| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Biomechanical behaviors of dragonfly wing: relationship between configuration and deformation |
| Ren Huai-Hui(任淮辉), Wang Xi-Shu(王习术)†, Chen Ying-Long(陈应龙), and Li Xu-Dong(李旭东) |
| Department of Engineering Mechanics, AML, Tsinghua University, Beijing 100084, China |
|
|
|
|
Abstract In this paper, the natural structures of a dragonfly wing, including the corrugation of the chordwise cross-section, the sandwich microstructure veins, and the junctions between the vein and the membrane, have been investigated with experimental observations, and the morphological parameters of these structural features are measured. The experimental result indicates that the corrugated angle among the longitudinal veins ranges from 80° to 150°, and the sandwiched microstructure vein mainly consists of chitin and protein layers. Meanwhile, different finite element models, which include models I and I* for the planar forewings, models II and II* for the corrugated forewings, and a submodel with solid veins and membranes, are created to investigate the effects of these structural features on the natural frequency/modal, the dynamical behaviors of the flapping flight, and the deformation mechanism of the forewings. The numerical results indicate that the corrugated forewing has a more reasonable natural frequency/modal, and the first order up-down flapping frequency of the corrugated wing is closer to the experimental result (about 27.00 Hz), which is significantly larger than that of the planar forewing (10.94 Hz). For the dynamical responses, the corrugated forewing has a larger torsional angle than the planar forewing, but a lower flapping angle. In addition, the sandwich microstructure veins can induce larger amplitudes of torsion deformation, because of the decreasing stiffness of the whole forewing. For the submodel of the forewing, the average stress of the chitin layer is much larger than that of the protein layer in the longitudinal veins. These simulative methods assist us to explain the flapping flight mechanism of the dragonfly and to design a micro aerial vehicle by automatically adjusting the corrugated behavior of the wing.
|
Received: 13 September 2011
Revised: 08 November 2011
Accepted manuscript online:
|
|
PACS:
|
45.50.-j
|
(Dynamics and kinematics of a particle and a system of particles)
|
| |
46.70.Hg
|
(Membranes, rods, and strings)
|
| |
87.10.Kn
|
(Finite element calculations)
|
| |
87.15.La
|
(Mechanical properties)
|
|
| Fund: Projects supported by the National Natural Science Foundation of China (Grant Nos. 10772091 and 11072124), the National Basic Research Program of China (Grants No. 2010CB631006), and the State Key Laboratory of Advanced Metals and Materials, China (Grant No. 2010ZD-03). |
Corresponding Authors:
Wang Xi-Shu,xshuwang@tsinghua.edu.cn
E-mail: xshuwang@tsinghua.edu.cn
|
Cite this article:
Ren Huai-Hui(任淮辉), Wang Xi-Shu(王习术), Chen Ying-Long(陈应龙), and Li Xu-Dong(李旭东) Biomechanical behaviors of dragonfly wing: relationship between configuration and deformation 2012 Chin. Phys. B 21 034501
|
| [1] Ellington C P 1984 Philoso. T. R. Soc. B 305 41[2] Azuma A 1985 J. Exp. Biol. 116 79[3] Hertel H 1966 Structure, Form, Movement (New York: Reinhold)[4] Zhao G Z, Yu X J and Xu Y 2010 Chin. Phys. B 19 070203[5] Rees C J C 1975 Nature 256 200[6] Fu J L, Zhao W J and Weng Y Q 2008 Chin. Phys. B 17 2361[7] Newman J S and Wootton R J 1986 J. Exp. Biol. 125 361[8] Wootton R J, Evans K E, Herbert R and Smith C W 2000 J. Exp. Biol. 203 2921[9] Ennos A R 1988 J. Exp. Biol. 140 137[10] Kim W K, Ko J H, Park H C and Byun D Y 2009 J. Theor. Biol. 260 523[11] Wang X S, Li Y and Shi Y F 2008 Compos. Sci. Technol. 68 186[12] Song F, Xiao K W, Bai K and Bai Y L 2007 Mat. Sci. Eng. 457 254[13] Ennos A R and Wootton R J 1989 J. Exp. Biol. 143 267[14] Okamoto M, Yasuda K and Azuma A 1996 J. Exp. Biol. 199 281[15] Sunada S, Zeng L J and Kawachi K 1998 J. Theor. Biol. 193 39[16] Li Z X, Shen W, Tong G S, Tian J M and Loc V Q 2009 J. Zhejiang Univ. Sci. A 10 72[17] Zhao H X, Yin Y J and Zhong Z 2010 Chin. Sci. Bull. 55 1993[18] Chen Y L, Wang X S, Ren H H and Li X D 2011 Chin. Sci. Bull. 56 1658[19] Sun M and Tang J 2002 J. Exp. Biol. 205 55[20] Luo G Y and Sun M 2005 Acta Mech. Sin. 21 531[21] Sun J Y, Pan C X, Tong J and Zhang J 2010 IET Nanobiotechnol. 4 10[22] Lehmann F O 2006 Arthropod Struct. Dev. 209 5005[23] Wang Y T, Kalyanasundaram S and Young J 2008 Australasian Conference on Robotics and Automation (ACRA 2008) (Australia: Australian Robotics and Automation Association) p. 6[24] Chen J S, Chen J Y and Chou Y F 2008 J. Sound Vib. 313 643[25] Beliveau J G, Vigneron F R, Soucy Y and Draisey S 1986 J. Sound Vib. 107 435 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
