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The energy-saving advantages of burst-and-glide mode for thunniform swimming

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Abstract

This paper explores the energy-saving advantages of the burst-and-glide swimming and compares it with the normal self-swimming for a thunniform swimmer. The virtual swimmer allows us to perform controlled numerical experiments by varying the swinging tail number and the duty cycle while keeping the other parameters fixed. 3-D Navier-Stokes equations are used to compute the viscous flow over the swimmer. The user-defined functions and the dynamic mesh technology are used to simulate the burst-and-glide swimming. The results show that with the increase of the swinging tail number or the duty cycle, the swimming velocity, the power and the efficiency all increase, but the velocity-power ratio decreases somewhat. Therefore, choosing smaller swinging tail number and duty cycle is beneficial in reducing the power and increasing the velocity-power ratio, and thus to obtain the same velocity, less power is consumed. And to swim the same distance, the energy can significantly be saved. The power consumption, the efficiency and the velocity-power ratio in the burst-and-glide case are 43.9%, 40.6% and 1.15 times of those in the normal swimming case, respectively. The flow structures clearly show the evolution process around the fish in the burst-and-glide swimming. The findings can be used to reasonably plan the swimming action and to take the advantage of the external flow field energy for the fishlike robot, to be more efficient and energy-saving.

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References

  1. Takagi T., Tamura Y., Weihs D. Hydrodynamics and energy-saving swimming techniques of pacific Bluefin tuna [J]. Journal of Theoretical Biology, 2013, 336(5): 158–172.

    Article  MATH  Google Scholar 

  2. Ribak G., Weihs D., Arad Z. Submerged swimming of the great phalacorax carbo sinensis is a variant of the burstand-glide gait [J]. Journal of Experimental Biology, 2005, 208(20): 3835–3849.

    Article  Google Scholar 

  3. Shoele K., Zhu Q. Drafting mechanisms between a dolphin mother and calf [J]. Journal of Theoretical Biology, 2015, 382(10): 363–377.

    Article  MathSciNet  MATH  Google Scholar 

  4. Ribak G., Weihs D., Arad Z. Consequences of buoyancy to the maneuvering capabilities of a foot-propelled aquatic predator, the great cormorant (phalcrocorax carbo sinensis) [J]. Journal of Experimental Biology, 2008, 211(18): 3009–3019.

    Article  Google Scholar 

  5. Fish F. E., Murray M. M. Hydrodynamic flow control in marine mammals [J]. Integrative and Comparative Biology, 2008, 48(6): 788–800.

    Article  Google Scholar 

  6. Yang Y., Wu G. H., Yu Y. L. et al. Two-dimensional self-propelled fish motion in medium: an integrated method for deforming body dynamics and unsteady fluid dynamics [J]. Chinese Physics Letters, 2008, 25(2): 597–600.

    Article  Google Scholar 

  7. Chueng M. H. On burst-and-glide swimming performance in fishlike locomotion [J]. Bioinspiration and Biomimetics, 2009, 4(3): 1–12.

    Google Scholar 

  8. Muller U. K., Boogaart J. G. M., Leeuwen J. V. L. Flow patterns of larval fish: undulatory swimming in the intermediate flow regime [J]. Journal of Experimental Biology, 2008, 211(2): 196–205.

    Article  Google Scholar 

  9. Wu G. H., Yang Y., Zeng L. J. Kinematics, hydrodynamics and energetic advantages of burst-and-glide swimming of koi carps(Cyprinus carpio koi) [J]. Journal of Experimental Biology, 2007, 210(12): 2181–2191.

    Article  Google Scholar 

  10. Fish F. E., Legac P., Williams T. M. Measurement of hydrodynamic force generation by swimming dolphins using bubble DPIV [J]. Journal of Experimental Biology, 2014, 217(2): 252–260.

    Article  Google Scholar 

  11. Alben S., Miller L. A., Peng J. Efficient kinematics for jet-propelled swimming [J]. Journal of Fluid Mechanics, 2013, 733: 100–133.

