Loading...

Numerical study of ignition process in turbulent shear-less methane-air mixing layer

EidiAttarZade, M ; Sharif University of Technology | 2017

502 Viewed
  1. Type of Document: Article
  2. DOI: 10.1007/s10494-017-9818-x
  3. Publisher: Springer Netherlands , 2017
  4. Abstract:
  5. In this work, ignition process in a turbulent shear-less methane-air mixing layer is numerically investigated. A compressible large eddy simulation method with Smagorinsky sub-grid scale model is used to solve the flow field. Also, a thickened flame combustion model and DRM-19 reduced mechanism are used to compute species distribution and the heat release. Non-reacting mean and RMS axial velocity profiles and mean mixture fraction are validated against experimental data. Instantaneous mixture fraction contours show that the large bursts penetrate from the fuel stream into that of the oxidizer and vice versa and a random behaviour in the cross-stream direction. Flame kernel initiation, growth and propagation are analysed and compared with the experimental data. The ignition results show that the flame is not stable and blow-off occurs, but a more detailed investigation shows that local and short time flame stabilization exist during blow-off. During these local stabilization, heat release increased at the upstream edge of the flame. Most_upstream flame edge scalar analysis shows that the methane mass fraction has a dominant role in the local flame stabilization. OH, HO2, CH2O and heat release contours demonstration reveal that HO2 and CH2O mass fraction as well as the heat release reach a maximum on the border of the flame, but the maximum OH concentration is located in the middle of flame kernel. © 2017, Springer Science+Business Media Dordrecht
  6. Keywords:
  7. Ignition ; Large eddy simulation ; Mixing layer ; Numerical combustion ; Shearless ; Air ; Methane ; Mixing ; Mixtures ; Stabilization ; Compressible large eddy simulations ; Instantaneous mixtures ; Local stabilizations ; Mixing layers ; Numerical combustions ; Species distributions ; Sub-Grid-Scale models ; Combustion
  8. Source: Flow, Turbulence and Combustion ; Volume 99, Issue 2 , 2017 , Pages 411-436 ; 13866184 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s10494-017-9818-x