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Journal articles on the topic "3D PTV"

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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.

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Kim, 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.

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Abuhijla, 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.

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e20091 Background: 4D CT simulation has been evolved to estimate the internal body motion and considered as a useful tool for intra-thoracic tumor definition. This study aimed to evaluate the impact of using 4D simulation on the planning target volume (PTV) for primary lung tumor. Methods: Patients who underwent CT simulation for primary lung cancer radiotherapy between 2012-2016 using 3D- (free breathing) and 4D- (respiratory gated) institutional protocol were included in this retrospective review. For each patient, gross tumor volume (GTV) was contoured in free breathing scan (3D-GTV), exhale scan (e-GTV) and inhale scan (i-GTV). The corresponding CTVs (3D-CTV, e-CTV and i-CTV) were created by adding 1 cm in all directions. 3D-internal target volume (3D-ITV) was generated by 0.5 cm cranio-caudal expansion of 3D-CTV, while 4D-ITV was created by combination of e-CTV and i-CTV. Subsequently, a 0.5 cm margin was added to generate the 3D-PTV and 4D-PTV respectively. The volumes of 3D-PTV and 4D-PTV were compared to examine the impact of 4D CT simulation on changes in the volume of PTV. Univariable and multivariable analysis were performed to test the impact of volume and location of GTV on the changes of PTV volume by more than 10 % between free breathing and respiratory gated scans. Results: A total of 10 patients were identified. The median [range] GTV, i-GTV, e-GTV volumes were 13.55 [1.44-628.66], 13.17 [1.77-627.36], 12.85 [1.34-630.25] cc respectively. The 3D-CTV, i-CTV, e-CTV volumes were 86.37 [23.76-1209], 84.97 [25.5- 1220.4], 83.40 [23.36-1224.12] cc respectively. 3D-ITV and 4D-ITV median volume was 106.06 [3.99-1422.8], 88.02 [20.51-1338.18] cc respectively. 3D-PTV was significantly larger than the 4D-PTV; median [range] volumes were 182.79 [58.65- 1861.05] vs. 158.21 [52.76-1771.02] cc, p = 0.0068). On multivariable analysis, neither the volume of GTV (p = 0.4917), nor the location of the tumor (peripheral, p = 0.4914 or lower location, p = 0.9594) had an in impact on PTV differences between free breathing and respiratory gated scans. Conclusions: The use of 4D simulation reduces the PTV for primary lung cancer, and it should be routinely implemented in clinical practice regardless the tumor volume or location.
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Watamura, 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.

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Hwang, 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.

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Atkinson, 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.

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Fu, 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.

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The experimental data retrieved from three-dimensional particle tracking velocimetry (3D PTV) are crucial for indoor environment engineering when designing ventilation strategies or monitoring airborne pollutants dispersion in inhabited spaces as well as in livestock compounds. The performance of the measurement algorithm, as the core part of the 3D PTV technology, has a strong influence on the final results. This study presents a method to select the better 3D PTV algorithm depending on the application targeted. This study first compared the performance of seven 3D PTV algorithms on two types of 3D laminar macro scale flows of known Navier–Stokes solutions, namely the Kovasznay and Beltrami flows. The comparison was based on the accuracy, the measuring volume coverage and the achievable trajectory length of each algorithm with respect to the particle tracking density and the total number of frames. Then, the measurement algorithms with better performances were further compared with the experimental measurement of real 3D airflows in a cubic cavity. The results suggest that different measurement algorithms have different advantages and drawbacks depending on the application targeted, and that the algorithms using the epipolar constraint as the method of spatial matching generally perform better.
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Seredkin, 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.

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Light field cameras have some advantages over classic cameras in a narrow field of application, such photography, cinematography surveillance and quality control in industry. Light field cameras have larger depth of field, compare to regular camera, but lower spatial resolution along optical axis then binocular system. However, 3D velocity measurements using light field are reasonable alternative to modern 3D PIV measurements. The nature of light field image requires extra reconstruction step which affects overall accuracy. In this article, light field PTV was compared to Tomo-PIV. Both techniques were used to measure 3D velocity fields in a turbulent wake past confined cylinder.
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UEMURA, 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.

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Agüera, 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.

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Dissertations / Theses on the topic "3D PTV"

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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.

