nach oben

Experiments in Fluids

Erschienen in:

01.08.2022 | Research Article

The effect of perspective error on 2D PIV Measurements of homogeneous isotropic turbulence

verfasst von: Hoonsang Lee, Han June Park, Museong Kim, Joungho Han, Wontae Hwang

Erschienen in: Experiments in Fluids | Ausgabe 8/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Homogeneous isotropic turbulence (HIT) is the most fundamental type of turbulence, and there have been various attempts at generating HIT experimentally. The inherently 3D flow is often measured using 2D two-component (2D2C) particle image velocimetry (PIV). However, systematic perspective error can be quite large when measuring a fully 3D flow using 2D2C PIV. The aim of this study is to estimate and correct the effects of perspective error when measuring HIT. The error in the measured velocity was modeled theoretically and propagated to various turbulence statistics such as turbulence kinetic energy (TKE), viscous dissipation rate, and two-point statistics. A method to eliminate this systematic error from these turbulence statistics is hereby proposed. Validation of this correction was performed via a synthetic turbulence simulation, and all turbulence statistics showed remarkable improvement under a wide range of conditions. Additional validation was provided using a grid turbulence experiment, which effectively removed the large TKE error at the edge of the image.

Graphical abstract

Vorheriger Artikel Diaphragmless shock tube with multiple air-operated valves

Nächster Artikel The effects of wall roughness on the flow dynamics behind a near-wall square cylinder

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Batchelor GK, Townsend AA (1947) Decay of vorticity in isotropic turbulence. Proc R Soc London Ser A 190:534–550. https://doi.org/10.1098/rspa.1947.0095CrossRef

Bellani G, Variano EA (2014) Homogeneity and isotropy in a laboratory turbulent flow. Exp Fluids 55:1–12. https://doi.org/10.1007/s00348-013-1646-8CrossRef

Benedict LH, Gould RD (1996) Towards better uncertainty estimates for turbulence statistics. Exp Fluids 22:129–136. https://doi.org/10.1007/s003480050030CrossRef

Birouk M, Chauveau C, Sarh B, Quilgars A, Gökalp I (1996) Turbulence effects on the vaporization of monocomponent single droplets. Combust Sci Technol 113:413–428. https://doi.org/10.1080/00102209608935506CrossRef

Carter D, Coletti F (2018) Small-scale structure and energy transfer in homogeneous turbulence. J Fluid Mech 854:505–543. https://doi.org/10.1017/jfm.2018.616MathSciNetCrossRefMATH

Carter D, Petersen A, Amili O, Coletti F (2016) Generating and controlling homogeneous air turbulence using random jet arrays. Exp Fluids 57:1–15. https://doi.org/10.1007/s00348-016-2281-yCrossRef

Coleman HW, Steele WG (2018) Experimentation, validation, and uncertainty analysis for engineers. Wiley, New Jersey. https://doi.org/10.1002/9781119417989CrossRef

Comte-Bellot G, Corrsin S (1966) The use of a contraction to improve the isotropy of grid-generated turbulence. J Fluid Mech 25:657–682. https://doi.org/10.1017/S0022112066000338CrossRef

de Jong J, Cao L, Woodward S, Salazar J, Collins L, Meng H (2009) Dissipation rate estimation from PIV in zero-mean isotropic turbulence. Exp Fluids 46:499–515. https://doi.org/10.1007/s00348-008-0576-3CrossRef

De Silva I, Fernando H (1994) Oscillating grids as a source of nearly isotropic turbulence. Phys Fluids 6:2455–2464. https://doi.org/10.1063/1.868193CrossRef

Dou Z, Pecenak ZK, Cao L, Woodward SH, Liang Z, Meng H (2016) PIV measurement of high-Reynolds-number homogeneous and isotropic turbulence in an enclosed flow apparatus with fan agitation. Meas Sci Technol 27:035305. https://doi.org/10.1088/0957-0233/27/3/035305CrossRef

Fallon T, Rogers C (2002) Turbulence-induced preferential concentration of solid particles in microgravity conditions. Exp Fluids 33:233–241. https://doi.org/10.1007/s00348-001-0394-3CrossRef

Goepfert C, Marié J-L, Chareyron D, Lance M (2010) Characterization of a system generating a homogeneous isotropic turbulence field by free synthetic jets. Exp Fluids 48:809–822. https://doi.org/10.1007/s00348-009-0768-5CrossRef

