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A near-exact analytic solution of progress variable and pdf for single-step Arrhenius chemistry

机译:用于单步Arhenius化学的进度变量和PDF的近乎精确的分析解决方案

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A new chemical reaction rate source term in the transport equation of a single progress variable is proposed and implications for premixed flame modelling are discussed. This surrogate source term approximates the Arrhenius one over a large range of activation energies and density ratios almost perfectly. An analytic, invertible flame profile and the corresponding 1D laminar flame pdf are derived. The laminar flame Eigenvalue is evaluated analytically for unity and non-unity Lewis number and compared to classical results. A method to evaluate the progress variable pdf from DNS data is introduced. It is based on regularized delta functions and a transformation of the DNS progress variable field with the inverse of the 1D laminar flame profile, which behaves like a signed distance function. The pdf factorizes into the flat flame pdf, a geometrical wrinkling factor and a correction factor accounting for changes in the inner flame structure. The pdfs of RANS-like filter volumes and their ingredients are evaluated from DNS datasets of statistically flat turbulent flames featuring different turbulence intensity levels. For all DNS cases the wrinkling and correction factors vary little with progress variable. The wrinkling factor rises with turbulence intensity. The pdf is similar to that of a 1D laminar flame pdf, scaled by the wrinkling factor. Opportunities for improvements to premixed turbulent flame modelling are discussed.(c) 2020 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:提出了一种新的化学反应速率源期在单进步变量的传输方程中,并讨论了对预混火焰建模的影响。该替代源期限几乎完美地近似于大范围的激活能量和密度比率。衍生分析,可逆的火焰轮廓和相应的1D层状火焰PDF。层状火焰特征值被分析地评估统一和非团结lewis数,并与古典结果进行比较。引入了评估DNS数据的进度变量PDF的方法。它基于正则化的Δ功能和DNS进度变量字段的转换,其与1D层状火焰配置文件的逆,其行为类似于符号距离功能。 PDF分解成扁平火焰PDF,几何皱纹因子和校正因子占内火焰结构的变化。从具有不同湍流强度水平的统计上平坦的湍流火焰的DNS数据集评估RAN样过滤器体积及其成分的PDF。对于所有DNS案例,皱纹和校正因子的进展变量略微不同。皱纹因子随着湍流强度而上升。 PDF类似于由皱纹因子缩放的1D层状火焰PDF的PDF。讨论了改进预混湍流火焰建模的机会。(c)2020燃烧研究所。由elsevier Inc.保留所有权利发布。

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