Hydrodynamic Analysis of a Flopping NACA0012 Hydrofoil and Dolphin Fish-Like Model

Document Type : Regular Article

Authors

PSG College of Technology, Coimbatore, Tamil Nadu, 641004, India

10.47176/jafm.17.4.2153

Abstract

Imitating Dolphin fish-like movement is productive method for enhancing their hydrodynamic capabilities. This work aims to analyze and understand the oscillations of tail fluke of Dolphin, which can be used as a propulsive mechanism for underwater fish robots and vehicles. The objective of the work is to achieve the desired oscillating amplitude by simulating the NACA 0012 profile using computational models and Set up the swimming movement of the dolphin, imitating a fish like model. Computational techniques were employed to examine the propulsive capabilities of the oscillating hydrofoil, inspired by the dolphin's biological propulsion. The evolutionary of fluid pattern in the field surrounding both Dolphin fish model and the NACA0012 hydrofoil, from initial motion to cruising, was established, and the hydrodynamic impact was subsequently studied. An user-defined function (UDF) was developed to create a dynamic mesh interface with CFD code ANSYS FLUENT for establishing the oscillations of Dolphin tail across the flow field. Influencing hydrodynamic coefficients such as lift and drag coefficients at different frequencies were also obtained. The findings shown that when the acceleration of the Dolphin fish model increases, the time averaged drag force coefficient drops because The wake field's vortex disperses to have some beneficial effects and pressure of water surrounding the fish head intensifies to produce a large resistance force. Simulation results show a 98% agreement at lower frequency and speed levels but a 5% deviation at higher frequency and speed due to turbulence effects in both models. It was established that the vortex superposition enhances the Dolphin fish like model rather than lowering its positive impacts.  The Strouhal number, which is obtained by the fluid field's evolution rule, can be linked to the Kármán vortex street span with reverse.

