Skip to main content
Log in

Effects of stroke deviation on the aerodynamics of the smallest flying insects

  • Published:
Journal of Engineering Mathematics Aims and scope Submit manuscript

Abstract

In this study, mathematical modeling of fluid flow and numerical simulations were used to determine the effects of adding small amplitude stroke deviation to the typical normal-hovering mode on the aerodynamics of small insect flight at Reynolds numbers (Re) in the range 4–20. Here, “small” implies that the ratio of surging to plunging amplitude is much less than unity. The immersed boundary method was used to solve the fully coupled fluid–structure interaction problem of a wing immersed in a two-dimensional viscous fluid. Different types of surging motion with a small amplitude were added to the typical normal-hovering mode that has no stroke deviation to generate two oval-shaped and two figure-eight trajectories. The results of this study suggest that for Re in the range 4–20, adding small amplitude stroke deviation to the typical normal-hovering mode has a modest influence on the time-averaged vertical force and aerodynamic efficiency. The impact on the instantaneous aerodynamic forces (pressure, viscous, and vertical forces), however, is considerable. This, in turn, is very likely to considerably alter the noise characteristics of the wing. The small impact on the time-averaged vertical force results from the trajectories with stroke deviation consisting of sub-intervals with large gains and sub-intervals with large losses in the instantaneous vertical force relative to the typical normal-hovering mode nearly offsetting each other. Adding small amplitude stroke deviation to the typical normal-hovering mode that is considered to be incapable of enabling flight at the scale of tiny insects does not seem to offer any significant benefit in terms of weight-supporting capability. Nevertheless, this study may inform the development of miniature drones that utilize the typical normal-hovering mode for staying aloft.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29
Fig. 30
Fig. 31
Fig. 32

Similar content being viewed by others

References

  1. Miller LA, Peskin CS (2004) When vortices stick: an aerodynamic transition in tiny insect flight. J Exp Biol 207:3073–3088

    Article  Google Scholar 

  2. Miller LA, Peskin CS (2005) A computational fluid dynamics study of clap and fling in the smallest insects. J Exp Biol 208:195–212

    Article  Google Scholar 

  3. Miller LA, Peskin CS (2009) Flexible clap and fling in tiny insect flight. J Exp Biol 212:3076–3090

    Article  Google Scholar 

  4. Wang ZJ (2000) Two dimensional mechanism for insect hovering. Phys Rev Lett 85(10):2216

    Article  Google Scholar 

  5. Zz WANG, Yq LIU, Min S et al (2019) Parasitoid wasps as effective biological control agents. J Integr Agric 18(4):705–715

    Article  Google Scholar 

  6. Jones S, Laurenza R, Hedrick TL et al (2015) Lift vs. drag based mechanisms for vertical force production in the smallest flying insects. J Theoret Biol 384:105–120

    Article  MATH  Google Scholar 

  7. Morse JG, Hoddle MS (2006) Invasion biology of thrips. Annu Rev Entomol 51:67–89

    Article  Google Scholar 

  8. Shogren C, Paine T (2016) Economic benefit for cuban laurel thrips biological control. J Econ Entomol 109(1):93–99

    Article  Google Scholar 

  9. Ellington C (1999) The novel aerodynamics of insect flight: applications to micro-air vehicles. J Exp Biol 202(23):3439–3448

    Article  Google Scholar 

  10. Sane SP (2003) The aerodynamics of insect flight. J Exp Biol 206:4191–4208

    Article  Google Scholar 

  11. Weis-Fogh T (1973) Quick estimates of flight fitness in hovering animals, including novel mechanisms for lift production. J Exp Biol 59:169–230

    Article  Google Scholar 

  12. Horridge GA (1956) The flight of very small insects. Nature 178:1334–1335

    Article  Google Scholar 

  13. Ellington CP (1984) The aerodynamics of hovering insect flight. IV. Aerodynamic mechanisms. Philos Trans R Soc Lond B Biol Sci 305:79–113

    Article  Google Scholar 

  14. Ristroph L, Bergou AJ, Guckenheimer J et al (2011) Paddling mode of forward flight in insects. Phys Rev Lett 106(17):178,103

