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Published June 2018 | public
Journal Article

On the lift-optimal aspect ratio of a revolving wing at low Reynolds number

Abstract

Lentink & Dickinson (2009 J. Exp. Biol. 212, 2705–2719. (doi:10.1242/jeb.022269)) showed that rotational acceleration stabilized the leading-edge vortex on revolving, low aspect ratio (AR) wings and hypothesized that a Rossby number of around 3, which is achieved during each half-stroke for a variety of hovering insects, seeds and birds, represents a convergent high-lift solution across a range of scales in nature. Subsequent work has verified that, in particular, the Coriolis acceleration plays a key role in LEV stabilization. Implicit in these results is that there exists an optimal AR for wings revolving about their root, because it is otherwise unclear why, apart from possible morphological reasons, the convergent solution would not occur for an even lower Rossby number. We perform direct numerical simulations of the flow past revolving wings where we vary the AR and Rossby numbers independently by displacing the wing root from the axis of rotation. We show that the optimal lift coefficient represents a compromise between competing trends with competing time scales where the coefficient of lift increases monotonically with AR, holding Rossby number constant, but decreases monotonically with Rossby number, when holding AR constant. For wings revolving about their root, this favours wings of AR between 3 and 4.

Additional Information

© 2017 The Author(s). Published by the Royal Society. Received December 11, 2017; Accepted May 23, 2018; Published 20 June 2018. The authors are grateful to Dr Sebastian Liska for helpful discussions on numerical implementation of the immersed boundary and Lattice Green's Function method, and to Pr. Michael Dickinson for insightful comments on the manuscript. Data accessibility. This article has additional data provided as electronic supplementary material (figures A, B and C). Competing interests. We declare we have no competing interests. Funding. The simulations were performed using the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant no. TG-CTS120005. This work was also partly supported by fundings from the Fondation ISAE-Supaero.

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023