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首页> 外文期刊>Wind Energy Science >Low-Reynolds-number investigations on the ability of the strip of e-TellTale sensor to detect the flow features over wind turbine blade section: flow stall and reattachment dynamics
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Low-Reynolds-number investigations on the ability of the strip of e-TellTale sensor to detect the flow features over wind turbine blade section: flow stall and reattachment dynamics

机译:低雷诺数对e-telltale传感器条带来的能力,以检测风力涡轮机叶片的流量特征部分:流动摊位和重新连接动态

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Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial. This paper is devoted to demonstrate the ability of the e-TellTale sensor to detect the flow stall–reattachment dynamics over wind turbine blades. This sensor is made of a strip with a strain gauge sensor at its base. The velocity field was acquired using time-resolved particle image velocimetry (TR-PIV) measurements over an oscillating 2D blade section equipped with an e-TellTale sensor. PIV images were post-processed to detect movements of the strip, which was compared to movements of flow. Results show good agreement between the measured velocity field and movements of the strip regarding the stall–reattachment dynamics.
机译:监测风力涡轮机叶片上的流动特征是一个具有挑战性的任务,其变得越来越重要。 本文致力于展示E-Telltale传感器在风力涡轮机叶片上检测流动失速速度动态的能力。 该传感器由带有应变仪传感器的条带制成,在其基座上。 使用时间分辨的粒子图像速度(TR-PIV)测量来获取速度场,在配备有电子透刻传感器的振荡2D刀片部分上。 PIV图像被处理以检测条带的运动,与流动的移动进行比较。 结果在测量的速度场和条带的运动之间表现出良好的一致性,关于Stall-ReatClachment动态的条带。

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