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Die 3D Particle Tracking Velocimetry (3D PTV) ist eine Methode zur bildbasierten Bestimmung von Geschwindigkeitsfeldern in Gas- oder Flüssigkeitsströmungen. Dazu wird die Strömung mit Partikeln markiert und durch ein Mehrkamerasystem beobachtet. Das Ergebnis der Datenauswertung sind 3D Trajektorien einer großen Anzahl von Partikeln, die zur statistischen Analyse der Strömung genutzt werden können. In der vorliegenden Arbeit werden verschiedene neu entwickelte Modelle gezeigt, die das Einsatzspektrum vergrößern und die Leistungsfähigkeit der 3D PTV erhöhen. Wesentliche Neuerungen sind der Einsatz eines Spiegelsystems zur Generierung eines virtuellen Kamerasystems, die Modellierung von komplex parametrisierten Trennflächen der Mehrmedienphotogrammetrie, eine wahrscheinlichkeitsbasierte Trackingmethode sowie eine neuartige Methode zur tomographischen Rekonstruktion von Rastervolumendaten. Die neuen Modelle sind an drei realen Experimentieranlagen und mit synthetischen Daten getestet worden. Durch den Einsatz eines Strahlteilers vor dem Objektiv einer einzelnen Kamera und vier Umlenkspiegeln, positioniert im weiteren Strahlengang, werden vier virtuelle Kameras generiert. Diese Methode zeichnet sich vor allem durch die Wirtschaftlichkeit als auch durch die nicht notwendige Synchronisation aus. Vor allem für die Anwendung im Hochgeschwindigkeitsbereich sind diese beiden Faktoren entscheidend. Bei der Beobachtung von Phänomenen in Wasser kommt es an den Trennflächen verschiedener Medien zur optischen Brechung. Diese muss für die weitere Auswertung zwingend modelliert werden. Für komplexe Trennflächen sind einfache Ansätze über zusätzliche Korrekturterme nicht praktikabel. Der entwickelte Ansatz basiert auf der mehrfachen Brechung jedes einzelnen Bildstrahls. Dazu müssen die Trennflächenparameter und die Kameraorientierungen im selben Koordinatensystem bekannt sein. Zumeist wird die Mehrbildzuordnung von Partikeln durch die Verwendung von Kernlinien realisiert. Auf Grund von instabilen Kameraorientierungen oder bei einer sehr hohen Partikeldichte sind diese geometrischen Eigenschaften nicht mehr ausreichend, um die Mehrbildzuordnung zu lösen. Unter der Ausnutzung weiterer geometrischer, radiometrischer und physikalischer Eigenschaften kann die Bestimmung der 3D Trajektorien dennoch durchgeführt werden. Dabei werden durch die Analyse verschiedener Merkmale diejenigen ausgewählt, welche sich für die spatio-temporale Zuordnung eignen. Die 3D PTV beruht auf der Diskretisierung der Partikelabbildungen im Bildraum und der anschließenden Objektkoordinatenbestimmung. Eine rasterbasierte Betrachtungsweise stellt die tomographische Rekonstruktion des Volumens dar. Hierbei wird die Intensitätsverteilung wird im Volumen rekonstruiert. Die Bewegungsinformationen werden im Anschluss aus den Veränderungen aufeinander folgender 3D-Bilder bestimmt. Durch dieses Verfahren können Strömungen mit einer höheren Partikeldichte im Volumen analysiert werden. Das entwickelte Verfahren basiert auf der schichtweisen Entzerrung und Zusammensetzung der Kamerabilder. Die entwickelten Modelle und Ansätze sind an verschiedenen Versuchsanlagen erprobt worden. Diese unterschieden sich stark in der Größe (0,5 dm³ – 20 dm³ – 130 m³) und den vorherrschenden Strömungsgeschwindigkeiten (0,3 m/s – 7 m/s – 0,5 m/s)
3D 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)
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2

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.

