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Identification of Flame Regimes in Partially Premixed Combustion from a Quasi-DNS Dataset

Thorsten Zirwes, Feichi Zhang, Peter Habisreuther, Maximilian Hansinger, H. Bockhorn, Michael Pfitzner, Dimosthenis Trimis

2020Flow Turbulence and Combustion42 citationsDOIOpen Access PDF

Abstract

Abstract Identifying combustion regimes in terms of premixed and non-premixed characteristics is an important task for understanding combustion phenomena and the structure of flames. A quasi-DNS database of the compositionally inhomogeneous partially premixed Sydney/Sandia flame in configuration FJ-5GP-Lr75-57 is used to directly compare different types of flame regime markers from literature. In the simulation of the flame, detailed chemistry and diffusion models are utilized and no turbulence and combustion models are used as the flame front and flow are fully resolved near the nozzle. This allows evaluating the regime markers as a post-processing step without modeling assumptions and directly comparing regime markers based on gradient alignment, drift term analysis and gradient free regime identification. The goal is not to find the correct regime marker, which might be impossible due to the different set of assumptions of every marker and the generally vague definition of the partially premixed regime itself, but to compare their behavior when applied to a resolved turbulent flame with partially premixed characteristics.

Topics & Concepts

CombustionPremixed flameTurbulenceMechanicsFlame structureNozzleDiffusion flameDiffusionFlame frontIdentification (biology)Statistical physicsPhysicsChemistryThermodynamicsCombustorPhysical chemistryBiologyBotanyCombustion and flame dynamicsAdvanced Combustion Engine TechnologiesFire dynamics and safety research
Identification of Flame Regimes in Partially Premixed Combustion from a Quasi-DNS Dataset | Litcius