The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Aerodynamics of Low Reynolds Number Flyers
Abstract
Low Reynolds number aerodynamics is important to a number of natural and man-made flyers. Birds, bats, and insects have been of interest to biologists for years, and active study in the aerospace engineering community, motivated by interest in micro air vehicles (MAVs), has been increasing rapidly. The focus of this book is the aerodynamics associated with fixed and flapping wings. The book considers both biological flyers and MAVs, including a summary of the scaling laws which relate the aerodynamics and flight characteristics to a flyer's sizing on the basis of simple geometric and dynamics analyses, structural flexibility, laminar-turbulent transition, airfoil shapes, and unsteady flapping wing aerodynamics. The interplay between flapping kinematics and key dimensionless parameters such as the Reynolds number, Strouhal number, and reduced frequency is highlighted. The various unsteady lift enhancement mechanisms are also addressed.
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Cites
Pennycuick, C. J. (1975) · Avian Biology · doi:10.1016/b978-0-12-249405-5.50009-4 · Cited by 1,072
Flying and swimming animals cruise at a Strouhal number tuned for high power efficiency
Taylor, G. K., Nudds, R. L., & Thomas, A. L. R. (2003) · Nature · doi:10.1038/nature02000 · Cited by 994
Mechanical performance of aquatic rowing and flying.
Walker, J. A., & Westneat, M. W. (2000) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2000.1224 · Cited by 215
Cited by
Classifications, applications, and design challenges of drones: A review
Hassanalian, M., & Abdelkefi, A. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.04.003 · Cited by 1,454
Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer
He, W., Yan, Z., Sun, C., & Chen, Y. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2720801 · Cited by 328
Metadata
- Authors
- Shyy, W., Lian, Y., Tang, J., Viieru, D., & Liu, H.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2007-10-22
- OpenAlex
- W1514397422
- Cited by
- 780
- References
- 3
- FWCI
- 28.32
- Type
- book
- Language
- en
- Open access
- closed
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