Binpeng Zhan, Bo Fang, S. Bodepudi, Zhen Xu, J. Cui, Yang Xu, Chao Gao, Huan Hu
{"title":"Robust and Sensitive Sensing of Unsteady Flows Using a Hair-Like Macroscopic Graphene Fiber","authors":"Binpeng Zhan, Bo Fang, S. Bodepudi, Zhen Xu, J. Cui, Yang Xu, Chao Gao, Huan Hu","doi":"10.1109/MEMS46641.2020.9056148","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6776,"journal":{"name":"2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)","volume":"78 1","pages":"649-652"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMS46641.2020.9056148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.