Binomial mixing model for premixed reacting turbulent flows applied to autoignition

被引:0
|
作者
Hee-Jang Moon
机构
[1] Korea Institute of Aerospace Technology,
来源
KSME International Journal | 1998年 / 12卷
关键词
Direct Numerical Simulation; Premixed Flame; PDF; Molecular Mixing;
D O I
暂无
中图分类号
学科分类号
摘要
A turbulent mixing model based on a stochastic process using a binomially distributed random variable is presented and tested in a premixed decaying turbulent flow. Attention is focused on the joint probability density function (PDF) of reactive and inert scalar that are calculated by the PDF transport equation. The numerical work under study is applied to a field similar to autoignition in which the initial medium is composed of partially burnt gas distributed within the fresh mixture. Three dimensional direct numerical simulation has been performed in order to check the prediction capability of the model whose results showed an excellent agreement with the data from numerical experiments. The joint PDF distribution calculated by the binomial model demonstrates that binomial sampling process successfully describes the realistic features of the PDF evolution.
引用
收藏
页码:320 / 329
页数:9
相关论文
共 50 条
  • [41] A parallel solution - adaptive method for three-dimensional turbulent non-premixed combusting flows
    Gao, Xinfeng
    Groth, Clinton P. T.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2010, 229 (09) : 3250 - 3275
  • [42] Vortex model of plane turbulent air flows in channels
    Mironov, Victor L.
    Mironov, Sergey V.
    ADVANCES IN AERODYNAMICS, 2024, 6 (01)
  • [43] Probability model for gravel sediment entrainment in turbulent flows
    Ma, Jianmin M.
    Xu, Dong
    Bai, Yuchuan C.
    Williams, John J. R.
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2013, 7 (03) : 154 - 160
  • [44] A dynamic SGS combustion model based on fractal characteristics of turbulent premixed flames
    Yoshikawa, Itaru
    Shim, Young-Sam
    Nada, Yuzuru
    Tanahashi, Mamoru
    Miyauchi, Toshio
    PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2013, 34 : 1373 - 1381
  • [45] On a consistent high-order finite difference scheme with kinetic energy conservation for simulating turbulent reacting flows
    Trisjono, Philipp
    Kang, Seongwon
    Pitsch, Heinz
    JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 327 : 612 - 628
  • [46] Machine learning assisted modeling of mixing timescale for LES/PDF of high-Karlovitz turbulent premixed combustion
    Liu, Jinlong
    Wang, Haifeng
    COMBUSTION AND FLAME, 2022, 238
  • [47] LES/PDF modeling of autoignition in a lifted turbulent flame: Analysis of flame sensitivity to differential diffusion and scalar mixing time-scale
    Han, Wang
    Raman, Venkat
    Chen, Zheng
    COMBUSTION AND FLAME, 2016, 171 : 69 - 86
  • [48] DNS predictions of NOx production in developing turbulent mixing layers with non-premixed hydrogen-air combustion
    Ohta, Takashi
    Hirata, Ryota
    Sakai, Yasuyuki
    JOURNAL OF TURBULENCE, 2022, 23 (11-12): : 636 - 654
  • [49] Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames
    Fillo, Aaron J.
    Hamlington, Peter E.
    Niemeyer, Kyle E.
    COMBUSTION THEORY AND MODELLING, 2022, 26 (04) : 712 - 727
  • [50] Scalar Gradient and Strain Rate Statistics in Oblique Premixed Flame-Wall Interaction Within Turbulent Channel Flows
    Ahmed, Umair
    Chakraborty, Nilanjan
    Klein, Markus
    FLOW TURBULENCE AND COMBUSTION, 2021, 106 (02) : 701 - 732