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Die 3D Particle Tracking Velocimetry (3D PTV) ist eine Methode zur bildbasierten Bestimmung von Geschwindigkeitsfeldern in Gas- oder Flüssigkeitsströmungen. Dazu wird die Strömung mit Partikeln markiert und durch ein Mehrkamerasystem beobachtet. Das Ergebnis der Datenauswertung sind 3D Trajektorien einer großen Anzahl von Partikeln, die zur statistischen Analyse der Strömung genutzt werden können. In der vorliegenden Arbeit werden verschiedene neu entwickelte Modelle gezeigt, die das Einsatzspektrum vergrößern und die Leistungsfähigkeit der 3D PTV erhöhen. Wesentliche Neuerungen sind der Einsatz eines Spiegelsystems zur Generierung eines virtuellen Kamerasystems, die Modellierung von komplex parametrisierten Trennflächen der Mehrmedienphotogrammetrie, eine wahrscheinlichkeitsbasierte Trackingmethode sowie eine neuartige Methode zur tomographischen Rekonstruktion von Rastervolumendaten. Die neuen Modelle sind an drei realen Experimentieranlagen und mit synthetischen Daten getestet worden. Durch den Einsatz eines Strahlteilers vor dem Objektiv einer einzelnen Kamera und vier Umlenkspiegeln, positioniert im weiteren Strahlengang, werden vier virtuelle Kameras generiert. Diese Methode zeichnet sich vor allem durch die Wirtschaftlichkeit als auch durch die nicht notwendige Synchronisation aus. Vor allem für die Anwendung im Hochgeschwindigkeitsbereich sind diese beiden Faktoren entscheidend. Bei der Beobachtung von Phänomenen in Wasser kommt es an den Trennflächen verschiedener Medien zur optischen Brechung. Diese muss für die weitere Auswertung zwingend modelliert werden. Für komplexe Trennflächen sind einfache Ansätze über zusätzliche Korrekturterme nicht praktikabel. Der entwickelte Ansatz basiert auf der mehrfachen Brechung jedes einzelnen Bildstrahls. Dazu müssen die Trennflächenparameter und die Kameraorientierungen im selben Koordinatensystem bekannt sein. Zumeist wird die Mehrbildzuordnung von Partikeln durch die Verwendung von Kernlinien realisiert. Auf Grund von instabilen Kameraorientierungen oder bei einer sehr hohen Partikeldichte sind diese geometrischen Eigenschaften nicht mehr ausreichend, um die Mehrbildzuordnung zu lösen. Unter der Ausnutzung weiterer geometrischer, radiometrischer und physikalischer Eigenschaften kann die Bestimmung der 3D Trajektorien dennoch durchgeführt werden. Dabei werden durch die Analyse verschiedener Merkmale diejenigen ausgewählt, welche sich für die spatio-temporale Zuordnung eignen. Die 3D PTV beruht auf der Diskretisierung der Partikelabbildungen im Bildraum und der anschließenden Objektkoordinatenbestimmung. Eine rasterbasierte Betrachtungsweise stellt die tomographische Rekonstruktion des Volumens dar. Hierbei wird die Intensitätsverteilung wird im Volumen rekonstruiert. Die Bewegungsinformationen werden im Anschluss aus den Veränderungen aufeinander folgender 3D-Bilder bestimmt. Durch dieses Verfahren können Strömungen mit einer höheren Partikeldichte im Volumen analysiert werden. Das entwickelte Verfahren basiert auf der schichtweisen Entzerrung und Zusammensetzung der Kamerabilder. Die entwickelten Modelle und Ansätze sind an verschiedenen Versuchsanlagen erprobt worden. Diese unterschieden sich stark in der Größe (0,5 dm³ – 20 dm³ – 130 m³) und den vorherrschenden Strömungsgeschwindigkeiten (0,3 m/s – 7 m/s – 0,5 m/s).
3D 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).
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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.

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The thesis describes state of the art volumetric measurement techniques and applies a 3D measurement technique, 3D Scanning Particle Tracking Velocimetry, to the transitional backward facing step flow. The measurement technique allows the spatial and temporal analysis of coherent structures apparent at the backward facing step. The thesis focusses on the extraction and interaction of coherent flow structures like shear layers or vortical structures.
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Steele, 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.

