Experimental Advances in Airfoil Dynamic Stall and Transition Phenomena

• Published in: Fluid dynamics & materials processing Vol. 21; no. 4; pp. 697 - 739
• Main Authors: Zhang, Dapeng, Xie, Yifan, Zhang, Yining, Liang, Zhengjie, Tian, Yutao
• Format: Journal Article
• Language: English
• Published: Duluth Tech Science Press 2025
• Subjects: Airfoils; Artificial intelligence; Civil engineering; Experimental methods; Flow velocity; Research methodology; Reynolds number; Simulation; Stalling; Turbulence models; Viscosity
• ISSN: 1555-2578; 1555-256X; 1555-2578
• DOI: 10.32604/fdmp.2025.061829

Airfoil structures play a crucial role across numerous scientific and technological disciplines, with the transition to turbulence and stall onset remaining key challenges in aerodynamic research. While experimental techniques often surpass numerical simulations in accuracy, they still present notable limitations. This paper begins by elucidating the fundamental principles of transition, dynamic stall, and airfoil behavior. It then provides a systematic review of six major experimental methodologies and examines the emerging role of artificial intelligence in this domain. By identifying key challenges and limitations, the study proposes strategic advancements to address these issues, offering a foundational framework to guide future research in airfoil structures and related fields.