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Anderson, J. M., Streitlien, K., Barrett, D. S., & Triantafyllou, M. S. (1998). Oscillating foils of high propulsive efficiency. Journal of Fluid Mechanics, 360, 41–72. https://doi.org/10.1017/S0022112097008392
Borazjani, I., Sotiropoulos, F., Tytell, E. D., & Lauder, G. V. (2012). Hydrodynamics of the bluegill sunfish C-start escape response: three-dimensional simulations and comparison with experimental data, The Journal of Experimental Biology, 215(4), 671–684. https://doi.org/10.1242/jeb.063016
Borazjani, I., & Sotiropoulos, F. (2008). Numerical investigation of the hydrodynamics of carangiform swimming in the transitional and inertial flow regimes. The Journal of Experimental Biology, 211, 1541–1558. https://doi.org/10.1242/jeb.015644
Brücker, C., & Bleckmann, H. (2007). Vortex dynamics in the wake of a mechanical fish. Experiments in Fluids, 43,799–810. https://doi.org/10.1007/s00348-007-0359-2
Chen, H. W., Zhang, P. F., Zhang, L. W., Liu, H. L., Jiang, Y., Zhang, D. Y.,   & Jiang, L. (2016). Continuous directional water transport on the peristome surface of Nepenthes alata. Nature, 532, 85–89. https://doi.org/10.1038/nature17189
Gen‐Jin D., & Xi-Yun L. (2005). Numerical analysis on the propulsive performance and vortex shedding of fish-like traveling wavy plate, International Journal for Numerical Methods in Fluid, 48(12), 1351–1373. https://doi.org/10.1002/fld.984
Guo, X. Q., Chen, D., & Liu, H. (2015). Does a revolving wing stall at low Reynolds numbers. Journal of Biomechanical Science and Engineering, 10, 1–10. https://doi.org/10.1299/jbse.15-00588
Hemmati, A., Van Buren, T., & Smits, A. J. (2019). Effects of trailing edge shape on vortex formation by pitching pan-els of small aspect ratio. Physical Review Fluids, 033101(4), 1-27. https://doi.org/10.1103/PhysRevFluids.4.033101
Jindong L., & Huosheng H. (2004). A 3D simulator for robotic fish, International Journal of Automation and Computing, 1(1), 42-50. https://doi.org/10.1007/s11633-004-0042-5 
Lauder, G. V. (2011). Swimming hydrodynamics: Ten questions and the technical approaches needed to resolve them. Experiments in Fluids, 51, 23–35. https://doi.org/10.1007/s00348-009-0765-8
Leroyer, A., & Visonneau, M. (2005). Numerical methods for RANSE simulations of a self-propelled fish-like body, Journal of Fluids and Structures, 20 (7), 975-991. https://doi.org/10.1016/j.jfluidstructs.2005.05.007
Li, N., Liu, H., & Su, Y. (2017). Numerical study on the hydrodynamics of thunniform bio-inspired swimming under self-propulsion. PloS One, 12(3), 1-36. https://doi.org/10.1371/journal.pone.0174740
Mohammadshahi, D., Yousefi-Koma, & Bahmanya (2008, May 27-30). Design, fabrication and hydrodynamic analysis of a biomemettic fish. 10th WSEAS Int. Conf. on Automatic Control, Modelling & Simulation (ACMOS'08), Istanbul, Turkey. https://www.researchgate.net/publication/233379444_Design_Fabrication_and_Hydrodynamic_Analysis_of_a_Biomimetic_Robot_Fish
Ou X., Aiguo S., Ji Y., Qixin Z. & Yong Y. (2020). Study on hydrodynamics of a flexible fishlike foil undulating in wall effect, Engineering Applications of Computational Fluid Mechanics, 14(1), 593-606. https://doi.org/10.1080/19942060.2020.1745891
Ren, G., Dai, Y., Cao, Z., & Shen, F. (2015). Research on the implementation of average speed for a bionic robotic dolphin, Robotics and Autonomous Systems, 74, 184–194. https://doi.org/10.1016/j.robot.2015.07.014
Strefling, P. C., Hellum, A. M., & Mukherjee, R. (2011). Modeling, simulation, and performance of a synergistically propelled ichthyoids. IEEE/RSJ International Conference on Intelligent Robots and Systems IEEE/ASME Trans. Mechatronics, 17(1), 36–45. San Francisco, CA, USA https://ieeexplore.ieee.org/document/6094934
Triantafyllou, M. S., Triantafyllou, G. S. (2000). Hydrodynamics of fishlike swimming, Annual Review of Fluid Mechanics, 32, 33–53. https://doi.org/10.1146/annurev.fluid.32.1.33
Wang, C., Tai, H., & Huang, H. R. (2015). Design and development of an autonomous underwater vehicle–robot dolphin, Journal of Marine Engineering & Technology, 14(1): 44–55. https://doi.org/10.1080/20464177.2015.1022383
Wang, Z., Huang, B., Zhang, M., Wang, G., & Zhao, X. (2018). Experimental and numerical investigation of ventilated cavitating flow structures with special emphasis on vortex shedding dynamics. International Journal of Multiphase Flow, 98, 79–95. https://doi.org/10.1016/j.ijmultiphaseflow.2017.08.014
Wen, L., Wang, T. M., Wu, G. H., & Liang, J. H. (2013). Quantitative thrust efficiency of a self-propulsive robotic fish: Experimental method and hydrodynamic investigation. IEEE/ASME Transactions on Mechatronics, 18, 1027–1038. https://doi.org/10.1109/TMECH.2012.2194719
Wu, Z., Yu, J., & Su, Z. (2015, September 6-9). Design and CFD analysis for a biomimetic dolphin-like underwater glider. Proceedings of International Conference on CLAWAR.
Xue G., Liu Y., Si W., Xue Y., Guo F. & Li Z. (2020). Evolvement rule and hydrodynamic effect of fluid field around fish-like model from starting to cruising. Engineering Applications of Computational Fluid Mechanics, 14(1), 580-592. https://doi.org/10.1080/19942060.2020.1734095
Zhang, Y. R., Kihara, H., & Abe, K. (2018). Three-dimensional simulation of a self-propelled fish-like body swimming in a channel. Engineering Applications of Computational Fluid Mechanics, 12(1), 473–492. https://doi.org/10.1080/19942060.2018.
Zhou, H., Hu, T., & Low, K. H. (2015). Bio-inspired flow sensing and prediction for fish-like undulating locomotion: A CFD aided approach, Journal of Bionic Engineering, 12(3), 406–417. https://doi.org/10.1016/S1672-6529(14)60132-3