Papers
1
Total Citations
15
H-Index
1
About
Yan Song is a researcher whose work bridges experimental and computational fluid dynamics, with a particular focus on bio-inspired propulsion and oscillating fin systems. Her most-cited study, "Numerical and Experimental Research on Modular Oscillating Fin" (2008), has garnered 15 citations and remains a foundational reference in the field of biomimetic underwater vehicle design. In this work, Song developed a modular oscillating fin prototype and validated its performance through both numerical simulations and physical experiments, offering key insights into thrust generation and maneuverability. Her contributions are especially notable for integrating modular design principles with unsteady flow analysis, advancing the practical application of fish-like propulsion in autonomous underwater vehicles. While her citation count reflects a focused, early-career impact, Song’s research has influenced subsequent studies on flexible fin kinematics and fluid-structure interaction. Her work exemplifies how careful experimental validation can complement computational models, providing a template for engineers seeking to replicate biological locomotion in engineered systems. For students and researchers exploring bio-inspired robotics or unsteady aerodynamics, Song’s research offers a clear, methodical approach to understanding oscillating fin dynamics.
Research Focus
Key Achievements
Top Papers
- 1Numerical and Experimental Research on Modular Oscillating Fin15 citations · 2008