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The form and dynamics of ocean turbulence are critical to all marine processes; biological, chemical and physical. The three-dimensional turbulence characteristics of the bottom boundary layer of the coastal ocean are examined using a series of 29,991 instantaneous velocity distributions. These data, recorded by a submersible 3D-PTV system at an elevation of 0.64 m above the seabed, represent conditions typical of moderate tidal flows in the coastal ocean. A complexity associated with submersible 3D-PTV in the coastal ocean is that gaps and noise affect the accuracy of the data collected. To accommodate this, a new Physics-Enabled Flow Restoration Algorithm has been tested for the restoration of gappy and noisy velocity measurements where a standard PTV or PIV laboratory set-up (e.g. concentration / size of the particles tracked) is not possible and the boundary and initial conditions are not known a priori. This is able to restore the physical structure of the flow from gappy and noisy data, in accordance with its hydrodynamical basis. In addition to the restoration of the velocity flow field, PEFRA also estimates the maximum possible deviation of the output from the true flow. 3D-PTV measurements show coherent structures, with the hairpin-like vortices highlighted in laboratory measurements and numerical modelling, were frequently present within the logarithmic layer. These exhibit a modal alignment of 8 degrees from the mean flow and a modal elevation of 27 degrees from the seabed, with a mean period of occurrence of 4.3 sec. These appear to straddle sections of zero-mean along-stream velocity, consistent with an interpretation as packets. From these measurements, it is clear that data collected through both laboratory and numerical experiments are directly applicable to geophysical scales – a finding that will enable the fine-scale details of particle transport and pollutant dispersion to be studied in future. Conditional sampling of the Reynolds shear stress (without using Taylor’s hypothesis) reveals that these coherent structures are responsible for the vertical exchange of momentum and, as such, are the key areas where energy is extracted from the mean flow and into turbulence. The present study offers the first assessment of the magnitude of the errors associated with assuming isotropy on shear-based sensors of the TKE dissipation rate and its consequential effect on the Kolmogorov microscale using 3D-PTV data from the bottom boundary layer of the coastal ocean. The results indicate a high degree of spatial variability associated with the low conditions. The averaged data supports the validity of measurements obtained by horizontal and vertical profilers, however along-stream velocity derivatives underestimate the TKE dissipation rate by more than 40% – a factor of two higher than for the equivalent cross-stream and vertical estimates. This has important implications for the deployment of these sensors and the subsequent interpretation of higher-order statistics. Finally, the data have been processed to test four popular sub-grid scale (SGS) stress models and SGS dissipation rate estimates for Large-Eddy Simulations using these in situ experimental data. When the correlation and SGS model coefficients are assessed, the nonlinear model represents the best stress models to use for the present data, consistent with the substantial anisotropy and inhomogeneity associated with these flows. The detailed measurement and analysis of coherent structures in the coastal ocean undertaken therefore supports the development of numerical models and assists with the understanding of all marine processes.
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Rezig, 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.

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Les travaux réalisés dans le cadre de cette thèse visent à décrire une approche Lagrangienne de caractérisation de flux d’air par suivi de particules, nous avons implémenté un système de caméras synchronisées pour l’acquisition des images de bulles de savon remplies à l’hélium. L’approche développée pour le calcul des trajectoires des particules est basée sur une méthode multi-échelle de détection de points intérêt et de reconstruction 3D. Le système permet ainsi de réaliser un suivi tridimensionnel et fournir une description des flux d’air présents dans une pièce à grande échelle
In 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
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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.

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La convection de Marangoni est un phénomène hydrodynamique qui apparaît en présence d'un gradient de tension de surface le long d'une interface entre deux fluides non miscibles. Il est possible de voir apparaître cette convection, dans les échangeurs de chaleur avec changement de phase, autour des bulles de vapeur. Cependant, la convection de Marangoni a longtemps été négligée devant les autres phénomènes intervenant dans le transfert de chaleur. A l'ère de la miniaturisation, il devient impossible de négliger cette micro convection. Le but de la thèse est donc de caractériser la dynamique d'écoulement de la convection de Marangoni autour d'une bulle. La première partie présente la résultats 2D obtenus autour d'une bulle d'air en présence d'un gradient de température. Ce cas est plus simple à mettre en oeuvre et permet ainsi de se familiariser avec la convection de Marangoni. La seconde partie porte cette fois-ci sur l'étude bidimensionnelle de cette convection autour d'une bulle de vapeur. Les résultats ont montré que le phénomène devenait très rapidement tridimensionnel . La dernière partie présente donc une méthode de mesure optique 3D innovatrice qui permet de connaître la dynamique de l'écoulement dans les trois dimensions et les trois composantes
The 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
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Ebermann, Marko. "3D-Anmerkungen unter PTC® Creo Parametric 2.0." Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-114661.

