Academic literature on the topic '3D PTV'
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Journal articles on the topic "3D PTV"
Malik, Nadeem A., and Th Dracos. "Lagrangian PTV in 3D flows." Applied Scientific Research 51, no. 1-2 (June 1993): 161–66. http://dx.doi.org/10.1007/bf01082531.
Full textKim, Hyoungsoo, Jerry Westerweel, and Gerrit E. Elsinga. "Comparison of Tomo-PIV and 3D-PTV for microfluidic flows." Measurement Science and Technology 24, no. 2 (December 20, 2012): 024007. http://dx.doi.org/10.1088/0957-0233/24/2/024007.
Full textAbuhijla, Fawzi Jamil, Lubna Abdelrahman Hammoudeh, Ramiz Ahmad Abu-Hijlih, and Jamal Khader. "The impact of four dimensions CT simulation on planning target volume in radiotherapy for primary lung cancer." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): e20091-e20091. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e20091.
Full textWatamura, Tomoaki, Yuji Tasaka, and Yuichi Murai. "LCD-projector-based 3D color PTV." Experimental Thermal and Fluid Science 47 (May 2013): 68–80. http://dx.doi.org/10.1016/j.expthermflusci.2012.12.019.
Full textHwang, T. G., D. H. Doh, and K. Okamoto. "4D-PTV Measurements of an impinged jet with a dynamic 3D-PTV." Journal of Visualization 8, no. 3 (September 2005): 245–52. http://dx.doi.org/10.1007/bf03181502.
Full textAtkinson, C., N. A. Buchmann, and J. Soria. "Computationally efficient storage of 3D particle intensity and position data for use in 3D PIV and 3D PTV." Measurement Science and Technology 24, no. 11 (September 25, 2013): 115303. http://dx.doi.org/10.1088/0957-0233/24/11/115303.
Full textFu, Sijie, Pascal Henry Biwole, Christian Mathis, and Philippe Maïssa. "Numerical and experimental comparison of complete three-dimensional particle tracking velocimetry algorithms for indoor airflow study." Indoor and Built Environment 27, no. 4 (December 6, 2016): 528–43. http://dx.doi.org/10.1177/1420326x16682294.
Full textSeredkin, Alexander, Maxim Shestakov, and Tokarev Mikhail. "An industrial light field camera applied for 3D velocity measurements in flow past confined cylinder." EPJ Web of Conferences 196 (2019): 00056. http://dx.doi.org/10.1051/epjconf/201919600056.
Full textUEMURA, Tomomasa, Takashi USUI, Isamu TAKEUCHI, Fujio YAMAMOTO, and Manabu IGICHI. "A measurement method of 3D coordinates of tracers for 3D-PTV." Journal of the Visualization Society of Japan 12, no. 1Supplement (1992): 103–6. http://dx.doi.org/10.3154/jvs.12.1supplement_103.
Full textAgüera, Nereida, Gioacchino Cafiero, Tommaso Astarita, and Stefano Discetti. "Ensemble 3D PTV for high resolution turbulent statistics." Measurement Science and Technology 27, no. 12 (October 25, 2016): 124011. http://dx.doi.org/10.1088/0957-0233/27/12/124011.
Full textDissertations / Theses on the topic "3D PTV"
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1231402875520-12137.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s)
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23711.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s).
Kitzhofer, Jens. "Volumetric measurements of the transitional backward facing step flow." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2011. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-79718.
Full textSteele, Edward C. C. "Three-dimensional turbulence characteristics of the bottom boundary layer of the coastal ocean." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3459.
Full textRezig, Sawsen. "Étude et amélioration du suivi tridimensionnel des flux d’air dans une pièce de bâtiment." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEE002/document.
Full textIn this thesis, we describe an approach for Lagrangian characterizing of airflows using particle tracking velocimetry, a camera system was implemented here and Helium filled bubbles images were acquired in a synchronized way. We developed a new system for particle trajectories calculation based on a multi-scale image processing technique and well-known 3D reconstruction methods. Our system allows tracking particles in 3D space and providing yet a global description of airflows in large-scale environment.The application is supposed to improve the optimization of ventilation in building rooms in order to reduce energy consumption by optimal positioning and shaping of air diffusers. A major constraint here is to preserve human comfort
Carvalho, Victor. "Mise en oeuvre de méthodes optiques de vélocimétries 2D et 3D appliquées à l’étude de l’effet Marangoni autour d’une bulle unique." Thesis, Besançon, 2014. http://www.theses.fr/2014BESA2073/document.
