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Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

Abstract : 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 TR-PIV measurements over an oscillating 2D blade section equipped with an e-TellTale sensor. PIV images were postprocessed 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.
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https://hal.archives-ouvertes.fr/hal-02888487
Contributor : Caroline Braud Connect in order to contact the contributor
Submitted on : Friday, December 11, 2020 - 2:49:28 PM
Last modification on : Sunday, June 26, 2022 - 5:51:36 AM

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WES2020_Soulier.pdf
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Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

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Antoine Soulier, Caroline Braud, Dimitri Voisin, Bérengère Podvin. Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics. 2020. ⟨hal-02888487⟩

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