1. 辽宁工程技术大学机械工程学院
2. 大连理工大学能源与动力工程学院
纸质出版:2026
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蒲湘祺, 姜霖松, 索少一, 等. 基于孔隙尺度的随机泡沫陶瓷结构尾流湍流流场模拟[J]. 热力发电, 2026,(7).
蒲湘祺, 姜霖松, 索少一, et al. 基于孔隙尺度的随机泡沫陶瓷结构尾流湍流流场模拟[J]. Thermal Power Generation, 2026, (7).
蒲湘祺, 姜霖松, 索少一, 等. 基于孔隙尺度的随机泡沫陶瓷结构尾流湍流流场模拟[J]. 热力发电, 2026,(7). DOI: 10.19666/j.rlfd.202510067.
蒲湘祺, 姜霖松, 索少一, et al. 基于孔隙尺度的随机泡沫陶瓷结构尾流湍流流场模拟[J]. Thermal Power Generation, 2026, (7). DOI: 10.19666/j.rlfd.202510067.
【目的】泡沫陶瓷因其高孔隙率、多孔结构以及不同的胞元结构,在燃烧器中可强化传热传质并扩展贫燃极限。但随机孔隙结构引发的微观流场,直接影响燃料-空气混合效率及火焰稳定性,传统模型难以预测,急需精准预测尾流湍流流场的模型。【方法】为此,采用基于Voronoi算法构建的随机泡沫陶瓷结构,结合大涡模拟研究孔隙尺度湍流,系统开展了孔隙尺度湍流流动的数值模拟研究,重点分析了不同入口流速(10~100 m/s)条件下的流场结构与涡演化特征。【结果】随着入口速度增大,流动由黏性主导逐渐转变为惯性主导,涡量显著增强,高涡量区集中于骨架背风侧和孔隙喉道等几何突变区域;湍动能最大值由工况1(入口速度10 m/s)的120.84 m2/s2增至工况4(入口速度100 m/s)的12 049.28 m2/s2,增幅接近100倍。基于Q准则识别的涡结构分析表明,随机孔隙显著导致流动各向异性,涡核高旋强度主导局部耗散且分布与孔隙连通性相关。多尺度涡结构协同作用形成的湍流能量级联与涡核高旋强度主导的局部耗散协同调控燃烧反应过程。【结论】通过构建随机泡沫陶瓷模型的Voronoi-LES耦合方法,有效捕捉了孔隙尺度下涡结构的生成、演化与耗散规律,为揭示孔隙尺度湍流-化学反应耦合机制提供了新思路,对优化泡沫陶瓷燃烧器设计、提升低碳发电效率及降低污染物排放具有重要工程意义。
[Objective] Porous ceramics enhance heat and mass transfer while extending the lean flammability limit in burners due to their high porosity
multi-scale pore networks
and diverse cellular architectures. However
the random pore structure induces complex microscopic flow fields that directly influence fuel-air mixing efficiency and flame stability
which are challenging to predict using conventional models. This article aims to address this issue. [Methods] A Voronoi-based algorithm was employed to reconstruct stochastic foam structures
and large eddy simulation(LES) was applied to investigate pore-scale turbulence. A systematic numerical study of turbulent flow at the pore scale was conducted
with particular focus on flow structures and vortex evolution under varying inflow velocities(10~100 m/s). [Results] The results indicate that as the inflow velocity increases
the flow transitions from viscosity-dominated to inertia-dominated regimes
accompanied by a marked enhancement in vorticity. Regions of high vorticity are concentrated in areas with abrupt geometric variations
such as the leeward side of solid frames and pore throats. The maximum turbulent kinetic energy increases from 120.84 m2/s2 under Condition 1(inlet velocity of 10 m/s) to 12 049.28 m2/s2 under Condition 4(inlet velocity of 100 m/s)
representing an increase of nearly 100 times. Vortex structures identified using the Q-criterion reveal that random pore arrangements induce significant flow anisotropy. High rotation intensity near vortex cores governs local energy dissipation
and its distribution correlates with pore connectivity. The turbulence energy cascade
resulting from multi-scale vortex interactions
collaboratively modulates combustion reaction processes. [Conclusion] By developing a Voronoi-LES coupling method for modeling random foam ceramics
the generation
evolution
and dissipation patterns of vortical structures at the pore scale are effectively captured. This provides a new approach for elucidating the pore-scale coupling mechanisms of turbulence and chemical reactions and holds significant engineering implications for optimizing foam ceramic burner design
improving low-carbon power generation efficiency
and reducing pollutant emissions.
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