A Comparison of Evaluation Methodologies of the Fractal Dimension of Premixed Turbulent Flames in 2D and 3D Using Direct Numerical Simulation Data

IF 2 3区 工程技术 Q3 MECHANICS
Marco Herbert, Nilanjan Chakraborty, Markus Klein
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Abstract

A Direct Numerical Simulation (DNS) database of statistically planar flames ranging from the wrinkled flamelets to the thin reaction zones regime and DNS data for a Bunsen premixed flame representing the wrinkled flamelets regime have been utilised to evaluate the fractal dimensions of flame surfaces using the filtering dimension method, the box-counting algorithm and the correlation dimension approach. The fractal dimension evaluated based on the fully resolved three-dimensional data has been found to be reasonably approximated by adding unity to the equivalent fractal dimension evaluated based on two-dimensional projections irrespective of the methodology of extracting fractal dimension. This indicates that the flame surface can be approximated as a self-similar fractal surface for the range of Karlovitz and Damköhler numbers considered here. While all methods, provide results identical to each other for benchmark problems, it has been found that the fractal dimension evaluation based on box-counting method provides almost identical results as that obtained using the filtering dimension method for both three and two dimensions, while the fractal dimensions based on the correlation dimension tend to be slightly smaller. The findings of the current analysis have the potential to be used to reliably estimate the actual fractal dimension in 3D based on experimentally obtained 2D binarised reaction progress variable field. The inner cut-off scales estimated based on all three methodologies yield comparable results in terms of order of magnitude with the box-counting method predicting a smaller value of inner cut-off scale in comparison to other methods. The execution times for fractal dimension extraction based on filtering dimension and box-counting methodologies are found to be comparable but the correlation dimension method is found to be considerably faster than the two alternative approaches and provides results consistent with theoretical bounds in all cases.

Abstract Image

使用直接数值模拟数据对二维和三维预混合湍流火焰分形维度的评估方法进行比较
直接数值模拟(DNS)数据库包含了从褶皱小火焰到稀薄反应区的统计平面火焰,以及代表褶皱小火焰的本生预混火焰的 DNS 数据,利用过滤维度法、盒计数算法和相关维度法评估了火焰表面的分形维度。无论采用哪种分形维度提取方法,根据完全解析的三维数据评估出的分形维度都可以通过在根据二维投影评估出的等效分形维度的基础上增加一个单位而得到合理的近似值。这表明,在本文所考虑的卡尔洛维茨数和达姆克勒数范围内,火焰表面可以近似为自相似分形表面。虽然所有方法都能为基准问题提供相同的结果,但在三维和二维问题上,基于盒式计数法的分形维度评估结果与使用过滤维度法的结果几乎相同,而基于相关维度的分形维度往往略小。目前的分析结果有可能用于根据实验获得的二维二值化反应进程变量场可靠地估计三维实际分形维数。根据这三种方法估算出的内分界尺度在数量级上结果相当,与其他方法相比,盒式计数法预测的内分界尺度值较小。基于过滤维度和盒式计数法的分形维度提取的执行时间相当,但相关维度法比两种替代方法要快得多,而且在所有情况下都能提供与理论边界一致的结果。
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来源期刊
Flow, Turbulence and Combustion
Flow, Turbulence and Combustion 工程技术-力学
CiteScore
5.70
自引率
8.30%
发文量
72
审稿时长
2 months
期刊介绍: Flow, Turbulence and Combustion provides a global forum for the publication of original and innovative research results that contribute to the solution of fundamental and applied problems encountered in single-phase, multi-phase and reacting flows, in both idealized and real systems. The scope of coverage encompasses topics in fluid dynamics, scalar transport, multi-physics interactions and flow control. From time to time the journal publishes Special or Theme Issues featuring invited articles. Contributions may report research that falls within the broad spectrum of analytical, computational and experimental methods. This includes research conducted in academia, industry and a variety of environmental and geophysical sectors. Turbulence, transition and associated phenomena are expected to play a significant role in the majority of studies reported, although non-turbulent flows, typical of those in micro-devices, would be regarded as falling within the scope covered. The emphasis is on originality, timeliness, quality and thematic fit, as exemplified by the title of the journal and the qualifications described above. Relevance to real-world problems and industrial applications are regarded as strengths.
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