Impact of Wing Aspect Ratio on Aerodynamic Performance in Gliding Flight: A Comprehensive Review

Zekun Ding

doi:10.54097/8p1hg461

Authors

Zekun Ding

DOI:

https://doi.org/10.54097/8p1hg461

Keywords:

Aspect Ratio, Aerodynamics, Gliding Flight, Lift-to-Drag Ratio, Wing Design.

Abstract

The aspect ratio of a wing plays a critical role in determining the aerodynamic performance of gliding flight. As a key design parameter, the aspect ratio influences lift, drag, and overall efficiency, making it essential for optimizing flight characteristics. This review explores the theoretical foundations of aerodynamics, focusing on the interplay between lift, drag, and the glide angle, and highlights the significance of the lift-to-drag ratio as a measure of aerodynamic efficiency. A detailed examination of the role of aspect ratio reveals its impact on aerodynamic properties, supported by case studies illustrating variations in gliding performance with different aspect ratios. Despite the clear benefits of optimizing aspect ratio, there are challenges in balancing performance gains with design constraints, including structural limitations and environmental factors. Limitations in current research are also addressed, emphasizing the need for further exploration to enhance understanding and application in wing design. The review concludes by summarizing the key insights and underscoring the importance of aspect ratio considerations for future advancements in aviation technology, particularly in the context of gliding flight.

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References

[1] Harvey Christina, Inman Daniel J. Aerodynamic efficiency of gliding birds vs comparable UAVs: a review. Bioinspiration & Biomimetics, 2021, 16 (3): 031001.

[2] Waldrop Lindsay D., He Yanyan, Hedrick Tyson L., Rader Jonathan A. Functional morphology of gliding flight I: modeling reveals distinct performance landscapes based on soaring strategies. Integrative and Comparative Biology, 2020, 60 (5): 1283-1296.

[3] Changchuan XIE, Nongyue GAO, Yang MENG, Yue WU, Chao YANG. A review of bird-like flapping wing with high aspect ratio. Chinese Journal of Aeronautics, 2023, 36 (1): 22-44.

[4] Ma Yiyuan, Elham Ali. Designing high aspect ratio wings: A review of concepts and approaches. Progress in Aerospace Sciences, 2024, 145: 100983.

[5] Zhu X., Huang Y., Wang X., Wang R. Emotion recognition based on brain-like multimodal hierarchical perception. Multimedia Tools and Applications, 2023, 1-19.

[6] Rader Jonathan A., Hedrick Tyson L., He Yanyan, Waldrop Lindsay D. Functional morphology of gliding flight II: morphology follows predictions of gliding performance. Integrative and Comparative Biology, 2020, 60 (5): 1297-1308.

[7] Bhat S. S., Zhao J., Sheridan J., Hourigan K., Thompson M. C. Aspect ratio studies on insect wings. Physics of Fluids, 2019, 31 (12).

[8] Shahzad Aamer, Tian Fang-Bao, Young John, Lai Joseph. Effects of wing shape, aspect ratio and deviation angle on aerodynamic performance of flapping wings in hover. Physics of Fluids, 2016, 28 (11).

[9] Özel Cevdet, Özbek Emre, Ekici Selcuk. A review on applications and effects of morphing wing technology on UAVs. International Journal of Aviation Science and Technology, 2020, 1 (01): 30-40.

[10] Zhu, X., Zhao, Z., Wei, X., Wang, X., & Zuo, J. Action recognition method based on wavelet transform and neural network in wireless network. Proceedings of the 2021 5th International Conference on Digital Signal Processing, 2021, 60-65.

[11] Krishna Swathi, Cho Moonsung, Wehmann Henja-Niniane, Engels Thomas, Lehmann Fritz-Olaf. Wing design in flies: properties and aerodynamic function. Insects, 2020, 11 (8): 466.

[12] Salami Erfan, Ward Thomas A., Montazer Elham, Ghazali Nik Nazri Nik. A review of aerodynamic studies on dragonfly flight. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233 (18): 6519-6537.

[13] Zhu, X., Zhang, Y., Zhao, Z., & Zuo, J. Radio frequency sensing based environmental monitoring technology. Fourth International Workshop on Pattern Recognition, SPIE, 2019, 11198, 187-191.