Numerical study of stator serrated trailing-edge to control turbine broadband noise
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摘要:
采用延迟分离涡/声类比（DDES/AA）混合模拟方法，探索了上游静叶“拱形”分布式尾缘（Bionic S）和下游动叶“拱形”分布式前缘（Bionic R）对涡轮湍流尾迹干涉宽频噪声的降噪效果和物理机制。研究发现：在10 kHz以下多数频率下， Bionic S和Bionic R都可以降低湍流尾迹干涉宽频噪声。在此基础上，初步分析了 Bionic S尾迹特征和仿生学降噪物理机制。Bionic S可以改变静叶尾迹特征，使其在展向呈现出周期性变化，进一步表现在压力脉动时-空相关系数上的周期性分布，表明仿生学构型极大地增强了不同展向位置压力脉动的相位延迟程度。其影响范围会扩展到尾迹在下游运输过程中与吸力面的整个干涉过程。而本身空间相关系数的“不连续”更说明了未来仿生学构型的降噪研究有必要在三维流动环境中开展。
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关键词:
- 延迟分离涡/声类比（DDES/AA） /
- “拱形” /
- 宽频噪声 /
- 压力脉动时-空相关系数 /
- 相位延迟 /
- 不连续
Abstract:Using delayed detached eddy simulation/analogy acoustics (DDES/AA) hybrid simulation method, the noise reduction effects and physical mechanism of upstream stator with “arch” distributed trailing edge (Bionic S) and downstream rotor with “arch” distributed leading edge (Bionic R) on turbine turbulent wake interaction broadband noise were studied. The research found that, except for individual frequencies, the upstream “arched” trailing edge stator blades (Bionic S) and the downstream “arched” leading edge rotor blades (Bionic R) can reduce the turbulent wake interaction broadband noise at most of frequencies below 10 kHz. Based on this, the wake characteristics and physical mechanism of noise reduction of Bionic S were preliminarily explored. Bionic S can change the characteristics of the stator wake, making it show periodic changes in the span direction, and then periodical distribution of the time-space correlation coefficient of pressure fluctuation, indicating that the bionic configuration greatly enhanced the phase-delay of pressure fluctuation at different spanwise positions. The influence existed in the entire interaction between wake and suction surface during downstream transport. And the discontinuous characteristics of spatial correlation coefficient distribution of the pressure fluctuation showed the necessity of noise reduction study of bionic configuration in the future to be carried out in the three-dimensional flow.
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图 5 基准叶片混合方法预测结果与实验结果对比
Figure 5. Comparation between hybrid method prediction result and experimental result of baseline
图 6 不同仿生学构型降噪效果对比
Figure 6. Comparation of noise reduction between different bionic configurations
图 9 瞬态涡量及尾缘出口截面时均速度分布云图
Figure 9. Transient vortex and distribution of time-averaged velocity at downstream of stator trailing-edge
图 10 压力脉动时-空相关性分析位置示意
Figure 10. Location for analysis of time space correlation of pressure fluctuation
图 11 动叶前缘压力脉动时-空相关性分析
Figure 11. Analysis of time space correlation of pressure fluctuation at rotor leading edge
图 12 动叶吸力面“A”位置压力脉动时-空相关性分析
Figure 12. Analysis of time space correlation of pressure fluctuation at “A” on rotor suction surface
图 13 动叶吸力面“B”位置压力脉动时-空相关性分析
Figure 13. Analysis of time space correlation of pressure fluctuation at “B” on rotor suction surface
表 1 NPU-Turb设计参数
Table 1. Design parameters of NPU-Turb
参数 数值 动叶数 40 静叶数 30（40） 转静间距/mm 20 动叶叶尖间隙/mm 0.425 膨胀比 1.08 质量流量/（kg/s） 6.3552 转速/（r/min） 3000 
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表 2 计算域及网格
Table 2. Computation regions and mesh
计算域 网格形式 网格数量/106 Baseline Bionic S Bionic R 静叶域 节点 8.23 8.87 8.23 元素 8.04 47.55 8.04 动叶域 节点 13.53 13.53 12.61 元素 13.27 13.27 44.94 出口域 节点 5.89 5.89 5.89 元素 5.77 5.77 5.77
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