Literature DB >> 35771996

An Adaptable Flying Fish Robotic Model for Aero- and Hydrodynamic Experimentation.

Valeria Saro-Cortes1, Yuhe Cui2, Tierney Dufficy2, Arsanious Boctor2, Brooke E Flammang3, Aimy W Wissa1.   

Abstract

Flying fishes (family Exocoetidae) are known for achieving multi-modal locomotion through air and water. Previous work on understanding this animal's aerodynamic and hydrodynamic nature has been based on observations, numerical simulations, or experiments on preserved dead fish, and has focused primarily on flying pectoral fins. The first half of this paper details the design and validation of a modular flying fish inspired robotic model organism (RMO). The second half delves into a parametric aerodynamic study of flying fish pelvic fins, which to date have not been studied in-depth. Using wind tunnel experiments at a Reynolds number of 30,000, we investigated the effect of the pelvic fin geometric parameters on aerodynamic efficiency and longitudinal stability. The pelvic fin parameters investigated in this study include the pelvic fin pitch angle and its location along the body. Results show that the aerodynamic efficiency is maximized for pelvic fins located directly behind the pectoral fins and is higher for more positive pitch angles. In contrast, pitching stability is neither achievable for positive pitching angles nor pelvic fins located directly below the pectoral fin. Thus, there is a clear a trade-off between stability and lift generation, and an optimal pelvic fin configuration depends on the flying fish locomotion stage, be it gliding, taxiing, or taking off. The results garnered from the RMO experiments are insightful for understanding the physics principles governing flying fish locomotion and designing flying fish inspired aerial-aquatic vehicles.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.

Entities:  

Year:  2022        PMID: 35771996     DOI: 10.1093/icb/icac101

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  1 in total

1.  Bioinspired robots walk, swim, slither and fly.

Authors:  Neil Savage
Journal:  Nature       Date:  2022-09-29       Impact factor: 69.504

  1 in total

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