Recent advancements towards large-scale flow diagnostics by robotic PIV

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
65 Downloads (Pure)

Abstract

The present work reviews the recent developments in the domain of particle image velocimetry (PIV) with attention to its use for large-scale problems of interest for industrial aerodynamics. The article introduces the fundamental principles of flow seeding for large-scale experiments based on the helium-filled soap bubble (HFSB) technique. The measurement of flow tracers in a three-dimensional domain is presented, which is based on Lagrangian tracking methods. Furthermore, the concept of co-axial volumetric velocimetry is introduced and its combination with robotic arm manipulation is shown. The work presents two main examples of applications to aerodynamic problems: The first is the flow field around a propeller aircraft at wind tunnel free-stream velocity up to 50 m s-1, which to date is considered the boundary of large-scale PIV application with HFSB. The second example is the complex three-dimensional flow field around a cyclist at full scale. The work summarizes developments obtained in the last 3 years of research, demonstrating that the domain of PIV techniques is still undergoing vivid developments.

Original languageEnglish
Article number011401
Number of pages16
JournalFluid Dynamics Research
Volume53
Issue number1
DOIs
Publication statusPublished - 2021

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Aerodynamics
  • Flow visualization
  • Helium filled soap bubbles
  • Large scale experiments
  • Particle image velocimetry

Fingerprint

Dive into the research topics of 'Recent advancements towards large-scale flow diagnostics by robotic PIV'. Together they form a unique fingerprint.

Cite this