Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames
Aaron J. Fillo, Peter E. Hamlington, and Kyle E. Niemeyer

TL;DR
This study uses DNS to compare multicomponent and mixture-averaged models in turbulent lean premixed flames, revealing significant differences in enstrophy and flame structure due to mass diffusion modeling choices.
Contribution
It provides the first detailed DNS comparison of multicomponent versus mixture-averaged mass diffusion effects on enstrophy and flame structure in turbulent premixed flames.
Findings
Multicomponent model predicts higher peak enstrophy in the reaction zone.
Differences in viscous effects lead to notable variations in flame internal structure.
Mixture-averaged model overpredicts viscous effects in super-adiabatic regions.
Abstract
Diffusive transport of mass occurs at small scales in turbulent premixed flames. As a result, multicomponent mass diffusion, which is often neglected in direct numerical simulations (DNS) of premixed combustion, has the potential to impact both turbulence and flame characteristics at small scales. In this study, we evaluate these impacts by examining enstrophy dynamics and the internal structure of the flame for lean premixed hydrogen-air combustion, neglecting secondary Soret and Dufour effects. We performed three-dimensional DNS of these flames by implementing the Stefan-Maxwell equations in the code NGA to represent multicomponent mass transport, and we simulated statistically planar lean premixed hydrogen-air flames using both mixture-averaged and multicomponent models. The mixture-averaged model underpredicts the peak enstrophy by up to 13% in the flame front. Comparing the…
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