Stereoscopic particle shadow velocimetry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, threecomponent stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.

Original languageEnglish (US)
Title of host publicationFluids Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791852101
DOIs
StatePublished - Jan 1 2018
EventASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States
Duration: Nov 9 2018Nov 15 2018

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume7

Other

OtherASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
CountryUnited States
CityPittsburgh
Period11/9/1811/15/18

Fingerprint

Velocity measurement
Flow fields
Lasers
Light emitting diodes
Cameras

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

Harris, J. R., McPhail, M. J., Truong, C., & Fontaine, A. A. (2018). Stereoscopic particle shadow velocimetry. In Fluids Engineering (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 7). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE201888013
Harris, Jeff R. ; McPhail, Michael Jesse ; Truong, Christine ; Fontaine, Arnold Anthony. / Stereoscopic particle shadow velocimetry. Fluids Engineering. American Society of Mechanical Engineers (ASME), 2018. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)).
@inproceedings{dbf6690e61344f8e9a40684fc123a1a1,
title = "Stereoscopic particle shadow velocimetry",
abstract = "Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, threecomponent stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.",
author = "Harris, {Jeff R.} and McPhail, {Michael Jesse} and Christine Truong and Fontaine, {Arnold Anthony}",
year = "2018",
month = "1",
day = "1",
doi = "10.1115/IMECE201888013",
language = "English (US)",
series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "Fluids Engineering",

}

Harris, JR, McPhail, MJ, Truong, C & Fontaine, AA 2018, Stereoscopic particle shadow velocimetry. in Fluids Engineering. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 7, American Society of Mechanical Engineers (ASME), ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, Pittsburgh, United States, 11/9/18. https://doi.org/10.1115/IMECE201888013

Stereoscopic particle shadow velocimetry. / Harris, Jeff R.; McPhail, Michael Jesse; Truong, Christine; Fontaine, Arnold Anthony.

Fluids Engineering. American Society of Mechanical Engineers (ASME), 2018. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 7).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Stereoscopic particle shadow velocimetry

AU - Harris, Jeff R.

AU - McPhail, Michael Jesse

AU - Truong, Christine

AU - Fontaine, Arnold Anthony

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, threecomponent stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.

AB - Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, threecomponent stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.

UR - http://www.scopus.com/inward/record.url?scp=85060373476&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060373476&partnerID=8YFLogxK

U2 - 10.1115/IMECE201888013

DO - 10.1115/IMECE201888013

M3 - Conference contribution

T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

BT - Fluids Engineering

PB - American Society of Mechanical Engineers (ASME)

ER -

Harris JR, McPhail MJ, Truong C, Fontaine AA. Stereoscopic particle shadow velocimetry. In Fluids Engineering. American Society of Mechanical Engineers (ASME). 2018. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)). https://doi.org/10.1115/IMECE201888013