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Experiments in Fluids

Erschienen in:

01.02.2018 | Research Article

Three-dimensional particle tracking velocimetry algorithm based on tetrahedron vote

verfasst von: Yutong Cui, Yang Zhang, Pan Jia, Yuan Wang, Jingcong Huang, Junlei Cui, Wing T. Lai

Erschienen in: Experiments in Fluids | Ausgabe 2/2018

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Abstract

A particle tracking velocimetry algorithm based on tetrahedron vote, which is named TV-PTV, is proposed to overcome the limited selection problem of effective algorithms for 3D flow visualisation. In this new cluster-matching algorithm, tetrahedrons produced by the Delaunay tessellation are used as the basic units for inter-frame matching, which results in a simple algorithmic structure of only two independent preset parameters. Test results obtained using the synthetic test image data from the Visualisation Society of Japan show that TV-PTV presents accuracy comparable to that of the classical algorithm based on new relaxation method (NRX). Compared with NRX, TV-PTV possesses a smaller number of loops in programming and thus a shorter computing time, especially for large particle displacements and high particle concentration. TV-PTV is confirmed practically effective using an actual 3D wake flow.

Vorheriger Artikel Particle-pair relative velocity measurement in high-Reynolds-number homogeneous and isotropic turbulence using 4-frame particle tracking velocimetry

Nächster Artikel Options for refractive index and viscosity matching to study variable density flows

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Adrian RJ (2005) Twenty years of particle image velocimetry. Exp Fluids 39(2):159–169CrossRef

Baek SJ, Lee SJ (1996) A new two-frame particle tracking algorithm using match probability. Exp Fluids 22(1):23–32MathSciNetCrossRef

Bajpayee A, Techet AH (2013) 3D particle tracking velocimetry (PTV) using high speed light field imaging. In: PIV13 10th International Symposium on Particle Image Velocimetry, Delft, The Netherlands

Barnard ST, Thompson WB (1980) Disparity analysis of images. IEEE Trans Pattern Anal Mach Intell 4:333–340CrossRef

Brevis W, Nino Y, Jirka GH (2011) Integrating cross-correlation and relaxation algorithms for particle tracking velocimetry. Exp Fluids 50(1):135–147CrossRef

Cardwell ND, Vlachos PP, Thole KA (2011) A multi-parametric particle-pairing algorithm for particle tracking in single and multiphase flows. Meas Sci Technol 22(10):105406CrossRef

Elsinga GE, Scarano F, Wieneke B, Van Oudheusden BW (2006) Tomographic particle image velocimetry. Exp Fluids 41:933–947CrossRef

Fuchs T, Hain R, Kahler CJ (2016) Double-frame 3D-PTV using a tomographic predictor. Exp Fluids 57:174CrossRef

Hill D, Troolin D, Walters G, Lai W, Sharp K (2008) Volumetric 3-component velocimetry (v3v) measurements of the turbulent flow in stirred tank reactors. In: Proceedings of the 14th international symposium on applications of laser techniques to fluid mechanics. Lisbon, Portugal

Ishikawa M, Murai Y, Wada A, Iguchi M, Okamoto K, Yamamoto F (2000) A novel algorithm for particle tracking velocimetry using the velocity gradient tensor. Exp Fluids 29:519–531CrossRef

Jia P, Wang Y, Zhang Y (2013) Improvement in the independence of relaxation method-based particle tracking velocimetry. Meas Sci Technol 24:055301CrossRef

Jia P, Wang Y, Zhang Y, Yang B (2015) Relaxation algorithm-based PTV with dual calculation method and its application in addressing particle saltation. J Vis 18(1):71–81CrossRef

Knaak M, Rothlubbers C, Orglmeister R (1997) A Hopfield neural network for flow field computation based on particle image velocimetry/particle tracking velocimetry image sequences. In: Proceedings of the IEEE international conference on neural networks, pp 48–52

Labonte G (1999) A new neural network for particle tracking velocimetry. Exp Fluids 26(4):340–346CrossRef

Maas HG, Gruen A, Papantoniou D (1993) Particle tracking velocimetry in three-dimensional flows. Part I: photogrammetric determination of particle coordinates. Exp Fluids 15:133–146CrossRef

Malik NA, Dracos T, Papantoniou DA (1993) Particle tracking velocimetry in three-dimensional flows. Part II: particle tracking. Exp Fluids 15:279–294CrossRef

Mikheev A, Zubtsov V (2008) Enhanced Particle Tracking Velocimetry (EPTV) with a combined two-component pair-matching algorithm. Meas Sci Technol 19(085401):085401CrossRef

