论文标题
评估多组分扩散在预混合,高卡洛维茨的直接数值模拟中的影响
Assessing the impact of multicomponent diffusion in direct numerical simulations of premixed, high-Karlovitz, turbulent flames
论文作者
论文摘要
在数值燃烧研究中实施多组分扩散模型在计算上是昂贵的。为了降低成本,数值模拟通常使用混合物平均扩散处理或更简单的模型。但是,尚未验证三维,湍流,预混合的火焰的混合物平均扩散的准确性和适当性。在这项研究中,我们评估了多组分质量扩散在预混合的三维高karlovitz-number氢,N heptane和甲苯火焰的作用,代表了一系列燃料路易斯的数字。由于在这种情况下扩散效应的重要性,我们还研究了预混合的不稳定二维氢火焰。我们对扩散通量向量的比较表明,在高火曲率的区域中,混合物平均和多组分扩散模型之间平均差异为10-20%,大于40%。然而,与全球湍流统计数据相比,混合物平均模型的扩散通量差异很小。为了评估两个模型之间这些差异的影响,我们比较了物种质量分数和源项的归一化湍流速度和条件均值。我们发现平均归一化的湍流火焰速度的差异为5-20%,这似乎对应于峰燃料源项中5-10%的差异。我们的结果激发了进一步研究,该研究是否始终适合于预混合湍流火焰的DNS。
Implementing multicomponent diffusion models in numerical combustion studies is computationally expensive; to reduce cost, numerical simulations commonly use mixture-averaged diffusion treatments or simpler models. However, the accuracy and appropriateness of mixture-averaged diffusion has not been verified for three-dimensional, turbulent, premixed flames. In this study we evaluated the role of multicomponent mass diffusion in premixed, three-dimensional high Karlovitz-number hydrogen, n-heptane, and toluene flames, representing a range of fuel Lewis numbers. We also studied a premixed, unstable two-dimensional hydrogen flame due to the importance of diffusion effects in such cases. Our comparison of diffusion flux vectors revealed differences of 10-20% on average between the mixture-averaged and multicomponent diffusion models, and greater than 40% in regions of high flame curvature. Overall, however, the mixture-averaged model produces small differences in diffusion flux compared with global turbulent flame statistics. To evaluate the impact of these differences between the two models, we compared normalized turbulent flame speeds and conditional means of species mass fraction and source term. We found differences of 5-20% in the mean normalized turbulent flame speeds, which seem to correspond to differences of 5-10% in the peak fuel source terms. Our results motivate further study into whether the mixture-averaged diffusion model is always appropriate for DNS of premixed turbulent flames.