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Main Authors: Han, Tianjun, Mivehchi, Amin, Sarraf, Seyedali Seyedmirzaei, Moored, Keith W.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.01932
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author Han, Tianjun
Mivehchi, Amin
Sarraf, Seyedali Seyedmirzaei
Moored, Keith W.
author_facet Han, Tianjun
Mivehchi, Amin
Sarraf, Seyedali Seyedmirzaei
Moored, Keith W.
contents We present new unconstrained simulations and constrained experiments of a pair of pitching hydrofoils in a leader-follower in-line arrangement. Free-swimming simulations of foils with $matched$ pitching amplitudes show self-organization into stable formations at a constant gap distance without any control. Leading-edge separation on the follower foil plays a crucial role in creating these formations by acting as an additional dynamic drag source on the follower, which depends on the gap spacing and phase synchronization. Over a wide range of phase synchronization, amplitude, and Lighthill number typical of biology, we discover that the stable gap distance scales with the actual wake wavelength of an isolated foil $rather$ $than$ the nominal wake wavelength. A scaling law for the actual wake wavelength is derived and shown to collapse data across a wide Reynolds number range of $200 \leq Re < \infty$. Additionally, in both simulations and experiments $mismatched$ foil amplitudes are discovered to increase the efficiency of hydrofoil schools by 70% while maintaining a stable formation without closed-loop control. This occurs by (1) increasing the stable gap distance between foils such that they are pushed into a high-efficiency zone and (2) raising the level of efficiency in these zones. This study bridges the gap between constrained and unconstrained studies of in-line schooling by showing that constrained-foil measurements can be used as a map of the potential efficiency benefits of schooling. These findings can aid in the design of high-efficiency bio-robot schools and may provide insights into the energetics and behaviour of fish schools.
format Preprint
id arxiv_https___arxiv_org_abs_2410_01932
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tailoring formations of self-organizing hydrofoil schools towards high-efficiency
Han, Tianjun
Mivehchi, Amin
Sarraf, Seyedali Seyedmirzaei
Moored, Keith W.
Fluid Dynamics
We present new unconstrained simulations and constrained experiments of a pair of pitching hydrofoils in a leader-follower in-line arrangement. Free-swimming simulations of foils with $matched$ pitching amplitudes show self-organization into stable formations at a constant gap distance without any control. Leading-edge separation on the follower foil plays a crucial role in creating these formations by acting as an additional dynamic drag source on the follower, which depends on the gap spacing and phase synchronization. Over a wide range of phase synchronization, amplitude, and Lighthill number typical of biology, we discover that the stable gap distance scales with the actual wake wavelength of an isolated foil $rather$ $than$ the nominal wake wavelength. A scaling law for the actual wake wavelength is derived and shown to collapse data across a wide Reynolds number range of $200 \leq Re < \infty$. Additionally, in both simulations and experiments $mismatched$ foil amplitudes are discovered to increase the efficiency of hydrofoil schools by 70% while maintaining a stable formation without closed-loop control. This occurs by (1) increasing the stable gap distance between foils such that they are pushed into a high-efficiency zone and (2) raising the level of efficiency in these zones. This study bridges the gap between constrained and unconstrained studies of in-line schooling by showing that constrained-foil measurements can be used as a map of the potential efficiency benefits of schooling. These findings can aid in the design of high-efficiency bio-robot schools and may provide insights into the energetics and behaviour of fish schools.
title Tailoring formations of self-organizing hydrofoil schools towards high-efficiency
topic Fluid Dynamics
url https://arxiv.org/abs/2410.01932