Conditional space evaluation of progress variable definitions for Cambridge/Sandia swirl flames

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS
N. Sekularac, X. Fang, W. Bushe, M. Davy
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Abstract

Data from all spatial locations of nine turbulent flames in the Cambridge/Sandia swirl database are combined to study how the choice of scalar variables in conditional moment closure (CMC) type approaches affect the conditional spatial fluctuations of reactive scalars. In order to investigate the influence of swirl and stratification, two additional data-sets have been constructed. Principal component analysis (PCA) is applied to help identify the number of scalar variables and the most appropriate choices to describe the composition space. Two PCA scaling methods have been adopted, namely Pareto and Auto-scaling. Regardless of the data-set investigated and the scaling method used, the results suggest that a single principal component correlated with temperature accounted for the largest variance. For the first moment hypothesis, four progress variable, c, definitions identified by PCA are selected as conditioning variables to investigate the conditional fluctuations and normalised RMS of various species and temperature from all three databases at all axial locations. The results indicate that two control variables based on mixture fraction, Z, and progress variable significantly reduce the conditional fluctuations of scalars compared to a single variable. The selection of progress variables had minimal effects on the RMS of conditional fluctuations for all tested conditions, although a slight reduction of conditional fluctuations was found for the temperature-based progress variable, which can potentially help the further extension of CMC-based models in different flame configurations. The present study also shows that using Z and c (regardless of its definition) as two conditioning scalars enables the detachment of the thermo-chemical state from space, swirl and stratification effects. This suggests that adopting a doubly conditioned source term estimation (DCSE) approach might successfully predict the considered set of flames, assuming that ensembles are divided along the axial direction.
剑桥/桑迪亚漩涡火焰进展变量定义的条件空间评价
结合剑桥/桑迪亚涡流数据库中9个湍流火焰的所有空间位置数据,研究了条件矩闭(CMC)型方法中标量变量的选择如何影响反应标量的条件空间波动。为了研究旋流和分层的影响,我们构建了两个额外的数据集。应用主成分分析(PCA)来帮助确定标量变量的数量和描述组合空间的最合适选择。采用了两种PCA尺度变换方法,即Pareto和Auto-scaling。无论调查的数据集和使用的标度方法如何,结果表明,与温度相关的单一主成分占最大的方差。在第一矩假设中,选取由主成分分析(PCA)确定的四个进程变量c作为条件变量,研究三个数据库在所有轴向位置上不同物种和温度的条件波动和归一化均方根。结果表明,与单一变量相比,基于混合分数的两个控制变量Z和进度变量显著降低了标量的条件波动。在所有测试条件下,进度变量的选择对条件波动的均方根影响最小,尽管基于温度的进度变量的条件波动略有减少,这可能有助于进一步扩展基于cmc的模型在不同火焰配置下的应用。本研究还表明,使用Z和c(无论其定义如何)作为两个调节标量,可以使热化学状态脱离空间、旋流和分层效应。这表明,采用双条件源项估计(DCSE)方法可能成功地预测考虑的火焰集,假设集合沿轴向划分。
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来源期刊
Combustion Theory and Modelling
Combustion Theory and Modelling 工程技术-工程:化工
CiteScore
3.00
自引率
7.70%
发文量
38
审稿时长
6 months
期刊介绍: Combustion Theory and Modelling is a leading international journal devoted to the application of mathematical modelling, numerical simulation and experimental techniques to the study of combustion. Articles can cover a wide range of topics, such as: premixed laminar flames, laminar diffusion flames, turbulent combustion, fires, chemical kinetics, pollutant formation, microgravity, materials synthesis, chemical vapour deposition, catalysis, droplet and spray combustion, detonation dynamics, thermal explosions, ignition, energetic materials and propellants, burners and engine combustion. A diverse spectrum of mathematical methods may also be used, including large scale numerical simulation, hybrid computational schemes, front tracking, adaptive mesh refinement, optimized parallel computation, asymptotic methods and singular perturbation techniques, bifurcation theory, optimization methods, dynamical systems theory, cellular automata and discrete methods and probabilistic and statistical methods. Experimental studies that employ intrusive or nonintrusive diagnostics and are published in the Journal should be closely related to theoretical issues, by highlighting fundamental theoretical questions or by providing a sound basis for comparison with theory.
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