Anh Tuan Nguyen, Thanh Dong Pham, Vu Dan Thanh Le, Quoc Tru Vu, Jae-Hung Han, Sang-Woo Kim
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引用次数: 0
Abstract
This paper presents a novel modelling method to study the thrust generation mechanism of biplane flapping wings made of thin and highly deformable membrane. Based on the principle of strain energy equivalence, the membrane structures were modelled by mass-spring systems. The aerodynamic loads were calculated by a simplified quasi-steady aerodynamic model with consideration of the clap-and-fling mechanism. The impact force was introduced into the system when two wing surfaces were in contact. For wing-dynamics simulation problems, convergence analyses were conducted to obtain suitable mesh resolution. To validate the present modelling method, the predicted thrust and required power of a biplane flapping-wing air vehicle were compared with the experimental data. The effect of the forward speed was also analyzed in this paper. It was shown that as the forward speed increases the thrust production efficiency becomes lower together with smaller wing deformation.
期刊介绍:
Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences.
Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences.
In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest.
Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics