2020
DOI: 10.1038/s41598-020-58880-0
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Active hydrodynamic imaging of a rigid spherical particle

Abstract: A body with mechanical sensors may remotely detect particles suspended in the surrounding fluid via controlled agitation. Here we propose a sensory mode that relies on generating unsteady flow and sensing particle-induced distortions in the flow field. We demonstrate the basic physical principle in a simple analytical model, which consists of a small spherical particle at some distance from a plate undergoing impulsive or oscillatory motion. The model shows that changes in pressure or shear on the plate can be… Show more

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Cited by 7 publications
(6 citation statements)
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“…Thus, Stokes equations neglect the unsteady effects associated with the small, but finite, time scale for vorticity diffusion. These unsteady effects have long been suggested to be used by microswimmers for locomotion (Brennen 1974; Wang & Ardekani 2012; Ishimoto 2013), sensing (Takagi & Strickler 2020) and interacting with each other in a way that is different from what predicted by the Stokes equations (Li, Ostace & Ardekani 2016). Additionally, the unsteadiness alone is also suggested to be sufficient to establish hydrodynamic synchronization in minimal models (Theers & Winkler 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, Stokes equations neglect the unsteady effects associated with the small, but finite, time scale for vorticity diffusion. These unsteady effects have long been suggested to be used by microswimmers for locomotion (Brennen 1974; Wang & Ardekani 2012; Ishimoto 2013), sensing (Takagi & Strickler 2020) and interacting with each other in a way that is different from what predicted by the Stokes equations (Li, Ostace & Ardekani 2016). Additionally, the unsteadiness alone is also suggested to be sufficient to establish hydrodynamic synchronization in minimal models (Theers & Winkler 2013).…”
Section: Introductionmentioning
confidence: 99%
“…However, we suspect that, while the chemical gradient informs the approximate direction that the fish must swim to approach the source of food in a still-water pool [ 28 ], the precise location of any suspended food particle is difficult to identify based on chemical sensing because of the slow diffusion of molecules, which are advected by the fluid flow over a long time before they reach the fish’s chemoreceptors. In contrast, the relatively fast diffusion of momentum through the viscous boundary layer around the fish enables particles near the boundary layer to be located quickly based on mechanical sensing [ 29 ]. Further study is needed to confirm this in a noisy environment.…”
Section: Discussionmentioning
confidence: 99%
“…However, we suspect that, while the chemical gradient informs the approximate direction that the fish must swim to approach the source of food in a still-water pool [20], the precise location of any suspended food particle is difficult to identify based on chemical sensing because of the slow diffusion of molecules, which are advected by the fluid flow over a long time before they reach the fish's chemoreceptors. In contrast, the relatively fast diffusion of momentum through the viscous boundary layer around the fish enables particles near the boundary layer to be located quickly based on mechanical sensing [21]. Further study is needed to confirm this in a noisy environment.…”
Section: Discussionmentioning
confidence: 99%