Full textThe Marangoni convection is a phenomenon that appears in the presence of a tension surface gradient along an interface between two immiscible fluids. It is possible to observe that appear convection around vapor bubbles in the heat exchangers with the phase change. However, the Marangoni convection has been neglected to other phenomena involved in the heat transfer. In the age of miniaturization, it becomes impossible to overlook this micro convection. The aim of this thesis si to characterize the dynamics of Marangoni convection around a bubble. The first part deals with the 2D results around an air bubble in the presence of a temperature gradient. This case is easier to implement and allows having a better knowledge with the Marangoni convection. The second part focuses on the two-dimensional study of the convection around a vapor bubble The results showed that the phenomenon quickly became three-dimensional. The last section therefore presents a method for measuring optical innovative 3D3C
Ebermann, Marko. "3D-Anmerkungen unter PTC® Creo Parametric 2.0." Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-114661.
Full textLee, Wing Kai. "The application of 2D and 3D particle image velocimetry (PIV) for measurement in high speed flows." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343141.
Full textTronchin, Thibaut. "Caractérisation expérimentale et numérique des mécanismes tourbillonnaires de génération de portance sur une aile en mouvement couplé de battement et tangage." Phd thesis, ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2013. http://tel.archives-ouvertes.fr/tel-00904118.
Full textDaher, Petra. "Analyse spatio-temporelle des structures à grande échelle dans les écoulements confinés : cas de l'aérodynamique interne dans un moteur à allumage commandé." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMR100/document.
Full textThe unsteady evolution of three-dimensional large scale flow structures can often lead to a decrease in the performance of energetic systems. This is the case of cycle-to-cycle variations occurring in the internal combustion engine. Despite the substantial advancement made by numerical simulations in fluid mechanics, experimental measurements remain a requirement to validate any numerical model of a physical process. In this thesis, two types of particle image velocimetry (PIV) were applied and adapted to the optical engine test bench of the Coria laboratory in order to study the in-cylinder flow with respect to six operating conditions. First, the Time-Resolved PIV (2D2C) allowed obtaining a temporal tracking of the in-cylinder flow and identifying cyclic variabilities. Then tomographic PIV (3D3C) allowed extending the measured data to the three-dimensional domain. The Tomo-PIV setup consisted of 4 cameras in angular positioning, visualizing a confined environment with restricted optical access and important optical deformations. This required a particular attention regarding the 3D calibration process of camera models. 2D and 3D conditional analyses of the flow were performed using the proper orthogonal decomposition (POD) allowing to separate the different scales of flow structures and the Γ criterion allowing the identification of vortices centres
Books on the topic "3D PTV"
Drew, Wells, ed. Ray Tracing Creations: Generate 3D Photorealistic Images on the PC. 2nd ed. Corte Madera, CA: Waite group Press, 1994.
Find full textLee, Wing Kai. The application of 2D and 3D particle image velocimetry (PIV) for measurement in high speed flows. [s.l.]: typescript, 1999.
Find full textMiller, Owen I., and Werner Budts. Heart valve disease: pulmonary valve disease. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0038.
Full textBook chapters on the topic "3D PTV"
Malik, Nadeem A., and Th Dracos. "Lagrangian PTV in 3D Flows." In Advances in Turbulence IV, 161–66. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1689-3_27.
Full textMaas, Hans-Gerd, Torsten Putze, and Patrick Westfeld. "Recent Developments in 3D-PTV and Tomo-PIV." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 53–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01106-1_6.
Full textKitzhofer, Jens, Clemens Kirmse, and Christoph Brücker. "High Density, Long-Term 3D PTV Using 3D Scanning Illumination and Telecentric Imaging." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 125–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01106-1_13.
Full textUemura, Tomomasa, Fujio Yamamoto, and Manabu Iguchi. "News 3D-PTV Algorithms Based on Correlation Between Binary Images." In Flow Visualization VI, 817–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84824-7_146.
Full textLüthi, B., and U. Burr. "Velocity Derivatives in Turbulent Flow Obtained from 3D-PTV Measurements." In Sedimentation and Sediment Transport, 251–54. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0347-5_40.
