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

EasyChair Preprint no. 7267

Abstract

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

@Booklet{EasyChair:7267,
  author = {Tran The Hung},
  title = {Single-Pixel Ensemble Correlation Algorithm for Boundary Measurement on Axisymmetric Boattail Surface},
  howpublished = {EasyChair Preprint no. 7267},

  year = {EasyChair, 2021}}