Publikation: Tailbeat perturbations improve swimming efficiency by reducing the phase lag between body motion and the resulting fluid response
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Understanding how animals swim efficiently and generate high thrust in complex fluid environments is of considerable interest to researchers in various fields, including biology, physics, and engineering. However, the influence of oftenoverlooked perturbations on swimming fish remains largely unexplored. Here, we investigate the propulsion generated by oscillating tailbeats with superimposed rhythmic perturbations of high-frequency and low-amplitude. We reveal, using a combination of experiments in a bio-mimetic fish-like robotic platform, computational fluid dynamics (CFD) simulations, and theoretical analysis, that rhythmic perturbations can significantly increase both swimming efficiency and thrust production. The introduction of perturbations increases pressure-induced thrust, while reduced phase lag between body motion and the subsequent fluid dynamics response improves swimming efficiency. Moreover, our findings suggest that beneficial perturbations are sensitive to kinematic parameters, resolving previous conflicts regarding the effects of such perturbations. Our results highlight the potential benefits of introducing perturbations in propulsion generators, providing potential hypotheses for living systems and inspiring the design of artificial flapping-based propulsion systems.
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CHAO, Li-Ming, Laibing JIA, Wang SIYUAN, Alexander LIBERZON, Sridhar RAVI, Iain D. COUZIN, Liang LI, 2024. Tailbeat perturbations improve swimming efficiency by reducing the phase lag between body motion and the resulting fluid response. In: PNAS Nexus. Oxford University Press (OUP). 2024, 3(3), pgae073. eISSN 2752-6542. Verfügbar unter: doi: 10.1093/pnasnexus/pgae073BibTex
@article{Chao2024-02-29Tailb-69371, year={2024}, doi={10.1093/pnasnexus/pgae073}, title={Tailbeat perturbations improve swimming efficiency by reducing the phase lag between body motion and the resulting fluid response}, number={3}, volume={3}, journal={PNAS Nexus}, author={Chao, Li-Ming and Jia, Laibing and Siyuan, Wang and Liberzon, Alexander and Ravi, Sridhar and Couzin, Iain D. and Li, Liang}, note={Article Number: pgae073} }
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