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Volume 49 Issue 12
Dec.  2023
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Journal of Beijing University of Aeronautics and Astronautics  > 2023  >  49(12): 3265-3282.
WANG F，YANG Z Z，HAN Y X，et al. A composite TPDF-ASOM turbulence combustion model and its validation[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3265-3282 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0073
Citation: WANG F，YANG Z Z，HAN Y X，et al. A composite TPDF-ASOM turbulence combustion model and its validation[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3265-3282 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0073
shu

A composite TPDF-ASOM turbulence combustion model and its validation

doi: 10.13700/j.bh.1001-5965.2022.0073

  • School of Energy and Power Engineering, Beihang University, Beijing 100191, China

Funds:  National Science and Technology Major Project (2017-Ⅰ-0004-0005); National Natural Science Foundation of China (91741125)
More Information
  • Corresponding author: E-mail: fwang@buaa.edu.cn
  • Received Date: 14 Feb 2022
  • Accepted Date: 19 Apr 2022
  • Publish Date: 21 Jul 2022
    Abstract

  • Advanced aero-engine combustor designs require precise control of turbulent flames, and existing simulation methods need to improve accuracy and efficiency. The probability density function transport equation (TPDF) turbulent combustion model possesses high accuracy and the algebraic second-order moment (ASOM) turbulent combustion model low simulation cost. This study uses the Da number to categorize the turbulent combustion field into “high accuracy” and “low cost” categories, which is similar to the concept of detached eddy simulation (DES). To increase overall accuracy and simulation effectiveness, the TPDF-ASOM composite turbulent combustion model (TAM) was built using the random field TPDF (high accuracy) and ASOM (low simulation cost). This paper created the ASOM model on the large eddy simulation (LES)-TPDF program platform, and further realized the TPDF-ASOM composite turbulent combustion model,which is tested by the Flame D experimental data. The results show that the prediction results of the new model match the experimental values and reconcile the accuracy and simulation efficiency.

     

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