火焰模型中辐射吸收的新处理方法

IF 5.3 2区 工程技术 Q2 ENERGY & FUELS
Jianhong Lin, Hua Zhou, Evatt R. Hawkes, Man-Ching Ma
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引用次数: 0

摘要

小火焰模型被广泛应用于燃烧分析中,但其对辐射再吸收效应的整合仍未得到充分探索。本研究引入了一种新颖的拉格朗日辐射吸收小火焰模型,该模型将辐射吸收项从物理空间映射到混合物分数空间,确保增强计算流体动力学(CFD)级别和小火焰级别之间辐射吸收的一致性。为了进行比较,还对现有文献中的三种欧拉方法进行了研究:两种采用稳定的小火焰解决方案,一种利用辐射发射影响下的非稳定小火焰方程。通过引入不同的辐射水平进行数值实验,对层状甲烷-空气扩散火焰中所有物种的完整传输方程(FTE)进行了全解析模拟求解,评估了这四种模型的性能。虽然欧拉模型在较低辐射水平下与 FTE 结果一致,但随着辐射强度的增加,它们表现出越来越大的偏差。不过,只要火焰不发生熄灭,这些欧拉模型在很宽的光学厚度范围内仍能获得相当令人满意的预测结果。与稳定的欧拉小火焰方法相比,非稳定的欧拉小火焰模型对增强的辐射水平更加敏感;其在光学厚度火焰中的次优表现是通过时间尺度分析证明的,该分析表明它无法适应强辐射火焰中混合的变化。此外,没有一个欧拉模型能够捕捉到辐射消光或考虑到光厚火焰中强辐射吸收的潜在热增量。相比之下,所提出的拉格朗日模型在预测所有辐射水平下的温度和物种时都表现出了强大的准确性。这项研究强调了所提出的拉格朗日方法在高辐射水平下卓越的建模精度,并突出了所研究的欧拉小火焰模型在这种条件下的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel treatment for radiative absorption in flamelet modelling
Flamelet models are widely used in combustion analysis, yet their integration of radiative re-absorption effects remains inadequately explored. This study introduces a novel Lagrangian radiative absorption flamelet model, which maps the radiative absorption term from physical space to the mixture fraction space, ensuring enhanced consistency in the radiative absorption between the Computational Fluid Dynamics (CFD) level and the flamelet level. For comparison, three Eulerian approaches from the existing literature are also examined: two employing steady flamelet solutions and one utilising unsteady flamelet equations under the effect of radiative emission. The performance of these four models is evaluated against fully resolved simulations that solve the full transport equations for all species (FTE) in a laminar methane–air diffusion flame, where a numerical experiment is conducted by introducing different radiation levels. While the Eulerian models align with FTE results at lower radiation levels, they exhibit increased deviations as radiation intensifies. However, these Eulerian models still achieve reasonably satisfactory predictions over a wide range of optical thicknesses, provided the flame does not undergo extinction. Compared to the steady Eulerian flamelet methods, the unsteady Eulerian flamelet model is more sensitive to enhanced radiation levels; its suboptimal performance in optically thick flames is justified by a timescale analysis showing its inability to adapt to changes in mixing in flames with strong radiation. Moreover, none of the Eulerian models is able to capture radiative extinction or account for potential heat gain from strong radiative absorption in optically thick flames. In contrast, the proposed Lagrangian model demonstrates robust accuracy in predicting temperature and species across all radiation levels. This study underscores the superior modelling accuracy of the proposed Lagrangian approach at elevated radiation levels and highlights the constraints of the studied Eulerian flamelet models under such conditions.
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来源期刊
Proceedings of the Combustion Institute
Proceedings of the Combustion Institute 工程技术-工程:化工
CiteScore
7.00
自引率
0.00%
发文量
420
审稿时长
3.0 months
期刊介绍: The Proceedings of the Combustion Institute contains forefront contributions in fundamentals and applications of combustion science. For more than 50 years, the Combustion Institute has served as the peak international society for dissemination of scientific and technical research in the combustion field. In addition to author submissions, the Proceedings of the Combustion Institute includes the Institute''s prestigious invited strategic and topical reviews that represent indispensable resources for emergent research in the field. All papers are subjected to rigorous peer review. Research papers and invited topical reviews; Reaction Kinetics; Soot, PAH, and other large molecules; Diagnostics; Laminar Flames; Turbulent Flames; Heterogeneous Combustion; Spray and Droplet Combustion; Detonations, Explosions & Supersonic Combustion; Fire Research; Stationary Combustion Systems; IC Engine and Gas Turbine Combustion; New Technology Concepts The electronic version of Proceedings of the Combustion Institute contains supplemental material such as reaction mechanisms, illustrating movies, and other data.
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