前缘波浪结构对轴流风机气动性能影响试验研究OA
Experimental study on influence of wave leading edge structure on aerodynamic performance of axial fan
叶片前缘结构显著影响风机入口流动状态、压力脉动及流道内涡演化过程,为提升轴流风机气动性能并降低气动噪声,基于仿生学原理设计 3 种不同波幅与波长的波浪前缘结构,系统探究其对风机性能的影响机制.采用 IDDES 混合湍流模型与 FW-H 声比拟方程进行数值模拟,并通过试验数据验证数值模型的可靠性.结果表明:仿真与试验数据的误差控制在 2%以内,验证了数值方法的准确性.对比分析表明,波浪前缘结构在波谷两侧诱导反向涡对,有效降低总涡量,抑制湍流噪声辐射.其中,A7W10(A/C=7.6%,W/C=10%)方案气动性能最优,在额定工况下全压提升 17.0%,效率提高5.9%,监测点噪声降低2.83 dB.研究揭示了波浪前缘结构通过涡量控制优化流场与降噪的物理机制,为高效低噪轴流风机设计提供了理论依据.
The leading edge geometry of blades plays a critical role in the inlet flow characteristics,pressure fluctuations,and vortex evolution within axial fans.To enhance the aerodynamic performance and reduce noise,three bionic wave leading edge structures with varying amplitudes and wavelengths were designed based on biomimetic principles.The IDDES hybrid turbulence model and the Ffowcs-Williams&Hawkings(FW-H)acoustic analogy were conducted for numerical simulation,and the re-liability of the numerical model was verified by experimental data.The results demonstrate excellent agreement between simulations and experiments,with discrepancies within 2%.The comparative analy-sis indicates that the wave leading edge structures generate counter-rotating vortex pairs near wave troughs,effectively suppressing total vorticity and broadband noise.Among the tested configurations,the A7W10 design(A/C=7.6%,W/C=10%)exhibits optimal performance,achieving a 17.0%in-crease in total pressure,a 5.9%improvement in efficiency,and a 2.83 dB noise reduction at the moni-toring point.This study elucidates the mechanism of vortex control and noise mitigation induced by wave leading edges structure,providing a theoretical basis for designing high-efficiency and low-noise axial fans.
邵准远;林建忠;贾海军;杜红波
浙江大学航空航天学院流体工程研究所,浙江 杭州 310027||西安泛仕达流体机械有限公司,陕西 西安 710076浙江大学航空航天学院流体工程研究所,浙江 杭州 310027西安泛仕达流体机械有限公司,陕西 西安 710076西安泛仕达流体机械有限公司,陕西 西安 710076
农业科技
轴流风机仿生设计波浪前缘计算流体力学气动性能噪声控制
axial fanbionic designwave leading edgeCFDaerodynamic performancenoise control
《排灌机械工程学报》 2026 (5)
488-492,5
国家自然科学基金资助项目(12132015)
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