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Raman temperature and density measurements in supersonic jets

Prediction of flow-field properties in supersonic jets using computational fluid dynamics (CFD) code predictions has become routine; however, obtaining accurate solutions becomes more challenging when there is a significant temperature difference between the jet core and the ambient air and/or compr...

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Autores principales: Wernet, Mark P., Georgiadis, Nicholas J., Locke, Randy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936943/
https://www.ncbi.nlm.nih.gov/pubmed/33814684
http://dx.doi.org/10.1007/s00348-021-03162-2
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author Wernet, Mark P.
Georgiadis, Nicholas J.
Locke, Randy J.
author_facet Wernet, Mark P.
Georgiadis, Nicholas J.
Locke, Randy J.
author_sort Wernet, Mark P.
collection PubMed
description Prediction of flow-field properties in supersonic jets using computational fluid dynamics (CFD) code predictions has become routine; however, obtaining accurate solutions becomes more challenging when there is a significant temperature difference between the jet core and the ambient air and/or compressibility effects are significant. Benchmark sets of flow field property data are required in order to assess current CFD capabilities and develop better modeling approaches for these turbulent flow fields where accurate calculation of temperatures and turbulent heat flux is important. Particle Image Velocimetry, spontaneous rotational Raman scattering spectroscopy, and Background-Oriented Schlieren (BOS) have been previously used to acquire measurements of the mean and root-mean-square (rms) velocities, the mean and rms gas temperatures, and density gradients in subsonic jet flows and film cooling flows. In this work, the ability to measure density is added to the list of measurands available using the acquired Raman spectra. The suite of measurement techniques are now applied to supersonic jet flows. The computation of the local gas pressure in the potential core of an over-expanded jet is demonstrated using the Raman measured gas temperature and density. Additionally, a unique density feature in temperature matched, perfectly expanded jet flow shear layers identified using BOS was verified using the Raman measurement technique. These non-intrusive flow measurements are compared against RANS predictions of the supersonic jet flow properties as a means of assessing their prediction accuracy. [Image: see text]
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spelling pubmed-79369432021-04-01 Raman temperature and density measurements in supersonic jets Wernet, Mark P. Georgiadis, Nicholas J. Locke, Randy J. Exp Fluids Research Article Prediction of flow-field properties in supersonic jets using computational fluid dynamics (CFD) code predictions has become routine; however, obtaining accurate solutions becomes more challenging when there is a significant temperature difference between the jet core and the ambient air and/or compressibility effects are significant. Benchmark sets of flow field property data are required in order to assess current CFD capabilities and develop better modeling approaches for these turbulent flow fields where accurate calculation of temperatures and turbulent heat flux is important. Particle Image Velocimetry, spontaneous rotational Raman scattering spectroscopy, and Background-Oriented Schlieren (BOS) have been previously used to acquire measurements of the mean and root-mean-square (rms) velocities, the mean and rms gas temperatures, and density gradients in subsonic jet flows and film cooling flows. In this work, the ability to measure density is added to the list of measurands available using the acquired Raman spectra. The suite of measurement techniques are now applied to supersonic jet flows. The computation of the local gas pressure in the potential core of an over-expanded jet is demonstrated using the Raman measured gas temperature and density. Additionally, a unique density feature in temperature matched, perfectly expanded jet flow shear layers identified using BOS was verified using the Raman measurement technique. These non-intrusive flow measurements are compared against RANS predictions of the supersonic jet flow properties as a means of assessing their prediction accuracy. [Image: see text] Springer Berlin Heidelberg 2021-03-06 2021 /pmc/articles/PMC7936943/ /pubmed/33814684 http://dx.doi.org/10.1007/s00348-021-03162-2 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Wernet, Mark P.
Georgiadis, Nicholas J.
Locke, Randy J.
Raman temperature and density measurements in supersonic jets
title Raman temperature and density measurements in supersonic jets
title_full Raman temperature and density measurements in supersonic jets
title_fullStr Raman temperature and density measurements in supersonic jets
title_full_unstemmed Raman temperature and density measurements in supersonic jets
title_short Raman temperature and density measurements in supersonic jets
title_sort raman temperature and density measurements in supersonic jets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936943/
https://www.ncbi.nlm.nih.gov/pubmed/33814684
http://dx.doi.org/10.1007/s00348-021-03162-2
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