壁湍流的复合减阻及能流分析

段鹏宇; 陈曦

doi:10.11729/syltlx20230126

壁湍流的复合减阻及能流分析

doi: 10.11729/syltlx20230126

段鹏宇,
陈曦^,

北京航空航天大学航空科学与工程学院, 北京　100191

基金项目: 国家自然科学基金项目（12072012, 92252201, 9195230）；中央高校基本科研业务费专项

详细信息

作者简介:
段鹏宇：（1997—），男，云南昆明人，博士研究生。研究方向：壁湍流与流动控制。通信地址：北京市海淀区学院路37号北京航空航天大学航空科学与工程学院（100191）。E-mail：aseduanpengyu@buaa.edu.cn

通讯作者:
E-mail：chenxi97@outlook.com.

中图分类号: O357.5
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- 文章访问数: 88
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- 被引次数: 0
出版历程
- 收稿日期: 2023-09-28
- 修回日期: 2023-11-02
- 录用日期: 2023-11-06
- 网络出版日期: 2023-12-28

Composite drag control and energy flux analysis for wall turbulence

DUAN Pengyu,
CHEN Xi^,

School of Aeronautic Science and Engineering, Beihang University, Beijing　100191, China

摘要

摘要: 湍流减阻的技术与机理具有重要的科学和工程意义。近年来，研究者对壁湍流的减阻策略和机理开展了多方位探索。本文回顾了摩阻的能流分析框架，该框架将摩阻系数和能量耗散率定量地结合了起来，清晰地给出了驱动能量和控制能量在相干、随机和平均流动中的耗散原理，该框架的分析思路对复杂控制情况仍然适用。介绍了展向对吹射流引发的大尺度环流减阻方法，该方法可有效地完成速度条带的卷并，抑制流向涡的生成，减弱近壁湍流强度，在摩擦雷诺数为180的槽道流中可达到最佳约19%的减阻，实现了通过输入相干能量减小湍流随机耗散的控制目标。展示了结合大尺度环流和壁面吹吸气的复合控制方法的优势，该方法实现了远超单一控制方法的减阻效果，在摩擦雷诺数180时达到最佳约33%的减阻和32%的净能量节省。在前人研究的基础上，本文检验了在含肋壁面上施加大尺度环流控制的复合方案，验证了大尺度环流控制的鲁棒性，发现了壁面小肋能够在一定程度上减小大尺度环流二次涡的影响，从而有效提升了壁面小肋的减阻效率。
- 壁湍流 /
- 复合减阻 /
- 减阻机理 /
- 能流分析 /
- 大尺度环流减阻
Abstract: Drag reduction in wall flows is of both fundamental and engineering interest. Here, we review the recent developments in the drag reduction strategy and the underlying mechanism. First, the framework for energy flux analysis of drag control is reviewed, which builds up a quantitative relation between the skin-friction coefficient and the dissipation rate. The framework illustrates how the flux of pumping power and control power is distributed and dissipated by coherent, random, and mean fluid motions, applicable for complex control methods as well. Moreover, a specific large-scale control strategy by spanwise opposed wall-jet forcing is introduced, which reduces near-wall random turbulence intensities by merging velocity streaks together and hence suppressing the generation of streamwise vortices. By injecting control power from coherent motions, the spanwise forcing method achieves a maximum drag reduction rate of approximately 19% in the channel flow at a friction Reynolds number of 180. Furthermore, a composite control method combining large-scale control and opposed wall blowing/suction together, yields approximately 33% drag reduction and 32% net power saving at the same Reynolds number, both higher than that of the individual control method. Finally, we show that applying the large-scale control over riblets, the control efficacy is much higher than that of the riblets alone, hence demonstrating the robustness of the large-scale control method.
- wall turbulence /
- composite drag control /
- drag reduction mechanism /
- energy flux analysis /
- large-scale control

HTML全文

图 1 槽道流中的能流分析框架示意图^[25]

Figure 1. Sketch of energy flux in channels^[25]

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图 2 SOJF控制示意图^[24]

Figure 2. Sketch of SOJF control^[24]

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图 3 SOJF对速度条带的控制效果^[23]

Figure 3. Control effect of SOJF for the streaks of instantaneous velocity^[23]

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图 4 SOJF对涡结构的控制^[24]

Figure 4. Control effect of SOJF for vortices^[24]

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图 5 λ₂等值线（蓝色）和随机耗散等值线（红色）的比较^[25]

Figure 5. The comparison of contours of λ₂ (blue lines) and random dissipation (red lines)^[25]

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图 6 SOJF控制和的壁面吹吸气控制的能流分析^[25]

Figure 6. Energy flux analysis under SOJF control and opposed wall blowing/suction control^[25]

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图 7 SOJF和壁面吹吸气复合减阻控制示意图^[31]

Figure 7. Sketch of composite drag control which combines the SOJF control and opposite wall blowing/suction control^[31]

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图 8 涡结构以及y⁺ = 15 处的流向脉动速度云图^[31]

Figure 8. λ₂ vortical structures and the streamwise velocity fluctuations at y⁺ = 15^[31]

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图 9 不同控制下的能流分析^[31]

Figure 9. Energy flux analysis under different control^[31]

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图 10 y–z平面的平均速度场和平均流向速度云图^[31]

Figure 10. y–z plane view of mean velocity with contours of streamwise velocity^[31]

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图 11 SOJF与壁面小肋复合控制示意图

Figure 11. Sketch of composite drag control of SOJF and riblets

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