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Single-Pixel Ensemble Correlation Algorithm for Boundary Measurement on Axisymmetric Boattail Surface

EasyChair Preprint no. 12872

15 pagesDate: April 2, 2024


Particle image velocimetry (PIV) measurement is an important technique in analyzing velocity fields. However, in traditional cross-correlation algorithm, the resolution of velocity fields is limited by the size of interrogation windows and the boundary layer was not captured well. In this study, single-pixel ensemble correlation algorithm was applied to analyze flow near the surface of an axisymmetric boattail model. The initial images data was obtained by experimental methods with the setup of PIV measurement. The results showed that the new algorithm was considerably improved resolution of flow fields near the surface and could be used to measure boundary-layer profile. Detailed characteristics of boundary-layer profile at different flow conditions were discussed. Interestingly, boundarylayer profile does not change much before the shoulder. However, the size of separation bubble on the boattail surface highly decreases with increasing Reynolds number. The study provides initial results of flow fields, which could be useful for further investigation of drag reduction by numerical and experimental techniques

Keyphrases: boattail model, boundary layer, PIV measurement, Single-pixel ensemble correlation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Tran The Hung},
  title = {Single-Pixel Ensemble Correlation Algorithm for Boundary Measurement on Axisymmetric Boattail Surface},
  howpublished = {EasyChair Preprint no. 12872},

  year = {EasyChair, 2024}}
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