Particle clustering in turbulent premixed flames

F. Battista, F. Picano, G. Troiani, C.M. Casciola

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Transport of inertial particles in turbulent reacting flows is frequent in a number of engineering and natural systems. Aim of this work is to illustrate the effect of the fluctuating instantaneous flame front on the particle spatial distribution. To this purpose a Direct Numerical Simulation of a Bunsen premixed flame seeded with small inertial particles is performed. The flamelet Stokes number Stfl, defined as the ratio between the particle relaxation time and the flame front time scale, is found to be the proper parameter to characterize the particle dynamics in a premixed flame. Clustering of inertial particles is apparent, especially beyond the flame front. The amount of particle segregation is here quantified by the clustering index and two distinct contributions are found to interplay. The first is independent of the particle inertia and affects also tracers. Actually it is associated to the abrupt variation of the particle concentration induced by the fluid expansion across the flame front. The second effect is mainly due to the time lag associated to the particle inertia that, in proximity of the front, affects both the mean and the fluctuation of the particle number in a fixed volume. The global effect results in an intense clustering of the inertial particles in the flame brush region with a maximum for particles with flamelet Stokes number: Stfl= O(1).

Conference

ConferenceCOST Action MP0806 International Conference on Fundamentals, Experiments, Numeric and Applications: Particles in Turbulence
CountryGermany
Period1/1/11 → …

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All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Battista, F., Picano, F., Troiani, G., & Casciola, C. M. (2011). Particle clustering in turbulent premixed flames. Paper presented at COST Action MP0806 International Conference on Fundamentals, Experiments, Numeric and Applications: Particles in Turbulence, Germany. https://doi.org/10.1088/1742-6596/333/1/012002