Department of Mathematics, University of Hawaii at Manoa, Honolulu, HI, 96822, USA.
Pacific Biosciences Research Center, University of Hawaii at Manoa, Honolulu, HI, 96822, USA.
Sci Rep. 2020 Feb 14;10(1):2665. doi: 10.1038/s41598-020-58880-0.
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 used to infer the location and size of the sphere. The key ingredient is to produce strong shear or strain around the sphere, which requires careful tuning of the viscous boundary layer on the moving plate. This elucidates how some organisms and devices may control their unsteady dynamics to enhance their range of perception.
一个带有机械传感器的物体可以通过控制搅拌来远程检测悬浮在周围流体中的颗粒。在这里，我们提出了一种依赖于产生非定常流并感测流场中颗粒引起的变形的传感模式。我们在一个简单的分析模型中演示了基本的物理原理，该模型由一个距离正在进行脉冲或振荡运动的板一定距离的小球形颗粒组成。该模型表明，板上的压力或剪切力的变化可用于推断球体的位置和大小。关键要素是在球体周围产生强剪切或应变，这需要仔细调整运动板上的粘性边界层。这阐明了一些生物和设备如何控制其非定常动力学以增强其感知范围。