Han K, Lee H, Hwang W (2020) Pseudo real-time continuous measurements of particle preferential concentration in homogeneous isotropic turbulence. Exp Therm Fluid Sci 112:109968. https://doi.org/10.1016/j.expthermflusci.2019.109968CrossRef

Hoffman DW, Eaton JK (2021) Isotropic turbulence apparatus with a large vertical extent. Exp Fluids 62:1–11. https://doi.org/10.1007/s00348-021-03311-7CrossRef

Hwang W, Eaton JK (2004) Creating homogeneous and isotropic turbulence without a mean flow. Exp Fluids 36:444–454. https://doi.org/10.1007/s00348-003-0742-6CrossRef

Keane RD, Adrian RJ (1992) Theory of cross-correlation analysis of PIV images. Appl Sci Res 49:191–215. https://doi.org/10.1007/BF00384623CrossRef

Kolmogorov AN (1991) Dissipation of energy in the locally isotropic turbulence. Proc R Soc London Ser A 434:15–17. https://doi.org/10.1098/rspa.1991.0076MathSciNetCrossRefMATH

Lecordier B, Westerweel J (2004) The EUROPIV synthetic image generator (S.I.G.). In: Stanislas M, Westerweel J, Kompenhans J (eds) Particle image velocimetry: recent improvements. Springer, Berlin, Heidelberg, pp 145–161. https://doi.org/10.1007/978-3-642-18795-7_11CrossRef

Lee H, Hwang W (2019) Error quantification of 3D homogeneous and isotropic turbulence measurements using 2D PIV. Int J Heat Fluid Flow 78:108431. https://doi.org/10.1016/j.ijheatfluidflow.2019.108431CrossRef

Li Y, Perlman E, Wan M, Yang Y, Meneveau C, Burns R, Chen S, Szalay A, Eyink G (2008) A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence. J Turbul 9:N31. https://doi.org/10.1080/14685240802376389CrossRefMATH

Ma BF, Jiang HG (2018) Estimation of perspective errors in 2D2C-PIV measurements for 3D concentrated vortices. Exp Fluids 59:1–14. https://doi.org/10.1007/s00348-018-2556-6CrossRef

Makita H, Sassa K (1991) Active turbulence generation in a laboratory wind tunnel. In: Johansson AV, Alfredsson P (eds) Advances in turbulence 3. Springer, Berlin, Heidelberg, pp 497–505. https://doi.org/10.1007/978-3-642-84399-0_54CrossRef

Mazellier N, Danaila L, Renou B (2010) Multi-scale energy injection: a new tool to generate intense homogeneous and isotropic turbulence for premixed combustion. J Turbul 11:N43. https://doi.org/10.1080/14685248.2010.519708CrossRef

Oh JS, Lee H, Hwang W (2021) Motion blur treatment utilizing deep learning for time-resolved particle image velocimetry. Exp Fluids 62:1–16. https://doi.org/10.1007/s00348-021-03330-4CrossRef

Pope SB (2000) Turbulent flows. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511840531CrossRefMATH

Raffel M, Willert C, Scarano F, Kähler CJ, Werely ST, Kompenhans J (2018) Particle image velocimetry: a practical guide, 3rd edn. Springer, Berlin. https://doi.org/10.1007/978-3-319-68852-7CrossRef

Reeves M, Lawson N (2004) Evaluation and correction of perspective errors in endoscopic PIV. Exp Fluids 36:701–705. https://doi.org/10.1007/s00348-003-0746-2CrossRef

Roach PE (1987) The generation of nearly isotropic turbulence by means of grids. Int J Heat Fluid Flow 8:82–92. https://doi.org/10.1016/0142-727X(87)90001-4CrossRef

Saad T, Sutherland JC (2016) Comment on “Diffusion by a random velocity field” [Phys. Fluids 13, 22 (1970)]. Phys Fluids. https://doi.org/10.1063/1.4968528CrossRef

Saad T, Cline D, Stoll R, Sutherland JC (2017) Scalable tools for generating synthetic isotropic turbulence with arbitrary spectra. AIAA J 55:327–331. https://doi.org/10.2514/1.J055230CrossRef

Scharnowski S, Kähler CJ (2016) Estimation and optimization of loss-of-pair uncertainties based on PIV correlation functions. Exp Fluids 57:23. https://doi.org/10.1007/s00348-015-2108-2CrossRef

