The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer
Identifieur interne :
001B44 ( PascalFrancis/Corpus );
précédent :
001B43;
suivant :
001B45
The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer
Auteurs : Callum Atkinson ;
Sebastien Coudert ;
Jean-Marc Foucaut ;
Michel Stanislas ;
Julio SoriaSource :
-
Experiments in fluids [ 0723-4864 ] ; 2011.
RBID : Pascal:11-0305212
Descripteurs français
English descriptors
Abstract
To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Reθ = 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV.
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| A05 | | | | @2 50 |
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| A06 | | | | @2 4 |
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| A08 | 01 | 1 | ENG | @1 The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer |
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| A09 | 01 | 1 | ENG | @1 Eighth International Symposium on Particle Image Velocimetry (PIV'09) |
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| A11 | 01 | 1 | | @1 ATKINSON (Callum) |
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| A11 | 02 | 1 | | @1 COUDERT (Sebastien) |
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| A11 | 03 | 1 | | @1 FOUCAUT (Jean-Marc) |
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| A11 | 04 | 1 | | @1 STANISLAS (Michel) |
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| A11 | 05 | 1 | | @1 SORIA (Julio) |
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| A12 | 01 | 1 | | @1 SORIA (Julio) @9 ed. |
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| A12 | 02 | 1 | | @1 CLEMENS (Noel T.) @9 ed. |
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| A14 | 01 | | | @1 Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University @2 Victoria 3800 @3 AUS @Z 5 aut. |
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| A14 | 02 | | | @1 Laboratoire de Mecanique de Lille (UMR CNRS 8107), Ecole Centrale de Lille, Bd Paul Langevin, Cite Scientifique @2 59655 Villeneuve d'Ascq @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. |
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| A15 | 01 | | | @1 Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus @2 Melbourne, VIC 3800 @3 AUS @Z 1 aut. |
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| A15 | 02 | | | @1 Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, 1 University Station C0600 @2 Austin, TX 78712 @3 USA @Z 2 aut. |
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| A18 | 01 | 1 | | @1 Monash University @2 Victoria @3 AUS @9 org-cong. |
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| A21 | | | | @1 2011 |
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| A23 | 01 | | | @0 ENG |
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| A43 | 01 | | | @1 INIST @2 19904 @5 354000192957660200 |
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| A44 | | | | @0 0000 @1 © 2011 INIST-CNRS. All rights reserved. |
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| A47 | 01 | 1 | | @0 11-0305212 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 Experiments in fluids |
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| A66 | 01 | | | @0 DEU |
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| C01 | 01 | | ENG | @0 To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Reθ = 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV. |
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| C03 | 01 | 3 | ENG | @0 Boundary layers @5 02 |
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| C03 | 02 | 3 | FRE | @0 Ecoulement turbulent @5 03 |
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| C03 | 02 | 3 | ENG | @0 Turbulent flow @5 03 |
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| C03 | 03 | X | FRE | @0 Estimation erreur @5 08 |
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| C03 | 03 | X | ENG | @0 Error estimation @5 08 |
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| C03 | 03 | X | SPA | @0 Estimación error @5 08 |
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| C03 | 05 | 3 | ENG | @0 Particle image velocimetry @5 17 |
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| C03 | 06 | 3 | ENG | @0 Velocity measurement @5 18 |
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| C03 | 07 | 3 | FRE | @0 Tomographie @5 19 |
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| C03 | 07 | 3 | ENG | @0 Tomography @5 19 |
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| pR |
| A30 | 01 | 1 | ENG | @1 International Symposium on Particle Image Velocimetry (PIV'09) @3 Melbourne AUS @4 2009-08-25 |
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Format Inist (serveur)
| NO : | PASCAL 11-0305212 INIST |
|---|
| ET : | The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer |
|---|
| AU : | ATKINSON (Callum); COUDERT (Sebastien); FOUCAUT (Jean-Marc); STANISLAS (Michel); SORIA (Julio); SORIA (Julio); CLEMENS (Noel T.) |
|---|
| AF : | Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University/Victoria 3800/Australie (5 aut.); Laboratoire de Mecanique de Lille (UMR CNRS 8107), Ecole Centrale de Lille, Bd Paul Langevin, Cite Scientifique/59655 Villeneuve d'Ascq/France (1 aut., 2 aut., 3 aut., 4 aut.); Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus/Melbourne, VIC 3800/Australie (1 aut.); Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, 1 University Station C0600/Austin, TX 78712/Etats-Unis (2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Experiments in fluids; ISSN 0723-4864; Coden EXFLDU; Allemagne; Da. 2011; Vol. 50; No. 4; Pp. 1031-1056; Bibl. 1 p. |
|---|
| LA : | Anglais |
|---|
| EA : | To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Reθ = 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV. |
|---|
| CC : | 001B40G80; 001B40G27N |
|---|
