Vortex shedding and frequency selection in flapping flight

By Z. Jane Wang. Journal of Fluid Mechanics, 2000

455 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/2ca4d6b9a2598970fd221c7ac49891b645ae29e8

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In Aerospace Engineering

In Computational Mechanics

Citations in the corpus

The control of flight force by a flapping wing: lift and drag production. (2001, methodology): “A third approach is to calculate the aerodynamic forces generated by arbitrary stroke kinematics using computational fluid dynamics (Liu et al., 1998; Wang, 2000).”
Analysis of transitions between fluttering, tumbling and steady descent of falling cards (2005, methodology): “We follow Wang, Birch & Dickinson (2004) and in the range of intermediate to high Reynolds number we apply a quadratic drag with the following dependence on the angle of attack:”
On the rules for aquatic locomotion (2017, background): “The shedding of leading-edge vortices may be an important factor [1,6].”
Hydrodynamic Performance of Aquatic Flapping: Efficiency of Underwater Flight in the Manta (2016, background): “Unsteady lift, through control and production of vorticity, is one of the key aspects behind the large lift coefficients generated by biological systems [55].”
Modelling thrust generation of a two-dimensional heaving airfoil in a viscous flow (2003, background): “Wang (2000) noted that the heaving frequency needed for maximum efficiency should correspond to the period with which vortices are shed from impulsively started airfoils, since this shedding causes the forces on the airfoil to drop substantially.”
Wake topology and hydrodynamic performance of low-aspect-ratio flapping foils (2006, background): “…variability in the foil geometry and the flow field (Jones, Dohring & Platzer 1998; Isogai, Shinmoto & Watanabe 1999; Tuncer & Platzer 2000; Wang 2000; Mittal, Uttukar & Udaykumar 2002a; Mittal et al. 2003; Lewin & Haj-Hariri 2003; Pedro, Suleman & Djilali 2003; Guglielmini & Blondeaux…”
Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping (2008, background): “The next three are amplitudes and lags of each of three harmonics of ﬂ apping motion.”