Nishino K, Kasagi N, Hirata M (1989) Three-dimensional particle tracking velocimetry based on automated digital image processing. Trans ASME J Fluid Eng 111:384–390CrossRef

Novara M, Scarano F (2013) A particle-tracking approach for accurate material derivative measurements with tomographic PIV. Exp Fluids 54:1584CrossRef

Novara M, Schanz D, Reuther N, Kahler CJ, Schroder A (2016) Lagrangian 3D particle tracking in high-speed flows: shake-The-Box for multi-pulse systems. Exp Fluids 57(8):1–20CrossRef

Ohmi K, Li H (2000) Particle tracking velocimetry with new algorithms. Meas Sci Technol 11(6):603–616CrossRef

Ohmi K, Panday SP (2009) Particle tracking velocimetry using the genetic algorithm. J Vis 12(3):217–232CrossRef

Ohmi K, Panday SP, Sapkota A (2010) Particle tracking velocimetry with an ant colony optimization algorithm. Exp Fluids 48(4):589–605CrossRef

Okamoto K, Hassan YA, Schmidl WD (1995) New tracking algorithm for particle image velocimetry. Exp Fluids 19(5):342–347CrossRef

Okamoto K, Nishio S, Kobayashi T, Saga T, Takehara K (2000) Evaluation of the 3d-PIV standard images (PIV-STD project). J Vis 3(2):115–123CrossRef

Pereira F, Stuer H, Graff E, Gharib M (2006) Two-frame 3D particle tracking. Meas Sci Technol 17:1680–1692CrossRef

Ruhnau P, Guetter C, Putze T, Schnoerr C (2005) A variational approach for Particle Tracking Velocimetry. Meas Sci Technol 16:1449–1458CrossRef

Schanz D, Schröder A, Gesemann S (2016) Shake-The-Box: Lagrangian particle tracking at high particle image densities. Exp Fluids 57:70CrossRef

Schröder A, Geisler R, Staak K, Wieneke B, Elsinga G, Scarano F, Henning A (2011) Lagrangian and Eulerian views into a turbulent boundary layer flow using time-resolved tomographic PIV. Exp Fluids 50:1071–1091CrossRef

Si H (2015) TetGen, a Delaunay-based quality tetrahedral mesh generator. ACM Trans Math 41(2):11. https://dl.acm.org/citation.cfm?id=2629697

Song X, Yamamoto F, Iguchi M, Murai Y (1999) New tracking algorithm of PIV and removal of spurious vectors using Delaunay tessellation. Exp Fluids 26:371–380CrossRef

Takehara K, Adrian RJ, Etoh GT, Christensen KT (2001) A Kalman tracker for super-resolution PIV. Exp Fluids 29:S34-S41

Troolin DR, Longmire EK (2010) Volumetric velocity measurements of vortex rings from inclined exits. Exp Fluids 48:409–420CrossRef

Uemura T, Yamamoto F, Ohmi K (1989) A high-speed algorithm of image analysis for real time measurement of a two-dimensional velocity distribution. Flow Vis ASME FED 85:129–134

Westerweel J, Elsinga GE, Adrian R (2013) Particle Image Velocimetry for Complex and Turbulent Flows. Annu Rev Fluid Mech 45:409–436MathSciNetCrossRefMATH

Zhang W, Wang Y, Lee SJ (2008) Simultaneous PIV and PTV measurements of wind and sand particle velocities. Exp Fluids 45(2):241–256CrossRef

Zhang Y, Wang Y, Jia P (2014) Improving the Delaunay tessellation particle tracking algorithm in the three-dimensional field. Meas 49:1–14CrossRef

Zhang Y, Wang Y, Yang B, He WB (2015) A particle tracking velocimetry algorithm based on the Voronoi diagram. Meas Sci Technol 26(7):075302CrossRef

Zhang Y, Wang Y, Yang B, Jia P (2016) Measurement of sand creep on a flat sand bed using a high-speed digital camera: Mesoscopic features of creeping grains. Sedimentology 63(3):629–644CrossRef

Titel: Three-dimensional particle tracking velocimetry algorithm based on tetrahedron vote
verfasst von: Yutong Cui
Yang Zhang
Pan Jia
Yuan Wang
Jingcong Huang
Junlei Cui
Wing T. Lai
Publikationsdatum: 01.02.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Experiments in Fluids / Ausgabe 2/2018
Print ISSN: 0723-4864
Elektronische ISSN: 1432-1114
DOI: https://doi.org/10.1007/s00348-017-2485-9

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