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Assessing the impact of multicomponent diffusion in direct numerical simulations of premixed, high-Karlovitz, turbulent flames: toluene data

Schöpfer:

Fillo, Aaron J., Schlup, Jason, Blanquart, Guillaume, and Niemeyer, Kyle E.

Abstract:

This data contains results from direct numerical simulations of premixed, three-dimensional, turbulent toluene/air flames, using the multicomponent and mixture-averaged diffusion models. In particular, this dataset contains information about diffusion flux angles and magnitudes. We performed the simulations using the finite-difference code NGA; simulation details are described completely in the associated...

Resource Type:

Dataset