Scharnowski S, Kähler CJ (2020) Particle image velocimetry-classical operating rules from today’s perspective. Opt Lasers Eng 135:106185. https://doi.org/10.1016/j.optlaseng.2020.106185CrossRef

Scharnowski S, Grayson K, de Silva CM, Hutchins N, Marusic I, Kähler CJ (2017) Generalization of the PIV loss-of-correlation formula introduced by Keane and Adrian. Exp Fluids 58:1–12. https://doi.org/10.1007/s00348-017-2431-xCrossRef

Sciacchitano A, Wieneke B (2016) PIV uncertainty propagation. Meas Sci Technol 27:084006. https://doi.org/10.1088/0957-0233/27/8/084006CrossRef

Sreenivasan KR (1995) On the universality of the Kolmogorov constant. Phys Fluids 7:2778–2784. https://doi.org/10.1063/1.868656MathSciNetCrossRefMATH

Taylor J (1997) Introduction to error analysis, the study of uncertainties in physical measurements. University Science Books, Sausalito, CA, USA

Thielicke W, Sonntag R (2021) Particle Image Velocimetry for MATLAB: accuracy and enhanced algorithms in PIVlab. J Open Res Softw 9:12. https://doi.org/10.5334/jors.334CrossRef

Thielicke W, Stamhuis E (2014) PIVlab–towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB. J Open Res Softw 2:e30. https://doi.org/10.5334/jors.blCrossRef

Variano EA, Cowen EA (2008) A random-jet-stirred turbulence tank. J Fluid Mech 604:1–32. https://doi.org/10.1017/S0022112008000645CrossRefMATH

Webster DR, Brathwaite A, Yen J (2004) A novel laboratory apparatus for simulating isotropic oceanic turbulence at low Reynolds number. Limnol Oceanogr Methods 2:1–12. https://doi.org/10.4319/lom.2004.2.1CrossRef

Westerweel J (1997) Fundamentals of digital particle image velocimetry. Meas Sci Technol 8:1379. https://doi.org/10.1088/0957-0233/8/12/002CrossRef

Westerweel J, Elsinga GE, Adrian RJ (2013) Particle image velocimetry for complex and turbulent flows. Annu Rev Fluid Mech 45:409–436. https://doi.org/10.1146/annurev-fluid-120710-101204MathSciNetCrossRefMATH

Wieneke B (2015) PIV uncertainty quantification from correlation statistics. Meas Sci Technol 26:074002. https://doi.org/10.1088/0957-0233/26/7/074002CrossRef

Xu D, Chen J (2013) Accurate estimate of turbulent dissipation rate using PIV data. Exp Therm Fluid Sci 44:662–672. https://doi.org/10.1016/j.expthermflusci.2012.09.006CrossRef

Yoon JH, Lee SJ (2002) Direct comparison of 2D PIV and stereoscopic PIV measurements. Meas Sci Technol 13:1631. https://doi.org/10.1088/0957-0233/13/10/317CrossRef

Richards A, Saad T, Sutherland JC (2018) A fast turbulence generator using graphics processing units. In: Proceedings 2018 Fluid Dynamics Conference, Atlanta, Georgia, pp 3559. https://doi.org/10.2514/6.2018-3559

Titel: The effect of perspective error on 2D PIV Measurements of homogeneous isotropic turbulence
verfasst von: Hoonsang Lee
Han June Park
Museong Kim
Joungho Han
Wontae Hwang
Publikationsdatum: 01.08.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Experiments in Fluids / Ausgabe 8/2022
Print ISSN: 0723-4864
Elektronische ISSN: 1432-1114
DOI: https://doi.org/10.1007/s00348-022-03483-w

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Graphical abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 8/2022

On the closure of Collar’s triangle by optical diagnostics

On the applicability of LDV profile-sensors for periodic open wet clutch flow scenarios

Utilizing APTV to investigate the dynamics of polydisperse suspension flows beyond the dilute regime

Diaphragmless shock tube with multiple air-operated valves

Transverse gust generation in a wind tunnel: a suction-driven approach

Slanted cylinder afterbody aerodynamics measured by 0.3-m magnetic suspension and balance system with six-degrees-of-freedom control

Premium Partner

Marktübersichten