毛发状宏观石墨烯纤维对非定常流场的鲁棒灵敏传感

Binpeng Zhan, Bo Fang, S. Bodepudi, Zhen Xu, J. Cui, Yang Xu, Chao Gao, Huan Hu
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摘要

本文报道了一种采用新型材料石墨烯纤维(GF)的仿生微型毛细胞流量传感器。我们证明了GF可以弯曲成弧形并伸出气流边界层进行速度测量。产生0.6 ~ 3.2m/s的气流速度来表征测量灵敏度。研究发现,基于gf的毛细胞传感器可以检测到低至0.06m/s的流速。此外,为了测量gf传感器的动态响应,采用单叶片风扇产生周期性非定常流。主导频率,即风扇旋转频率,已经被基于gf的毛细胞传感器清楚地捕获。这种基于gf的毛细胞传感器在检测小气流方面显示出很大的前景,可以在小型/微型飞行器的机翼上以阵列形式实现,以提供关键的机翼气动流场信息。
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Robust and Sensitive Sensing of Unsteady Flows Using a Hair-Like Macroscopic Graphene Fiber
This paper reports a bio-inspired miniaturized hair-cell flow sensor using a novel material—graphene fiber (GF). We demonstrate that GF can be bent into an arc-shape and stick out of air flow boundary layer for velocity measurement. Air flow velocities ranging from 0.6 to 3.2m/s are generated to characterize the measurement sensitivity. It is found that flow velocity as low as 0.06m/s can be detected by the GF-based hair-cell sensor. Moreover, to measure the dynamic response of the GF-sensor, a periodic unsteady flow is generated by a single blade fan. The dominant frequency, i.e. the fan rotating frequency, has been clearly captured by the GF-based hair-cell sensor. This GF-based hair-cell sensor shows great promise in detecting small air flow and can be implemented in an array form on wings of small/micro flying vehicles for providing crucial aerodynamic flow field information on wings.
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