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Erschienen in: Journal of Visualization 3/2021

03.01.2021 | Regular Paper

Experimental study on the three-dimensional wake structure of the DrivAer standard model

verfasst von: Jinsheng Liu, Zhihao Zhang, Yumeng Wang, Mogeng Li, Shengjin Xu

Erschienen in: Journal of Visualization | Ausgabe 3/2021

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Abstract

An automatic particle imaging velocimetry (Auto-PIV) measuring technique was developed based on the external triggering and automatic control technology. Measurements of the DrivAer model wake were performed using Auto-PIV in the spanwise and vertical direction. Three-dimensional time-averaged velocity distribution was reconstructed and the spatial distribution of the large coherent structures was described. The results indicate that regions with high velocity fluctuations mainly locate at the shear layer of the upper and lower edge of the recirculation bubble. Further proper orthogonal decomposition results show that the velocity fluctuations account for a very little proportion of kinetic energy compared with the time-averaged velocity, supporting that the DrivAer model has steady aerodynamic characteristics. The smooth outlines of the DrivAer notchback model can delay the flow separation on the top and the C-pillar of the model, which inhibits the formation of the back recirculation bubble at the rear window and reduces the size of the recirculation bubble behind the baggage compartment. These promote the pressure recovery at the rear of the DrivAer notchback model, and thus reduces the pressure drag. At the rear of the model, the airflow on both sides converges towards the center due to the pressure difference, producing the streamwise vorticity by shearing the baggage compartment, then separates at the rear of the baggage compartment and generates a pair of secondary vortices. Overall, the aerodynamic behavior of the DrivAer model is robust.

Graphic abstract

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Metadaten
Titel
Experimental study on the three-dimensional wake structure of the DrivAer standard model
verfasst von
Jinsheng Liu
Zhihao Zhang
Yumeng Wang
Mogeng Li
Shengjin Xu
Publikationsdatum
03.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 3/2021
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-020-00714-2

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