Application of the Vortex Identification Algorithms in the Study of the Shear Layer in A 3/4 Open Jet Automotive Wind Tunnel

By means of particle image velocimetry(PIV) measurements, this paper uses vortex identification algorithms to find and analyze the coherent structures in the shear layer region of a 1:15 scaled 3/4 open jet automotive wind tunnel with a high Reynolds number(about 106), referring to SAWTC’s AAWT. The proper orthogonal decomposition(POD) is used to process the PIV experimental data to reconstruct the velocity fields. Based on the vortex identification functions, the locations of the center, the rotation direction and the radius of vortex can be computed. Furthermore, this paper uses the statistical method to study the regularities of distribution of these vortexes in a two-dimensional plane, and identify the vortex pairing process in the shear layer region. This paper also chooses different vortex identification algorithms to find the most accurate and suitable algorithms.

• Record URL:
  • https://doi.org/10.4271/2018-01-0746
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Zhu, Yuyu
  • Bao, Di
  • Jia, Qing
  • Yang, Zhigang
• Conference:
  • WCX World Congress Experience
  • Location: Detroit Michigan, United States
  • Date: 2018-4-10 to 2018-4-12
• Publication Date: 2018-4-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Algorithms; Identification systems; Mathematical models; Vortices; Wind tunnels
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01726464
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2018-01-0746
• Files: TRIS, SAE
• Created Date: Dec 23 2019 7:46AM