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Volume 15, Issue 29 (4-2019)                   Marine Engineering 2019, 15(29): 147-165 | Back to browse issues page

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Nahavandian M, Izadi A. Numerical Simulation of Flow Hydrodynamic Around Dolphin Body in Viscous Fluid. Marine Engineering 2019; 15 (29) :147-165
URL: http://marine-eng.ir/article-1-718-en.html
1- Amirkabir University of Technology
Abstract:   (4613 Views)
The biomimetic and hydrodynamic study of aquatic animals is one of the most challenging computational fluid dynamics topics in recent studies due to the complexity of body geometry and the type of flow field. The movement of the aquatic body, and particularly the tail section and the corresponding movement of fluid around the body, causes an unsteady flow and requires a comprehensive study of the interaction of fluid and aquatic body which makes the analysis more complicated. In this research, the main purpose is to investigate the numerical simulation of hydrodynamic flow around the aquatic body regarding dolphin swimming condition. Specifically, considering the precise 2D geometry of a dolphin body, the studied parameters include the drag and lift coefficients, body movement and its effect on vorticity, pressure and velocity fields immediately around the body. According to the results it can be claimed that the body movement frequency and the length of tail motion highly affect the mentioned parameters.
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Type of Study: Research Paper | Subject: CFD
Received: 2019/03/15 | Accepted: 2019/08/13

References
1. Lang, T., (1975), Speed, power, and drag measurements of dolphins and porpoises, in Swimming and flying in nature, p 552-573 [DOI:10.1007/978-1-4757-1326-8_5]
2. Fish, F.E. and Rohr, J., (1999), Review of dolphin hydrodynamics and swimming performance, Space and naval warfare systems commandSan Diego CA. [DOI:10.21236/ADA369158]
3. Fish, F.E., (1993), Power output and propulsive efficiency of swimming bottlenose dolphins Tursiops truncatus, Journal of Experimental Biology, vol. 185, p. 179-193.
4. Fish, F.E., Legac.P., Williams, T.M. and Wei, T., (2014), Measurement of hydrodynamic force generation by swimming dolphins using bubble DPIV, Journal of Experimental Biology, Vol. 217, P. 252-260. [DOI:10.1242/jeb.087924]
5. Yu, J. Su, Z. Wang, M. Tan, M. and Zhang, J., (2012), Control of yaw and pitch maneuvers of a multilink dolphin robot, IEEE Transactions on robotics, Vol. 28, P. 318-329. [DOI:10.1109/TRO.2011.2171095]
6. Shen, F., Cao, Z., Zhou, C., Xu,D. and Gu, N. (2013) Depth control for robotic dolphin based on fuzzy PID control, International Journal of Offshore and Polar Engineering, Vol. 23.
7. Wang, M., Yu, J., Tan, M., Wang, H. and Li, C. (2014), CPG-based multi-modal swimming control for robotic dolphin, Acta Automation Sinica, Vol. 40, pp.1933-1941.
8. Wu, Z., Yu, J., Yuan, J. and Tan, M. (2019), Towards a Gliding Robotic Dolphin: Design, Modeling, and Experiments, IEEE/ASME Transactions on Mechatronics. [DOI:10.1109/TMECH.2019.2891290]
9. Nakashima, M., Tsubaki, T. and Ono, K., (2006), Three-dimensional movement in water of the dolphin robot-control between two positions by roll and pitch combination, Journal of robotics and mechatronics, Vol. 18, P. 347. [DOI:10.20965/jrm.2006.p0347]
10. Li, K., Yu, J., Wu, Z. and Tan, M., (2016), Hydrodynamic analysis of a gliding robotic dolphin based on Computational Fluid Dynamics, In Control Conference (CCC).35.2016 Chinese, P.6008-6013. [DOI:10.1109/ChiCC.2016.7554301]
11. Mohammadshahi, D., Yousefi-Koma, A., Bahmanyar, S. and Maleki, H., (2008), Design, fabrication and hydrodynamic analysis of a biomimetic robot fish, In WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering.
12. Zhou, H., Hu, T., Low, K.H., Shen, L., Ma, Z., Wang, G. et al., (2015), Bio-inspired flow sensing and prediction for fish-like undulating locomotion: A CFD-aided approach, Journal of Bionic Engineering, Vol. 12, P.406-417. [DOI:10.1016/S1672-6529(14)60132-3]
13. Li, R., Chen, J., Huang, Y., Liu, L. and Wang, X., (2018), Numerical Simulation of Hydrodynamic Performance of Dolphin Fluke Motion, In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, P.V07BT06A029-V07BT06A029.
14. Adkins, D., and Yan, Y., (2006), CFD simulation of fish-like body moving in viscous liquid, Journal of Bionic Engineering, Vol.3, P.147-153. [DOI:10.1016/S1672-6529(06)60018-8]
15. Shao, J., Wang, L. and Yu, J., (2008), Development of an artificial fish-like robot and its application in cooperative transportation, Control Engineering Practice, Vol. 16, P. 569-584. [DOI:10.1016/j.conengprac.2007.06.005]
16. Romanenko, E.V.E., (2002), Fish and dolphin swimming: Pensoft Publishers.
17. Riedeberger, D., and Rist, U., (2012), Numerical simulation of laminar-turbulent transition on a dolphin using the γ-Re θ model, In High Performance Computing in Science and Engineering, Vol.11, P. 379-391. [DOI:10.1007/978-3-642-23869-7_28]

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