arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.11337physics.flu-dyn
收藏

适用于广泛条件下平面火焰和Bunsen火焰湍流燃烧速度的预测模型

A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions

Zhen Lu, Yue Yang

AI总结:

提出一种无自由参数的湍流燃烧速度代数预测模型,包含拉伸因子与火焰面积子模型,经285例直接数值模拟与实验验证,平均误差25.3%,适用条件广泛。

摘要:

我们提出了一种适用于广泛条件的湍流燃烧速度预测模型。该模型由拉伸因子子模型和湍流火焰面积子模型组成。拉伸因子表征了湍流拉伸的火焰响应,并结合了基于层流对冲火焰查找表的详细化学和输运效应。火焰面积模型基于传播表面的拉格朗日统计捕捉面积增长,并考虑了湍流长度尺度和燃料特性的影响。本模型通过无自由参数的代数表达式预测湍流燃烧速度。它针对不同研究小组报告的285例平面火焰和Bunsen火焰直接数值模拟或实验案例进行了验证,条件覆盖广泛,包括从氢气到正十二烷的燃料、1至20 atm的压力、贫燃与富燃混合物、0.35至110的湍流强度比,以及0.5至80的湍流长度比。综合比较表明,所提出的湍流燃烧速度模型在广泛条件下总体吻合良好,平均建模误差为25.3%。此外,模型预测包含对模型参数和化学动力学的量化不确定性,以扩展模型的适用性。

英文摘要:

We propose a predictive model of the turbulent burning velocity over a wide range of conditions. The model consists of sub models of the stretch factor and the turbulent flame area. The stretch factor characterizes the flame response of turbulence stretch and incorporates effects of detailed chemistry and transport with a lookup table of laminar counterflow flames. The flame area model captures the area growth based on Lagrangian statistics of propagating surfaces, and considers effects of turbulence length scales and fuel characteristics. The present model predicts the turbulent burning velocity via an algebraic expression without free parameters. It is validated against 285 cases of the direct numerical simulation or experiment reported from various research groups on planar and Bunsen flames over a wide range of conditions, covering fuels from hydrogen to n-dodecane, pressures from 1 to 20 atm, lean and rich mixtures, turbulence intensity ratios from 0.35 to 110, and turbulence length ratios from 0.5 to 80. The comprehensive comparison shows that the proposed turbulent burning velocity model has an overall good agreement over the wide range of conditions, with the averaged modeling error of 25.3%. Furthermore, the model prediction involves the uncertainty quantification for model parameters and chemical kinetics to extend the model applicability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