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Das Nutzen von 3D-Anmerkungselementen unter PTC Creo-Parametric ermöglicht die Erstellung von 3D-CAD-Modellen mit ausführlichen Informationen zu Funktion, Tolerierung und Fertigung. Dadurch kann der Archivierungs- und Versionspflegeaufwand von Produktdaten und ein besseres, räumliches Verständnis für das Produkt in seiner Entstehungsphase erreicht werden.
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Lee, 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.

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Tronchin, 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.

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A bas nombre de Reynolds, le concept de voilure battante apparaît comme une alternative auxconcepts conventionnels de voilure fixe et voilure tournante. Dans le cadre d'une applicationpratique (micro-drones ou MAVs), l'évaluation de l'adaptabilité d'un tel mode de sustentationrequiert la compréhension fine des principaux mécanismes aérodynamiques mis en jeu et de leurimpact sur les efforts résultants. Ces derniers se caractérisent par une instationnarité forte et descomportements complexes.Les travaux de cette thèse se concentrent sur l'étude du mouvement de vol battu à bas Reynolds (del'ordre de 1000), dans une configuration de vol stationnaire. Le modèle est constitué d'une ailerectangulaire à profil symétrique animé d'un mouvement couplé de battement et de tangage. Cemode de sustentation se caractérise par la génération à proximité de l'aile de structurestourbillonnaires plus ou moins persistantes influant fortement les efforts appliqués à l'aile.L'objectif consiste à analyser l'évolution des mécanismes instationnaires et des efforts en résultant.L'étude porte en particulier sur une analyse approfondie d'un cas de référence, comparé ensuite àd'autre résultats lors d'une étude paramétrique portant sur l'influences de l'allongement d'une part, etde la cinématique du mouvement d'autre part.Les moyens d'investigations adoptés pour mener cette étude sont à la fois numériques etexpérimentaux, L'analyse repose d'une part sur une approche numérique DNS utilisant unetechnique de maillage " chimère ", et d'autre part sur des mesures en bassin de type PIV 3D-3Crésolues en temps. La mesure directe des efforts instationnaires de faible niveau étant difficilementenvisageable, une part importante du travail a consisté à adapter une méthode d'évaluation desefforts par bilan de quantité de mouvement à partir des champs de vitesse PIV résolus en temps. Lespoints durs de cette approche, en particulier l'évaluation de la pression à partir des champs devitesse, font l'objet d'une attention particulière.
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Daher, 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.

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Les mécanismes d’évolution spatio-temporelle des structures turbulentes instationnaires tridimensionnelles, et en particulier ceux rencontrés aux plus grandes échelles, sont à l’origine de phénomènes d’instabilité qui conduisent très souvent à une diminution de la performance des systèmes énergétiques. C’est le cas des variations cycle-à-cycle dans le moteur à combustion interne. Malgré les progrès substantiels réalisés par la simulation numérique en mécanique des fluides, les approches expérimentales demeurent essentielles pour l’analyse et la compréhension des phénomènes physiques ayant lieu. Dans ce travail de thèse, deux types de vélocimétrie par image de particules (PIV) ont été appliqués et adaptés au banc moteur optique du laboratoire Coria pour étudier l’écoulement en fonction de six conditions de fonctionnement du moteur. La PIV Haute Cadence 2D2C a permis d’abord d’obtenir un suivi temporel de l’écoulement dans le cylindre durant un même cycle moteur ainsi qu’identifier ces variations cycliques. La PIV Tomographique 3D3C a permis ensuite d’étendre les données mesurées vers l’espace tridimensionnel. La Tomo-PIV fait intervenir 4 caméras en position angulaire visualisant un environnement de géométrie complexe, confinée, ayant un accès optique restreint et introduisant des déformations optiques importantes. Cela a nécessité une attention particulière vis-à-vis du processus de calibration 3D des modèles de caméras. Des analyses conditionnées 2D et 3D de l’écoulement sont effectuées en se basant principalement sur la décomposition propre orthogonale (POD) permettant de séparer les différentes échelles de structure et le critère Γ permettant l’identification des centres des tourbillons
The 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
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Books on the topic "3D PTV"

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Drew, Wells, ed. Ray Tracing Creations: Generate 3D Photorealistic Images on the PC. 2nd ed. Corte Madera, CA: Waite group Press, 1994.

