Detecting coherent patterns in a flume by using PIV and IR imaging techniques

Roi Gurka; Alex Liberzon; Gad Hetsroni

doi:10.1007/s00348-004-0805-3

Detecting coherent patterns in a flume by using PIV and IR imaging techniques

Roi Gurka
, Alex Liberzon
, Gad Hetsroni^*

^*Corresponding author for this work

Technion-Israel Institute of Technology
Johns Hopkins University
Swiss Federal Institute of Technology Zurich

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

We investigated the flow field in a turbulent boundary layer in a flume, by using Particle Image Velocimetry (PIV) and Hot-Foil Infrared Imaging (HFIRI) techniques. Coherent patterns in the flow were identified and characterized by using instantaneous velocity and temperature fields. The velocity fields in the streamwise-spanwise plane were measured in parallel to the temperature distribution of the flume bottom. The identified patterns are represented by means of their spatial characteristics - a non-dimensional spatial separation between streamwise patterns, λ⁺.

Original language	English
Pages (from-to)	230-236
Number of pages	7
Journal	Experiments in Fluids
Volume	37
Issue number	2
DOIs	https://doi.org/10.1007/s00348-004-0805-3
State	Published - Aug 2004
Externally published	Yes

Access to Document

10.1007/s00348-004-0805-3

Cite this

@article{1d23187548e5418faab0306c8bdf2afd,

title = "Detecting coherent patterns in a flume by using PIV and IR imaging techniques",

abstract = "We investigated the flow field in a turbulent boundary layer in a flume, by using Particle Image Velocimetry (PIV) and Hot-Foil Infrared Imaging (HFIRI) techniques. Coherent patterns in the flow were identified and characterized by using instantaneous velocity and temperature fields. The velocity fields in the streamwise-spanwise plane were measured in parallel to the temperature distribution of the flume bottom. The identified patterns are represented by means of their spatial characteristics - a non-dimensional spatial separation between streamwise patterns, λ+.",

author = "Roi Gurka and Alex Liberzon and Gad Hetsroni",

year = "2004",

month = aug,

doi = "10.1007/s00348-004-0805-3",

language = "אנגלית",

volume = "37",

pages = "230--236",

journal = "Experiments in Fluids",

issn = "0723-4864",

publisher = "Springer Verlag",

number = "2",

}

TY - JOUR

T1 - Detecting coherent patterns in a flume by using PIV and IR imaging techniques

AU - Gurka, Roi

AU - Liberzon, Alex

AU - Hetsroni, Gad

PY - 2004/8

Y1 - 2004/8

N2 - We investigated the flow field in a turbulent boundary layer in a flume, by using Particle Image Velocimetry (PIV) and Hot-Foil Infrared Imaging (HFIRI) techniques. Coherent patterns in the flow were identified and characterized by using instantaneous velocity and temperature fields. The velocity fields in the streamwise-spanwise plane were measured in parallel to the temperature distribution of the flume bottom. The identified patterns are represented by means of their spatial characteristics - a non-dimensional spatial separation between streamwise patterns, λ+.

AB - We investigated the flow field in a turbulent boundary layer in a flume, by using Particle Image Velocimetry (PIV) and Hot-Foil Infrared Imaging (HFIRI) techniques. Coherent patterns in the flow were identified and characterized by using instantaneous velocity and temperature fields. The velocity fields in the streamwise-spanwise plane were measured in parallel to the temperature distribution of the flume bottom. The identified patterns are represented by means of their spatial characteristics - a non-dimensional spatial separation between streamwise patterns, λ+.

UR - https://www.scopus.com/pages/publications/4344710498

U2 - 10.1007/s00348-004-0805-3

DO - 10.1007/s00348-004-0805-3

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:4344710498

SN - 0723-4864

VL - 37

SP - 230

EP - 236

JO - Experiments in Fluids

JF - Experiments in Fluids

IS - 2

ER -

Detecting coherent patterns in a flume by using PIV and IR imaging techniques

Abstract

Access to Document

Other files and links

Fingerprint

Cite this