Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices
Linear Stochastic estimation (LSE) is employed to compare the large-scale structure of a jet exhausted through a coaxial nozzle configuration with and without mixing devices on the coaxial stream. Particle Image Velocimetry (PIV) is used to measure the streamwise and radial velocity components on a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2011-06-01
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| Series: | Journal of Fluid Science and Technology |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jfst/6/4/6_4_522/_pdf/-char/en |
| _version_ | 1798020943170240512 |
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| author | Jeff KASTNER Chris HARRIS Ephraim GUTMARK |
| author_facet | Jeff KASTNER Chris HARRIS Ephraim GUTMARK |
| author_sort | Jeff KASTNER |
| collection | DOAJ |
| description | Linear Stochastic estimation (LSE) is employed to compare the large-scale structure of a jet exhausted through a coaxial nozzle configuration with and without mixing devices on the coaxial stream. Particle Image Velocimetry (PIV) is used to measure the streamwise and radial velocity components on a 2D streamwise plane over the first 11 equivalent jet diameters. A comparison of the turbulent kinetic energy (TKE) for these two cases show that the streamwise vortices generated by the mixing devices result in high turbulence levels near the nozzle and reduced turbulence levels downstream. Reconstruction of the TKE profiles using LSE also captured these trends. An in-depth-analysis into number and placement of sensors was performed by correlating the raw data set to the data set formed by reconstructing the field using LSE. LSE was most successful when the reference signals were at the peak amplitude of the TKE radial profiles, and the correlation levels increased as the number of sensors was increased. It was shown that a jet with mixing devices lowered the correlation levels at the downstream positions by breaking up the large-scale structures. |
| first_indexed | 2024-04-11T17:05:54Z |
| format | Article |
| id | doaj.art-84f19518dc934c28a9fc2261c9b29c98 |
| institution | Directory Open Access Journal |
| issn | 1880-5558 |
| language | English |
| last_indexed | 2024-04-11T17:05:54Z |
| publishDate | 2011-06-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Fluid Science and Technology |
| spelling | doaj.art-84f19518dc934c28a9fc2261c9b29c982022-12-22T04:13:01ZengThe Japan Society of Mechanical EngineersJournal of Fluid Science and Technology1880-55582011-06-016452253310.1299/jfst.6.522jfstLinear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing DevicesJeff KASTNER0Chris HARRIS1Ephraim GUTMARK2Department of Aerospace Engineering and Engineering Mechanics University of CincinnatiDepartment of Aerospace Engineering and Engineering Mechanics University of CincinnatiDepartment of Aerospace Engineering and Engineering Mechanics University of CincinnatiLinear Stochastic estimation (LSE) is employed to compare the large-scale structure of a jet exhausted through a coaxial nozzle configuration with and without mixing devices on the coaxial stream. Particle Image Velocimetry (PIV) is used to measure the streamwise and radial velocity components on a 2D streamwise plane over the first 11 equivalent jet diameters. A comparison of the turbulent kinetic energy (TKE) for these two cases show that the streamwise vortices generated by the mixing devices result in high turbulence levels near the nozzle and reduced turbulence levels downstream. Reconstruction of the TKE profiles using LSE also captured these trends. An in-depth-analysis into number and placement of sensors was performed by correlating the raw data set to the data set formed by reconstructing the field using LSE. LSE was most successful when the reference signals were at the peak amplitude of the TKE radial profiles, and the correlation levels increased as the number of sensors was increased. It was shown that a jet with mixing devices lowered the correlation levels at the downstream positions by breaking up the large-scale structures.https://www.jstage.jst.go.jp/article/jfst/6/4/6_4_522/_pdf/-char/ensubsonic flowjetturbulencepassive flow controlparticle image velocimetry |
| spellingShingle | Jeff KASTNER Chris HARRIS Ephraim GUTMARK Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices Journal of Fluid Science and Technology subsonic flow jet turbulence passive flow control particle image velocimetry |
| title | Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices |
| title_full | Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices |
| title_fullStr | Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices |
| title_full_unstemmed | Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices |
| title_short | Linear Stochastic Estimation of the Velocity Field from a High-Bypass Nozzle with and without Mixing Devices |
| title_sort | linear stochastic estimation of the velocity field from a high bypass nozzle with and without mixing devices |
| topic | subsonic flow jet turbulence passive flow control particle image velocimetry |
| url | https://www.jstage.jst.go.jp/article/jfst/6/4/6_4_522/_pdf/-char/en |
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