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 evolution of the mean temperature in the combustion of the clustered distribution is smooth and results in a smaller peak value. However, the total combustion time of a clustered distribution is significantly extended, by up to eight times at and . Analysis of the Voronoi volumes at the start of combustion shows that particles in highly dense regions burn longer, as seen before in the literature. Furthermore, the combustion time exhibits a strong exponential dependence on in the cluster'' regions, and an asymptotic behavior in the void’’ regions. However, significant spread is observed in the correlation. Time-averaging does not minimize this variation considerably. Analysis of the macroscale depletion zone indicates the importance of the macrostructure – proximity of multiple clusters – on the extension of the combustion time.

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