| FD : | Couche limite; Ecoulement turbulent; Estimation erreur; Etude expérimentale; Vélocimétrie image particule; Mesure vitesse; Tomographie; Installation essai; 4780; 4727N |
|---|
| ED : | Boundary layers; Turbulent flow; Error estimation; Experimental study; Particle image velocimetry; Velocity measurement; Tomography; Test facilities |
|---|
| SD : | Estimación error |
|---|
| LO : | INIST-19904.354000192957660200 |
|---|
| ID : | 11-0305212 |
|---|
Links to Exploration step
Pascal:11-0305212
Le document en format XML
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<idno type="ISSN">0723-4864</idno>
</seriesStmt><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Boundary layers</term>
<term>Error estimation</term>
<term>Experimental study</term>
<term>Particle image velocimetry</term>
<term>Test facilities</term>
<term>Tomography</term>
<term>Turbulent flow</term>
<term>Velocity measurement</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Couche limite</term>
<term>Ecoulement turbulent</term>
<term>Estimation erreur</term>
<term>Etude expérimentale</term>
<term>Vélocimétrie image particule</term>
<term>Mesure vitesse</term>
<term>Tomographie</term>
<term>Installation essai</term>
<term>4780</term>
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</keywords><front><div type="abstract" xml:lang="en">To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Re<sub>θ</sub>
= 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV.</div><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0723-4864</s0>
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</fA66><fC01 i1="01" l="ENG"><s0>To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Re<sub>θ</sub>
= 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV.</s0><fC02 i1="01" i2="3"><s0>001B40G80</s0>
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</fC03><fC03 i1="05" i2="3" l="FRE"><s0>Vélocimétrie image particule</s0>
<s5>17</s5>
</fC03><fC03 i1="05" i2="3" l="ENG"><s0>Particle image velocimetry</s0>
<s5>17</s5>
</fC03><fC03 i1="06" i2="3" l="FRE"><s0>Mesure vitesse</s0>
<s5>18</s5>
</fC03><fC03 i1="06" i2="3" l="ENG"><s0>Velocity measurement</s0>
<s5>18</s5>
</fC03><fC03 i1="07" i2="3" l="FRE"><s0>Tomographie</s0>
<s5>19</s5>
</fC03><fC03 i1="07" i2="3" l="ENG"><s0>Tomography</s0>
<s5>19</s5>
</fC03><fC03 i1="08" i2="3" l="FRE"><s0>Installation essai</s0>
<s5>20</s5>
</fC03><fC03 i1="08" i2="3" l="ENG"><s0>Test facilities</s0>
<s5>20</s5>
</fC03><fC03 i1="09" i2="3" l="FRE"><s0>4780</s0>
<s4>INC</s4>
<s5>56</s5>
</fC03><fC03 i1="10" i2="3" l="FRE"><s0>4727N</s0>
<s4>INC</s4>
<s5>57</s5>
</fC03><fN21><s1>206</s1>
</fN21><pR><fA30 i1="01" i2="1" l="ENG"><s1>International Symposium on Particle Image Velocimetry (PIV'09)</s1>
<s3>Melbourne AUS</s3>
<s4>2009-08-25</s4>
</fA30><server><NO>PASCAL 11-0305212 INIST</NO>
<ET>The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer</ET>
<AU>ATKINSON (Callum); COUDERT (Sebastien); FOUCAUT (Jean-Marc); STANISLAS (Michel); SORIA (Julio); SORIA (Julio); CLEMENS (Noel T.)</AU>
<AF>Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University/Victoria 3800/Australie (5 aut.); Laboratoire de Mecanique de Lille (UMR CNRS 8107), Ecole Centrale de Lille, Bd Paul Langevin, Cite Scientifique/59655 Villeneuve d'Ascq/France (1 aut., 2 aut., 3 aut., 4 aut.); Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus/Melbourne, VIC 3800/Australie (1 aut.); Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, 1 University Station C0600/Austin, TX 78712/Etats-Unis (2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Experiments in fluids; ISSN 0723-4864; Coden EXFLDU; Allemagne; Da. 2011; Vol. 50; No. 4; Pp. 1031-1056; Bibl. 1 p.</SO>
<LA>Anglais</LA>
<EA>To investigate the accuracy of tomographic particle image velocimetry (Tomo-PIV) for turbulent boundary layer measurements, a series of synthetic image-based simulations and practical experiments are performed on a high Reynolds number turbulent boundary layer at Re<sub>θ</sub>
= 7,800. Two different approaches to Tomo-PIV are examined using a full-volume slab measurement and a thin-volume "fat" light sheet approach. Tomographic reconstruction is performed using both the standard MART technique and the more efficient MLOS-SMART approach, showing a 10-time increase in processing speed. Random and bias errors are quantified under the influence of the near-wall velocity gradient, reconstruction method, ghost particles, seeding density and volume thickness, using synthetic images. Experimental Tomo-PIV results are compared with hot-wire measurements and errors are examined in terms of the measured mean and fluctuating profiles, probability density functions of the fluctuations, distributions of fluctuating divergence through the volume and velocity power spectra. Velocity gradients have a large effect on errors near the wall and also increase the errors associated with ghost particles, which convect at mean velocities through the volume thickness. Tomo-PIV provides accurate experimental measurements at low wave numbers; however, reconstruction introduces high noise levels that reduces the effective spatial resolution. A thinner volume is shown to provide a higher measurement accuracy at the expense of the measurement domain, albeit still at a lower effective spatial resolution than planar and Stereo-PIV.</EA><CC>001B40G80; 001B40G27N</CC>
<FD>Couche limite; Ecoulement turbulent; Estimation erreur; Etude expérimentale; Vélocimétrie image particule; Mesure vitesse; Tomographie; Installation essai; 4780; 4727N</FD>
<ED>Boundary layers; Turbulent flow; Error estimation; Experimental study; Particle image velocimetry; Velocity measurement; Tomography; Test facilities</ED>
<SD>Estimación error</SD>
<LO>INIST-19904.354000192957660200</LO>
<ID>11-0305212</ID>
</server>
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