Library
local_library Home Repository

Tomographic long-distance µPIV to investigate the small scales of turbulence in a jet at high Reynolds number

Journal Article (2022)
Author(s)

D. Fiscaletti (TU Delft - Wind Energy)

D Ragni (TU Delft - Wind Energy)

EFJ Overmars (TU Delft - Fluid Mechanics)

Jerry Westerweel (TU Delft - Fluid Mechanics)

G.E. Elsinga (TU Delft - Fluid Mechanics)

Research Group
Wind Energy
Copyright
© 2022 D. Fiscaletti, D. Ragni, E.F.J. Overmars, J. Westerweel, G.E. Elsinga
DOI related publication
https://doi.org/10.1007/s00348-021-03359-5
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 D. Fiscaletti, D. Ragni, E.F.J. Overmars, J. Westerweel, G.E. Elsinga
Research Group
Wind Energy
Issue number
1
Volume number
63
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The small scales of turbulence in a high-Reynolds-number jet (R e λ≈ 350) are investigated with a µPIV setup to overcome the optical limitations of conventional tomographic PIV setups. With the aim of validating the performances of tomographic long-distance µPIV, analyses are carried out involving statistical aspects of the small scales of turbulence. The technique is assessed and the data are bench-marked to be applied to the analysis of any three-dimensional small-scale phenomena in large-scale flow domains. Graphical abstract: [Figure not available: see fulltext.].