    Article  Google Scholar 

  15. Wang ZJ (2004) The role of drag in insect hovering. J Exp Biol 207(23):4147–4155

    Article  Google Scholar 

  16. Miller L, Senter M, Jones S, et al (2020) Flexible clap and peel in the smallest insects. In: APS Division of Fluid Dynamics Meeting Abstracts, pp X02–014

  17. Aghav H, Miller L (2021) Two-dimensional aerodynamic analysis of flight in the smallest insects. Bull Am Phys Soc

  18. Santhanakrishnan A, Miller L, Lowe A et al (2013) Clap and fling in tiny insect flight: role of the porous flow introduced by bristled wings. Integr Compar Biol 53(S1):E189

    Google Scholar 

  19. Jones SK, Yun YJ, Hedrick TL et al (2016) Bristles reduce the force required to fling wings apart in the smallest insects. J Exp Biol 219(23):3759–3772

    Article  Google Scholar 

  20. Ford MP, Kasoju VT, Gaddam MG et al (2019) Aerodynamic effects of varying solid surface area of bristled wings performing clap and fling. Bioinspir Biomimet 14(4):046,003

    Article  Google Scholar 

  21. Kasoju VT, Santhanakrishnan A (2021) Aerodynamic interaction of bristled wing pairs in fling. Phys Fluids 33(3):031,901

    Article  Google Scholar 

  22. Kasoju VT, Moen DS, Ford MP et al (2021) Interspecific variation in bristle number on forewings of tiny insects does not influence clap-and-fling aerodynamics. J Exp Biol 224(18):jeb239,798

    Article  Google Scholar 

  23. Lee SH, Kim D (2017) Aerodynamics of a translating comb-like plate inspired by a fairyfly wing. Phys Fluids 29(081):902

    Google Scholar 

  24. O’Callaghan F, Sarig A, Ribak G et al (2022) Efficiency and aerodynamic performance of bristled insect wings depending on Reynolds number in flapping flight. Fluids 7(2):75

    Article  Google Scholar 

  25. Sato K, Takahashi H, Minh-Dung N, et al (2013) Effectiveness of bristled wing of thrips. In: 2013 IEEE 26th international conference on micro electro mechanical systems (MEMS). IEEE, pp 21–24

  26. Jiang Y, Zhao P, Cai X et al (2022) Bristled-wing design of materials, microstructures, and aerodynamics enables flapping flight in tiny wasps. Iscience 25(1):103,692

    Article  Google Scholar 

  27. Sun M, Yu X (2006) Aerodynamic force generation in hovering flight in a tiny insect. AIAA J 44(7):1532–1540

    Article  Google Scholar 

  28. Cheng X, Sun M (2018) Very small insects use novel wing flapping and drag principle to generate the weight-supporting vertical force. J Fluid Mech 855:646–670

    Article  MATH  Google Scholar 

  29. Cheng X, Sun M (2019) Revisiting the clap-and-fling mechanism in small wasp encarsia formosa using quantitative measurements of the wing motion. Phys Fluids 31(10):101,903

    Article  Google Scholar 

  30. Cheng X, Sun M (2021) Wing kinematics and aerodynamic forces in miniature insect encarsia formosa in forward flight. Physics of Fluids 33(2):021,905

    Article  MathSciNet  Google Scholar 

  31. Engels T, Kolomenskiy D, Lehmann FO (2021) Flight efficiency is a key to diverse wing morphologies in small insects. J R Soc Interface 18(183):20210,518

    Article  Google Scholar 

  32. Farisenkov SE, Kolomenskiy D, Petrov PN, et al (2021) A novel flight style allowing the smallest featherwing beetles to excel. bioRxiv

  33. Farisenkov SE, Kolomenskiy D, Petrov PN, et al (2022) Novel flight style and light wings boost flight performance of tiny beetles. Nature 1–5

  34. Kolomenskiy D, Farisenkov S, Engels T et al (2020) Aerodynamic performance of a bristled wing of a very small insect. Exp Fluids 61(9):1–13

    Article  Google Scholar 

  35. Ellington CP, Van Den Berg C, Willmott AP et al (1996) Leading-edge vortices in insect flight. Nature 384(6610):626–630

