Drag prediction in the near wake of a circular cylinder based on DPIV data

O. Son*, O. Cetiner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

This study focuses on drag prediction in the near-wake of a circular cylinder by use of mean velocity profiles and discusses the closest location where a wake survey would yield an accurate result. Although the investigation considers both the mean and fluctuating velocities, the main focus is on the mean momentum deficit which should be handled properly beyond a critical distance. Digital Particle Image Velocimetry (DPIV) experiments are performed in a Reynolds number range of 100 to 1250. Wake characteristics such as vortex formation length (L) and wake width (t) are determined and their relations to drag prediction are presented. Drag coefficients determined by momentum deficit formula are found to be in good agreement with experimental and numerical literature data in present Reynolds number regime.

Original languageEnglish
Pages (from-to)1963-1968
Number of pages6
JournalJournal of Applied Fluid Mechanics
Volume9
Issue number4
DOIs
Publication statusPublished - 2016

Keywords

  • Circular cylinder
  • DPIV
  • Drag prediction
  • Momentum deficit

Fingerprint

Dive into the research topics of 'Drag prediction in the near wake of a circular cylinder based on DPIV data'. Together they form a unique fingerprint.

Cite this