| Turbulent combustion, or, more generally, turbulent reacting flows, is a phenomenon of importance in both nature and technology. A principal goal of this as research field is to establish an accurate approach to account for coupling between turbulent mixing and chemical reaction; i.e., turbulence enhances the mixing of chemical species, leading to effective reaction. On the other hand, if turbulent mixing is too strong, reaction is terminated due to rapid cooling of the reacting zone. Present-day modeling approaches aim at describing large-scale (or ensemble-averaged) distributions of chemical species due to limitations of computer speed and resources; their accuracy depends critically on the modeling of mixing and reaction at unresolved small scales. Among many approaches, fluid particle tracking methods (or Lagrangian implementation of probability density methods) show considerable promise; the coupling between mixing and reaction at the unresolved scale is described by the time history of fluid particle composition. This work contributes to modeling of the fluid particle history in turbulent reacting flows using the data obtained direct numerical simulations of turbulent reacting flows. |
