Numerical prediction of aerodynamic performance for a flying fish during gliding flight

Jian Deng*, Lingxin Zhang, Zhiyou Liu, Xuerui Mao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Flying fish is a family of unique aerial-aquatic animals, which can both swim in the water and glide over the sea surface. Most previous studies on their aerodynamic characteristics were based on field observations or measurements of their morphometric parameters. In the present study, we consider three different flying fish models, of which the preliminary one mimics the Cypselurus hiraii in the pectoral fin morphology, following a previous wind tunnel experiment (Park and Choi 2010 J. Exp. Biol. 213 3269-79). Their aerodynamic performances are numerically studied by the computational fluid dynamics (CFD) method. The maximum lift force coefficient of 1.03 is reached at the angle of attack , and the maximum lift-to-drag ratio of 4.7 is achieved at . By choosing appropriately the center of gravity, the flying fish model is proved to be longitudinally stable, according to the negative slope of pitching moment profile. Furthermore, we build a three-degrees-of-freedom (3-DOF) dynamic model in the longitudinal plane based on the aerodynamic coefficients obtained in our simulations, to predict its gliding performance. The results show that the flying fish can achieve a distance up to 45.4 m, and reach a height of 13.2 m, indicating an extraordinary gliding performance. Our numerical simulations are consistent with previous experimental results and theoretical prediction, which can be taken as the basis of further research on robotic flying fish.

Original languageEnglish
Article number046009
JournalBioinspiration and Biomimetics
Volume14
Issue number4
DOIs
Publication statusPublished - 7 Jun 2019
Externally publishedYes

Keywords

  • Flying fish
  • aerial-aquatic robotics
  • aerodynamics
  • gliding flight

Fingerprint

Dive into the research topics of 'Numerical prediction of aerodynamic performance for a flying fish during gliding flight'. Together they form a unique fingerprint.

Cite this

Deng, J., Zhang, L., Liu, Z., & Mao, X. (2019). Numerical prediction of aerodynamic performance for a flying fish during gliding flight. Bioinspiration and Biomimetics, 14(4), Article 046009. https://doi.org/10.1088/1748-3190/ab23e6