    Article  Google Scholar 

  36. Hu F, Liu X (2019) Effects of stroke deviation on hovering aerodynamic performance of flapping wings. Phys Fluids 31(11):111,901

    Article  Google Scholar 

  37. Lua KB, Lee Y, Lim T et al (2016) Aerodynamic effects of elevating motion on hovering rigid Hawkmothlike wings. AIAA J 54(8):2247–2264

    Article  Google Scholar 

  38. Sane SP, Dickinson MH (2001) The control of flight force by a flapping wing: lift and drag production. J Exp Biol 204(15):2607–2626

    Article  Google Scholar 

  39. Jones SK (2016) A computational fluid dynamics study of the smallest flying insects. PhD thesis, The University of North Carolina at Chapel Hill

  40. Wang ZJ, Birch JM, Dickinson MH (2004) Unsteady forces and flows in low Reynolds number hovering flight: two-dimensional computations vs robotic wing experiments. J Exp Biol 207(3):449–460

    Article  Google Scholar 

  41. Jensen M (1956) Biology and physics of locust flight. III. The aerodynamics of locust flight. Philosoph Trans R Soc Lond Ser B Biol Sci 239(667):511–552

    Google Scholar 

  42. Nachtigall W (1973) Insects in flight: a glimpse behind the scenes in biophysical research. McGraw-Hill, New York

    Google Scholar 

  43. Peskin CS (1972) Flow patterns around heart valves: a numerical method. J Comput Phys 10(2):252–271

    Article  MathSciNet  MATH  Google Scholar 

  44. Peskin CS (1977) Numerical analysis of blood flow in the heart. J Comput Phys 25(3):220–252

    Article  MathSciNet  MATH  Google Scholar 

  45. Peskin CS (2002) The immersed boundary method. Acta Numer 11:479–517

    Article  MathSciNet  MATH  Google Scholar 

  46. Griffith BE, Luo X, McQueen DM et al (2009) Simulating the fluid dynamics of natural and prosthetic heart valves using the immersed boundary method. Int J Appl Mech 1(01):137–177

    Article  Google Scholar 

  47. Hoover AP, Griffith BE, Miller LA (2017) Quantifying performance in the medusan mechanospace with an actively swimming three-dimensional jellyfish model. J Fluid Mech 813:1112–1155

    Article  MathSciNet  MATH  Google Scholar 

  48. Miles JG, Battista NA (2019) Naut your everyday jellyfish model: exploring how tentacles and oral arms impact locomotion. Fluids 4(3):169

    Article  Google Scholar 

  49. Taheri A (2018) Lagrangian coherent structure analysis of jellyfish swimming using immersed boundary FSI simulations. J Mech Civ Eng 15(1):69–74

    Google Scholar 

  50. Lim S, Peskin CS (2012) Fluid-mechanical interaction of flexible bacterial flagella by the immersed boundary method. Phys Rev E 85(3):036,307

    Article  Google Scholar 

  51. Maniyeri R, Suh YK, Kang S et al (2012) Numerical study on the propulsion of a bacterial flagellum in a viscous fluid using an immersed boundary method. Comput Fluids 62:13–24

    Article  MathSciNet  MATH  Google Scholar 

  52. Griffith B (2013) Ibamr: an adaptive and distributed-memory parallel implementation of the immersed boundary method

  53. Hornung RD, Wissink AM, Kohn SR (2006) Managing complex data and geometry in parallel structured AMR applications. Eng Comput 22(3):181–195

    Article  Google Scholar 

  54. Wissink AM, Hornung RD, Kohn SR, et al (2001) Large scale parallel structured AMR calculations using the Samrai framework. In: Proceedings of the 2001 ACM/IEEE conference on Supercomputing, p 6

  55. Balay S, Gropp WD, McInnes LC, et al (1997) Efficient management of parallelism in object-oriented numerical software libraries. In: Modern software tools for scientific computing. Springer, New York, pp 163–202

  56. Balay S, Buschelman K, Eijkhout V, et al (2008) Petsc users manual tech. rep. Tech. rep., ANL-95/11-Revision 3.0. Argonne National Laboratory

  57. Falgout R, Cleary A, Jones J, et al (2010) Hypre: high performance preconditioners. Users Manual Version 1

  58. Falgout RD, Yang UM (2002) hypre: A library of high performance preconditioners. In: International Conference on Computational Science. Springer, New York, pp 632–641

