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Detecting fluid flows with bioinspired hair sensors.

机译:利用受生物启发的头发传感器检测流体流动。

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摘要

Many animals detect prey or enhance their locomotion with information from hair-like receptors that are activated by local fluid flows. The utility of biological hair receptors has motivated the design of artificial hair sensors (AHS) for flow control applications where aerodynamic or hydrodynamic forces play a significant role in the dynamics of a body. Among the potential applications for AHS are low-Reynolds number flyers for enhanced maneuverability and underwater vehicles for greater efficiency while navigating. For such applications, how flow phenomena related to aerodynamically or hydrodynamically important forces can be detected through the mechanical response of AHS must be understood. In this collection of manuscripts, we investigate the utility of AHS for detecting flow phenomena pertinent to these applications.;The shape of a boundary layer flow is another means of detecting flow separation and is also related to the local wall shear-stress. Here, we determine the hair lengths relative to a general measure of boundary layer thickness that maximizes output sensitivity to changes in boundary layer shape. The range of computed optimal hair lengths is in close agreement with the range of hair receptor lengths measured on three bat species. A tapered hair profile is shown to provide larger sensitivities over a wider range of flow conditions compared to hairs of uniform cross section.;The feedback of surface mounted AHS measurements for accurate flow state estimation away from the wall is important for effective flow control design. A linear quadratic Gaussian observer is designed for an unsteady viscous incompressible flow with hair sensor arrays. Here, the Riccati equation was numerically solved using the modified Kleinman-Newton method combined with a snapshot procedure for solving Lyapunov equations. We show that measurements provided by two patches of hair sensor arrays significantly contributes to the estimation of a nearby region of the flow velocity field.;The results herein support artificial hair sensors as an effective means of detecting flow phenomena important to the dynamics of bodies in fluid flows. Within the following manuscripts, contributions are also made to biology, artificial hair sensor design and application, and linear control theory.;One aerodynamically adverse phenomena of low-Reynolds number flight is boundary layer separation. By modeling each hair as a viscoelastic beam coupled to its local flow environment, the dynamic and mechanical response of a hair sensor array was simulated in unsteady flow separation. We show that the resultant moment at the base of each hair sensor in the array provides a space and time accurate representation of the onset and span of reversed flow, the location of the point of zero wall shear-stress, the formation and relative position of near wall vortices, and the spatial development and evolution of boundary layer flows.
机译:许多动物会通过局部流体流动激活的头发状受体的信息来检测猎物或增强其运动能力。生物头发感受器的实用性推动了人工毛发传感器(AHS)的设计,该设计用于在空气动力学或流体动力学力在人体动力学中起重要作用的流量控制应用中。 AHS的潜在应用包括可提高机动性的低雷诺数飞行器,以及在航行时可提高效率的水下航行器。对于此类应用,必须理解如何通过AHS的机械响应来检测与空气动力学或流体力学重要作用力有关的流动现象。在这一系列的手稿中,我们研究了AHS在检测与这些应用相关的流现象中的实用性。边界层流的形状是检测流分离的另一种方法,并且还与局部壁面剪应力有关。在这里,我们确定相对于边界层厚度一般度量的头发长度,该度量最大程度地提高了对边界层形状变化的输出灵敏​​度。计算的最佳头发长度的范围与在三种蝙蝠物种上测得的头发受体长度的范围紧密一致。与具有相同横截面的头发相比,锥形的头发轮廓显示出在更大范围的流动条件下具有更高的灵敏度。表面安装的AHS测量值的反馈对于远离壁的精确流动状态估计对于有效的流动控制设计至关重要。线性二次高斯观测器设计用于具有毛发传感器阵列的不稳定的不可压缩的流动。在这里,使用改进的Kleinman-Newton方法结合快照程序来数值求解Riccati方程,以求解Lyapunov方程。我们表明,由两个头发传感器阵列补丁提供的测量结果显着有助于估计流速场的附近区域。;本文的结果支持人工头发传感器作为检测对人体动力学至关重要的流动现象的有效手段。流体流动。在以下手稿中,还为生物学,人造毛发传感器的设计和应用以及线性控制理论做出了贡献。低雷诺数飞行的一个空气动力学不利现象是边界层分离。通过将每根头发建模为耦合到其局部流动环境的粘弹性梁,在不稳定流动分离中模拟了头发传感器阵列的动态和机械响应。我们显示,阵列中每个毛发传感器底部的合成力矩提供了反向流动的开始和跨度,零壁切应力点的位置,形成和相对位置的时空精确表示。壁涡附近,边界层流动的空间发展和演化。

著录项

  • 作者

    Dickinson, Benjamin T.;

  • 作者单位

    Oregon State University.;

  • 授予单位 Oregon State University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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