A new perspective on modelling passive scalar conditional mixing statistics in turbulent spray flames
, , und .
Combust. Flame (2019)

Carrier-phase direct numerical simulations (CP-DNS) are performed for turbulent spray combustion. The CP-DNS database is used to evaluate scaling laws for modelling characteristic mixing quantities, such as the mixture fraction conditional scalar dissipation, Nf, and its probability density function (PDF or Pf) in inter-droplet space. Three different methods to process the input parameters for the scaling laws are evaluated. If conditionally averaged quantities are used as input, the models can better capture (1) the scalar dissipation’s exponential increase for larger mixture fraction values and (2) the overall shape of the mixture fraction distribution featuring a distinct secondary peak at stoichiometry that results from increased droplet evaporation in regions where the flame is located. It is also found that the scaling laws provide acceptable estimates independent of droplet equivalence ratio, droplet pre-evaporation rate, spray combustion regime, droplet Stokes number, droplet size and large turbulence scale. This study provides a more physical perspective to the understanding of the mixing in spray combustion. The scaling laws for turbulent micro-mixing may have better predictive capability than the existing sub-models for single phase combustion used in flamelet and conditional moment closure (CMC) approaches that provide sub-grid closures for turbulence-chemistry interactions in LES or RANS.
  • @itv-puma
Diese Publikation wurde noch nicht bewertet.

Durchschnittliche Benutzerbewertung0,0 von 5.0 auf Grundlage von 0 Rezensionen
    Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.