  59. Kirk BS, Peterson JW, Stogner RH et al (2006) libmesh: a c++ library for parallel adaptive mesh refinement/coarsening simulations. Eng Comput 22(3):237–254

    Article  Google Scholar 

  60. Harrison C (2021) Visualization and analysis of hpc simulation data with visit. PhD thesis, Lawrence Livermore National Laboratory

  61. Luo G, Du G, Sun M (2018) Effects of stroke deviation on aerodynamic force production of a flapping wing. AIAA J 56(1):25–35

    Article  Google Scholar 

  62. Seo JH, Menon K, Mittal R (2022) A method for partitioning the sources of aerodynamic loading noise in vortex dominated flows. Phys Fluids

  63. Ellington CP (1984) The aerodynamics of hovering insect flight. III. Kinematics. Philos Trans R Soc Lond B Biol Sci 305:41–78

    Article  Google Scholar 

  64. Lehmann FO, Pick S (2007) The aerodynamic benefit of wing-wing interaction depends on stroke trajectory in flapping insect wings. J Exp Biol 210(8):1362–1377

    Article  Google Scholar 

  65. Lehmann FO, Sane SP, Dickinson M (2005) The aerodynamic effects of wing-wing interaction in flapping insect wings. J Exp Biol 208(16):3075–3092

    Article  Google Scholar 

  66. Lighthill M (1973) On the Weis-Fogh mechanism of lift generation. J Fluid Mech 60(1):1–17

    Article  MathSciNet  MATH  Google Scholar 

  67. Mao S, Xin Y (2003) Flows around two airfoils performing fling and subsequent translation and translation and subsequent clap. Acta Mech Sin 19(2):103–117

    Article  MathSciNet  Google Scholar 

  68. Maxworthy T (1979) Experiments on the Weis-Fogh mechanism of lift generation by insects in hovering flight. Part 1. Dynamics of the fling. J Fluid Mech 93(1):47–63

    Article  Google Scholar 

  69. Spedding G, Maxworthy T (1986) The generation of circulation and lift in a rigid two-dimensional fling. J Fluid Mech 165:247–272

    Article  Google Scholar 

Download references

Acknowledgements

High-Performance computing resources for this work were provided by the University of Arizona’s Research Data Center (RDC). The author thanks the anonymous reviewers for their constructive comments that greatly improved the manuscript.

Funding

This research received no external funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hrithik Aghav.

Ethics declarations

Conflicts of interest

There is no conflict of interest or competing interests associated with this project.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix A: Variation of non-dimensional forces with dimensionless time for all the stroke patterns

Appendix A: Variation of non-dimensional forces with dimensionless time for all the stroke patterns

The following figures (Figures 33, 34, 35, 36, and 37) present the variation of \(C_\mathrm{{H}}\) and \(C_\mathrm{{V}}\) with non-dimensional time during the third and fourth stroke cycles for all the stroke patterns considered in this study.

Fig. 33
figure 33

a \(C_\mathrm{{H}}\) and b \(C_\mathrm{{V}}\) as a function of dimensionless time during the third and fourth stroke cycles for pattern A

Fig. 34
figure 34

a \(C_\mathrm{{H}}\) and b \(C_\mathrm{{V}}\) as a function of dimensionless time during the third and fourth stroke cycles for pattern OU

Fig. 35
figure 35

a \(C_\mathrm{{H}}\) and b \(C_\mathrm{{V}}\) as a function of dimensionless time during the third and fourth stroke cycles for pattern OD

Fig. 36
figure 36

a \(C_\mathrm{{H}}\) and b \(C_\mathrm{{V}}\) as a function of dimensionless time during the third and fourth stroke cycles for pattern EU

Fig. 37
figure 37

a \(C_\mathrm{{H}}\) and b \(C_\mathrm{{V}}\) as a function of dimensionless time during the third and fourth stroke cycles for pattern ED

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aghav, H. Effects of stroke deviation on the aerodynamics of the smallest flying insects. J Eng Math 137, 4 (2022). https://doi.org/10.1007/s10665-022-10242-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10665-022-10242-7

Keywords

Navigation