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Combustion and CFD for Combustion

Authors: Thierry Poinsot;

Combustion and CFD for Combustion

Abstract

The following chapters present an overview of combustion and of CFD (Computational Fluid Dynamics) for combustion. The objective is not to repeat classical textbooks on these topics [379; 306; 288; 334; 340] but to focus on the place of instabilities in reacting flows and in CFD for reacting flows. These instabilities are found at many levels: Instabilities exist in individual flame fronts and lead to the formation of cells and of various unstable modes depending on molecular transport of chemical species and heat [379; 266]. Like any shear flow, reacting flows are submitted to hydrodynamic modes [273; 297] and to vortex formation. Acoustics play a major role in reacting flows: by coupling with heat release, they are the source of a major problem in many combustion devices: combustion instabilities [379; 340] which can induce high vibration levels and, in extreme cases, destroy combustion hardware in a few seconds. Instabilities are present in the physical problem studied but they are also present in the numerical methods used to simulate these mechanisms. Most high-fidelity numerical schemes required for Computational Fluid Dynamics exhibit low dissipation and therefore multiple non-physical instabilities (wiggles) arise which can require significant efforts to be kept under control [374; 362; 340]. Finally, CFD for reacting flows are performed today on massively parallel machines: these architectures coupled with centered schemes for turbulent flows lead to an additional type of instability linked to the growth of rounding errors and to a new type of instability where the solution depends on unexpected parameters such as the commutativity errors of addition, the initial condition or the number of processors.

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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!
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