Full textRossi, Massimiliano, and Alvaro Marin. "Single-Camera 3D PTV Methods for Evaporation-Driven Liquid Flows in Sessile Droplets." In Fluid Mechanics and Its Applications, 225–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33338-6_18.
Full textCenedese, A., J. H. Cushman, and M. Moroni. "3D-PTV experiments of anomalous, steady transport of a conservative tracer in porous media." In Laser Techniques for Fluid Mechanics, 25–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-08263-8_2.
Full textVirant, M., and TH Dracos. "An Application of 3D-PTV on the Measurement of Turbulent Quantities and Particle Dispersion in Turbulent Channel Flow." In Advances in Turbulence VI, 499–502. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0297-8_140.
Full textRaffel, Markus, Christian E. Willert, Fulvio Scarano, Christian J. Kähler, Steven T. Wereley, and Jürgen Kompenhans. "Techniques for 3D-PIV." In Particle Image Velocimetry, 309–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68852-7_9.
Full textCalluaud, D., and L. David. "3D-PIV Measurements near the Wall." In Particle Image Velocimetry: Recent Improvements, 407–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18795-7_29.
Full textConference papers on the topic "3D PTV"
Akutina, Y., S. Gaskin, and L. Mydlarski. "3D-PTV in a shallow embayment." In The International Conference On Fluvial Hydraulics (River Flow 2016). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315644479-53.
Full textStueer, Heinrich, Jochen Willneff, and Hans-Gerd Maas. "Evaluation of image compression in 3D PTV." In Electronic Imaging '99, edited by Sabry F. El-Hakim and Armin Gruen. SPIE, 1998. http://dx.doi.org/10.1117/12.333787.
Full textKlimentjew, Denis, Nils Erik Flick, Till Bosselmann, and Jianwei Zhang. "3D hypergraph-oriented air flow analysis based on PTV." In 2010 International Conference on Information and Automation (ICIA). IEEE, 2010. http://dx.doi.org/10.1109/icinfa.2010.5512373.
Full textLee, Sang Joon. "Advanced Particle-Based Velocimetry Techniques for Microscale Flows." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18203.
Full textKent, J. C., Nizar Trigui, W. C. Choi, Yann G. Guezennec, and R. S. Brodkey. "Photogrammetric calibration for improved three-dimensional particle-tracking velocimetry (3D PTV)." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Soyoung S. Cha and James D. Trolinger. SPIE, 1993. http://dx.doi.org/10.1117/12.163725.
Full textLi, Xiao-Bin, Masamichi Oishi, Tsukasa Matsuo, Marie Oshima, Feng-Chen Li, and Song-Jing Li. "Measurement of 3D Flow Structure of Viscoelastic Fluid Using Digital Holographic Microscope." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-10310.
Full textZhang, Lanyue, Fabian Weigler, Zhaochen Jiang, Vesselin Idakiev, Lothar Mörl, Jochen Mellmann, and Evangelos Tsotsas. "Investigation of 3D particle flow in a flighted rotating drum." In 21st International Drying Symposium. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7389.
Full textHadfield, Jake, and David S. Nobes. "Implementation of Focused Plenoptic Time-Resolved 3D-PTV in the Analysis of a Vortex Flow." In Second Thermal and Fluids Engineering Conference. Connecticut: Begellhouse, 2017. http://dx.doi.org/10.1615/tfec2017.emi.018384.
Full textSchosser, Constantin, Stefan Lecheler, and Michael Pfitzner. "A Test Rig for the Investigation of the Performance and Flow Field of Tesla Friction Turbines." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-25399.
Full textDore, V., Monica Moroni, Antonio Cenedese, and M. Marchetti. "Experimental study on the evolution of a thermally forced convective boundary layer through 3D PTV and temperature measurements." In Turbulence, Heat and Mass Transfer 6. Proceedings of the Sixth International Symposium On Turbulence, Heat and Mass Transfer. Connecticut: Begellhouse, 2009. http://dx.doi.org/10.1615/ichmt.2009.turbulheatmasstransf.180.
Full textReports on the topic "3D PTV"
Acharya, Sumanta. A 3D-PIV System for Gas Turbine Applications. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada406716.
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