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Collective Sensitivity of Artificial Hair Sensors to Flow Direction
AIAA Journal ( IF 2.5 ) Pub Date : 2021-02-09 , DOI: 10.2514/1.j060290
Esmaeil Dehdashti 1 , Gregory W. Reich 2 , Hassan Masoud 1
Affiliation  

We study the collective response of synthetic hair sensors to changes in the airflow direction. Specifically, we examine whether an array of isotropic sensors, which are unable to detect the direction of an incident flow when operating in isolation, can together sense not only the magnitude but also the orientation of a freestream flow passing over and through them. To conduct our inquiry, we consider a fundamental scenario involving a boundary-layer flow past a flat plate decorated with a 3×3 array of sensors. Numerical modeling is used to simulate the interaction between the fluid flow and flexible hair sensors. We find that, indeed, it is feasible to achieve collective directional sensitivity by engineering the arrangement of the sensors. We also propose a supervised machine learning approach capable of deducing the direction of the freestream flow from the deformation signals outputted by individual sensors in the array.



中文翻译:

人工毛发传感器对流动方向的集体敏感性

我们研究了合成头发传感器对气流方向变化的集体响应。具体来说,我们检查了各向同性传感器的阵列是否可以同时检测经过它们并通过它们的自由流的方向,这些传感器在隔离运行时无法检测入射流的方向。为了进行调查,我们考虑了一个基本场景,该场景涉及流经装饰有平板的平板的边界层流。3×3传感器阵列。数值建模用于模拟流体流动和柔性头发传感器之间的相互作用。我们发现,确实可以通过设计传感器的布置来实现集体方向的敏感性。我们还提出了一种有监督的机器学习方法,该方法能够从阵列中各个传感器输出的变形信号中推导出自由流的方向。

更新日期:2021-02-10
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