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Pré-publication, Document de travail

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

Résumé : 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 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.
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
Contributeur : Caroline Braud <>
Soumis le : vendredi 11 décembre 2020 - 14:49:28
Dernière modification le : mardi 23 février 2021 - 03:24:28

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WES2020_Soulier.pdf
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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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