operating condition defined by the Engine Combustion Network. However, the fuel used in our simulations is methyl butanoate, which is a suitable candidate to represent the ester content in biodiesel surrogates. By comparison with standard benchmarks, we determine the potential of the implemented numerical approach to evaluate spray combustion of new sustainable fuel types.

Country
Belgium
Related Organizations
Keywords

spray combustion, turbulent flames, turbulent combustion, Large Eddy Simulations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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