BIO-INSPIRED CORRUGATED AIRFOIL AERODYNAMICS UNDER EXTERNAL TURBULENCEAT LOW REYNOLDS NUMBERS

IF 0.8 Q4 ENGINEERING, MECHANICAL

JOURNAL OF FLOW VISUALIZATION AND IMAGE PROCESSING Pub Date : 2023-01-01 DOI:10.1615/jflowvisimageproc.2023049120

G S Biradar, Majid Hassan Khan, Sumit Bankey, Abhishek Mishra, Ganapati Joshi, Amit Agrawal

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Abstract

Particle image velocimetry measurements have been undertaken to investigate the aerodynamic performance of bio-inspired corrugated airfoil under the influence of external turbulence. The study is motivated by the gliding flight of dragonflies and its relevance to bio-inspired corrugated wing design for Micro Air Vehicles. The detailed flow field measurements are undertaken at 6% free stream turbulence intensity for six angles of attack (±50, ±100 and ±150). The low Reynolds number regime from Re= 1200 to 13200 corresponding to dragonfly flight has been covered in the current study. The aerodynamic performance of the corrugated airfoil is evaluated by obtaining drag and lift coefficients using modified wake survey method and Kutta-Joukowski theorem respectively. The calculated Cl and Cd are compared with available literature and it is noted that the performance of corrugated profile airfoil degrades significantly under the influence of external turbulence. The temporal wake obtained from the mean velocity fields is also presented for better visualization of flow dynamics. The findings of the study indicate that the performance of corrugated airfoil under external turbulence is strongly influenced by angle of attack at lower Re.

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低雷诺数外湍流下仿生波纹翼型空气动力学研究

采用粒子图像测速方法研究了生物动力波纹翼型在外界湍流影响下的气动性能。这项研究的动机是蜻蜓的滑翔飞行及其与微型飞行器的仿生波纹翼设计的相关性。详细的流场测量是在6%的自由流湍流强度下进行的，六个攻角(±50，±100和±150)。蜻蜓飞行所对应的Re= 1200 ~ 13200低雷诺数区间，目前的研究已经涵盖。采用改进的尾迹测量法和Kutta-Joukowski定理分别获得了波纹翼型的阻力系数和升力系数，对其气动性能进行了评价。将计算得到的Cl和Cd与现有文献进行了比较，发现在外部湍流的影响下，波纹型翼型的性能明显下降。为了更好地显示流动动力学，还给出了从平均速度场得到的时间尾迹。研究结果表明，低Re下的迎角对波纹翼型在外部湍流作用下的性能影响较大。

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来源期刊

JOURNAL OF FLOW VISUALIZATION AND IMAGE PROCESSING Multiple-

CiteScore

1.30

自引率

16.70%

发文量

期刊介绍： The Journal of Flow Visualization and Image Processing is a quarterly refereed research journal that publishes original papers to disseminate and exchange knowledge and information on the principles and applications of flow visualization techniques and related image processing algorithms. Flow visualization and quantification have emerged as powerful tools in velocity, pressure, temperature and species concentration measurements, combustion diagnostics, and process monitoring related to physical, biomedical, and engineering sciences. Measurements were initially based on lasers but have expanded to include a wider electromagnetic spectrum. Numerical simulation is a second source of data amenable to image analysis. Direct visualization in the form of high speed, high resolution imaging supplements optical measurements. A combination of flow visualization and image processing holds promise to breach the holy grail of extracting instantaneous three dimensional data in transport phenomena. Optical methods can be enlarged to cover a wide range of measurements, first by factoring in the applicable physical laws and next, by including the principle of image formation itself. These steps help in utilizing incomplete data and imperfect visualization for reconstructing a complete scenario of the transport process.[...] The journal will promote academic and industrial advancement and improvement of flow imaging techniques internationally. It seeks to convey practical information in this field covering all areas in science, technology, and medicine for engineers, scientists, and researchers in industry, academia, and government.