Effects of preferential concentration on the combustion of iron particles -- A numerical study with homogeneous isotropic turbulence
Shyam Hemamalini, B\'en\'edicte Cuenot, XiaoCheng Mi

TL;DR
This numerical study investigates how particle clustering due to preferential concentration affects iron particle combustion in turbulent flows, revealing extended combustion times and the significance of macrostructure and local density.
Contribution
It provides detailed insights into the impact of particle clustering on combustion duration and temperature evolution using direct numerical simulations in homogeneous isotropic turbulence.
Findings
Increasing equivalence ratio extends combustion time.
Clustered particle distributions burn slower with lower peak temperatures.
Combustion time exponentially depends on local particle density in clusters.
Abstract
Iron particles, with their non-volatile combustion mode, remain in the dispersed phase throughout the combustion process, causing the flow in a typical iron powder combustor to be particle-laden and turbulent. Preferential concentration is a phenomenon prevalent in such turbulent flows that causes particle clustering. To estimate the effects of clustering on the combustion process, direct-numerical-simulations are performed on a cubical domain with forced homogeneous isotropic turbulence. Simulations pertaining to Kolmogorov Stokes number , turbulent Reynolds number , and global equivalence ratio (considering FeO as the oxidation product) are executed. Increasing significantly extends the combustion completion time. A Poisson distribution of particles burns faster with a higher peak mean temperature. The…
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