基于粒子图像测速的三角翼尾流流动特征研究

    Study on wake flow characteristics of delta wing based on particle image velocimetry

    • 摘要: 粒子图像测速(particle image velocimetry, PIV)技术是解析复杂瞬态流场的关键手段。为揭示小迎角和低马赫数(Ma)对机翼尾流的影响规律,设计基于PIV技术的NACA0012翼型三角翼尾流测量方案。实验在0.6 m连续式风洞中开展,工况覆盖Ma 0.3~0.6、迎角−4°~4°,通过PIV技术获取尾流速度场,结合Q准则完成剪切层厚度计算与涡结构演化分析。结果显示:负迎角时尾流涡呈规则周期性分布;正迎角增至3°以上时,涡结构紊乱度上升,剪切层因气流分离显著增厚;随Ma增大,涡破碎与扩散加剧,Ma=0.6时因压缩性增强,涡震荡破碎更剧烈,剪切层波动幅度加大。研究通过自主搭建的PIV系统获取关键速度信息,清晰呈现小迎角和低Ma对尾流的影响机制,补充亚声速小迎角三角翼尾流气动特性研究领域的定量数据,为研究机翼气动优化设计提供技术支持。

       

      Abstract: Particle image velocimetry (PIV) is a key method for analyzing complex transient flow fields. To reveal the influence of small angles of attack and low Mach numbers (Ma) on wing wakes, a wake measurement scheme for the NACA0012 airfoil delta wing based on PIV was designed. Experiments were conducted in a 0.6 m continuous wind tunnel under conditions covering Ma from 0.3 to 0.6 and angles of attack from −4° to 4°. Wake velocity fields were obtained via PIV, and combined with the Q-criterion, calculations of shear layer thickness and analysis of vortex structure evolution were completed. Results revealed that the wake vortices exhibit regular periodic distribution at negative angles of attack. When the positive angle of attack exceeded 3°, the disorder of vortex structures rose, and the shear layer thickened significantly due to flow separation. As the Mach number increased, vortex breakdown and diffusion intensified; at Ma=0.6, due to enhanced compressibility, vortex oscillation and breakdown became more severe, and the fluctuation amplitude of the shear layer increased. This study acquires key velocity information via a self-built PIV system, revealing the influence mechanisms of small angles of attack and low Mach numbers on wake flow, providing quantitative data in the field of aerodynamic characteristics of subsonic delta wing wakes at low angle of attack and offering technical support for aerodynamic optimization design of airfoils.

       

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