LES modelling of turbulent non-premixed jet flames with correlated dynamic adaptive chemistry

Zaigang Liu, Wenhu Han, Wenjun Kong, Yiguang Ju

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Large eddy simulations (LES) for turbulent flames with detailed kinetic mechanisms have received growing interest. However, a direct implementation of detailed kinetic mechanisms in LES modelling of turbulent combustion remains a challenge due to the requirement of huge computational resources. An on-the-fly mechanism reduction method named correlated dynamic adaptive chemistry (CoDAC) is proposed to overcome this issue. A LES was conducted for Sandia Flame-D, with the reaction mechanism of GRI-Mech 3.0 consisting of 53 species and 325 reactions. The reduction threshold used in LES was obtained a priori by using auto-ignition model and partially stirred reactor (PaSR) with pairwise mixing model. LES results with CoDAC are in good agreement with experimental data and those without reduction. The conditional mean of the number of selected species indicates that a large size of locally reduced mechanism is required in the reaction zone where CH4 is destructed. A computational time analysis shows that the PaSR model predicts better than the auto-ignition model on the wall time reduction with CoDAC in LES.

Original languageEnglish (US)
Pages (from-to)694-713
Number of pages20
JournalCombustion Theory and Modelling
Volume22
Issue number4
DOIs
StatePublished - Jul 4 2018

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Modeling and Simulation
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Physics and Astronomy(all)

Keywords

  • Turbulent combustion
  • chemical model reduction
  • correlated dynamic adaptive chemistry
  • large eddy simulation
  • non-premixed jet flame

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