    Article  MATH  Google Scholar 

  12. Quinn D. B., Lauder G. V., Smits A. J. Scaling the propulsive performance of heaving flexible panels [J]. Journal of Fluid Mechanics, 2014, 738: 250–267.

    Article  Google Scholar 

  13. Leftwich M. C., Tytell E. D., Cohen A. H. Wake structures behind a swimming robotic lamprey with a passively flexible tail [J]. Journal of Experimental Biology, 2012, 215(3): 416–425.

    Article  Google Scholar 

  14. Battista N. A., Baird A. J., Miller L. A. A mathematical model and MATLAB code for muscle-fluid-structure simulations [J]. Integrative and Comparative Biology, 2015, 55(5): 901–911.

    Article  Google Scholar 

  15. Xia D., Chen W., Liu J. et al. The three-dimensional hydrodynamics of thunniform swimming under self-propulsion [J]. Ocean Engineering, 2015, 110: 1–14.

    Article  Google Scholar 

  16. Bottom R. G., Borazkani I., Blevins E. L. et al. Hydrodynamics of swimming in stingrays: Numerical simulations and the role of the leading-edge vortex [J]. Journal of Fluid Mechanics, 2016, 788: 407–443.

    Article  MathSciNet  MATH  Google Scholar 

  17. Zhu Q., Shoele K. Propulsion performance of a skeleton strengthened fin [J]. Journal of Experimental Biology, 2008, 211(13): 2087–2100.

    Article  Google Scholar 

  18. Borazkani I., Sotiropoulos F. On the role of form and kinematics on the hydrodynamics of self-propelled body/ caudal fin swimming [J]. Journal of Experimental Biology, 2010, 213(1): 89–107.

    Article  Google Scholar 

  19. Calovi D. S., Litchinko A., Lecheval V. et al. Disentangling and modeling interactions in fish with burst-and-coast swimming reveal distinct alignment and attraction behaviors [J]. Plos Computational Biology, 2018, 14(1): 1–28.

    Article  Google Scholar 

  20. Shoele K., Zhu Q. Leading edge strengthening and the propulsion performance of flexible ray fins [J]. Journal of Fluid Mechanics, 2012, 693: 402–432.

    Article  MATH  Google Scholar 

  21. Xia D., Chen W. S., Liu J. K. et al. Using spanwise flexibility of caudal fin to improve swimming performance for small fishlike robots [J]. Journal of Hydrodynamics, 2018, 30(5): 859–871.

    Article  Google Scholar 

  22. Schultz W. W. Power Requirements of swimming: Do new methods resolve old questions? [J. Integrative and Comparative Biology, 2002, 42(5): 1018–1025.

    Article  MathSciNet  Google Scholar 

  23. Yuan H. T., Hu W. R. A numerical study of tadpole swimming in the wake of a D-section cylinder [J]. Journal of Hydrodynamics, 2017, 29(6): 1044–1053.

    Article  Google Scholar 

  24. Tytell E. D., Lauder G. V. The hydrodynamics of eel swimming–I. Wake structure [J]. Journal of Experimental Biology, 2004, 207(11): 1825–1841.

    Article  Google Scholar 

  25. Neveln I. D., Bale R., Bhalla A. P. S. Undulating fins produce off-axis thrust and flow structures [J]. Journal of Experimental Biology, 2014, 217(2): 201–213.

    Article  Google Scholar 

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Acknowledgement

This work was supported by the State Key Laboratory of Robotics and System, Harbin Institute of Technology ( SKLRS-2018-KF-11).

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Correspondence to Dan Xia  (夏丹).

Additional information

Project supported by the National Natural Science Foundation of China (Grant Nos. 51875101, 51375085).

Biography: Dan Xia (1982-), Male, Ph. D., Associate Professor

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Xia, D., Chen, Ws., Liu, Jk. et al. The energy-saving advantages of burst-and-glide mode for thunniform swimming. J Hydrodyn 30, 1072–1082 (2018). https://doi.org/10.1007/s42241-018-0120-8

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  • DOI: https://doi.org/10.1007/s42241-018-0120-8

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