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Machine learning assisted modeling of mixing timescale for LES/PDF of high-Karlovitz turbulent premixed combustion

  • Published:2022-04 Issue: Volume:238 Page:111895
  • ISSN:0010-2180
  • Container-title:Combustion and Flame
  • language:en
  • Short-container-title:Combustion and Flame

Author:

Liu Jinlong,Wang HaifengORCID

Funder

Office of Energy Efficiency and Renewable Energy

U.S. Department of Energy

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Reference37 articles.

1. Petascale direct numerical simulation of turbulent combustion-fundamental insights towards predictive models;Chen;Proc. Combust. Inst.,2011

2. Turbulent Combustion;Peters,2000

3. Turbulent combustion modeling;Veynante;Prog. Energy Combust. Sci.,2002

4. PDF methods for turbulent reactive flows;Pope;Prog. Energy Combust. Sci.,1985

5. Computations of turbulent combustion: progress and challenges;Pope;Proc. Combust. Inst.,1990
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