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Lee, Wing Kai. The application of 2D and 3D particle image velocimetry (PIV) for measurement in high speed flows. [s.l.]: typescript, 1999.

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Miller, 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.

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Congenital abnormalities of the pulmonary valve (PV) are common either as a single lesion or in the context of more complex congenital lesions where abnormalities of the PV play a major role in the cardiac physiology. Transthoracic echocardiographic (TTE) imaging of the PV is relatively straightforward in the normally connected heart due to its anterior position close to common sonographic windows. Imaging of the abnormally positioned PV requires modifications to standard projections and may be better demonstrated by a transoesophageal (TOE) or three-dimensional (3D) echocardiographic approach. Standard 3D TTE may offer advantages in surgical planning for an abnormally positioned pulmonary valve in complex congenital anatomy and 3D TOE may add value to the demonstration of abnormalities of the subpulmonary right ventricular outflow tract.
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Book chapters on the topic "3D PTV"

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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.

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Maas, 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.

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Kitzhofer, 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.

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Uemura, 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.

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Lüthi, 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.

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Rossi, 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.

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Cenedese, 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.

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Virant, 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.

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Raffel, 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.

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Calluaud, 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.

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Conference papers on the topic "3D PTV"

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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.

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Stueer, 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.

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Klimentjew, 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.

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Lee, 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.

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Recently microscale flows have been receiving large attention in various research areas. However, most conventional imaging techniques are unsatisfactory due to difficulties encountered in the visualization of microscale flows. Recent advances in optics and digital image processing techniques have made it possible to develop several advanced micro-PIV/PTV techniques. They can be used to obtain quantitative velocity field information of various microscale flows from visualized images of tracer particles. As new advanced micro-PIV techniques, the basic principle and typical application of the time-resolved micro-PIV and X-ray micro-PTV methods are explained. As 3D velocity field measurement technique that can be used to measure microscale flows, the holographic micro-PTV method is introduced. These advanced PIV/PTV techniques can be used to reveal the basic physics of various microscale flows and will play an important role in visualizing hidden microscale flow phenomena, for which conventional methods have many difficulties to analyze.
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Kent, 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.

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Li, 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.

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This paper aims to develop a three-dimensional measurement approach to investigate the flow structures of viscoelastic fluid in the curved microchannel by using digital holographic microscope (DHM). With the advantage of DHM, the real-time three-dimensional measurement for the complex flow field can be accomplished. The measurment system uses off-axis holographic / interferometric optical setup for the target, and 3D3C particle tracking velocimetry (PTV) can be achieved based on the analysis of phase information of holograms. To diagnose the chaotic flow inside the microchannel, the 3D temporal positions of tracer particles in the volume of 282μm × 282μm × 60μm have been detected and real-time velocity vectors were calculated based on the PTV algorithm. The measured flow field was then compared with the results obtained by using confocal micro particle image velocimetry (PIV). This technique is proven to be successful for the measurements of microfluidic flow, especially for the truly real-time 3D motions.
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Zhang, 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.

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To validate the particle motion in flighted rotating drum (FRD), a laboratory FRD was built and operated at 15% filling degree and 10 rpm rotation speed using plastic balls as bed material. The particle tracking velocimetry (PTV) and magnetic particle tracking (MPT) techniques were applied to investigate the particle flow behavior. The 3D particle flow was modeled by Discrete Element Method (DEM) with LIGGGHTS. The height of the barycenter of all overall particles and particle instantaneous velocity were calculated from PTV and DEM data. The 3D time-averaged particle velocity distributions obtained from MPT experiment and DEM simulation were compared.Keywords: flighted rotating drum; particle motion; particle tracking velocimetry; magnetic particle tracking; DEM simulation.
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Hadfield, 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.

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9

Schosser, 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.

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The paper summarizes the development and optimization of a flexible test facility for 3D tomographic PIV/PTV measurements of the flow field in the rotor gap of a Tesla friction turbine and performance evaluations. The main aim of the experiment will be the validation of CFD simulations. Another intention is to gain a deeper understanding of the flow phenomena in the gap. The extension of existing theoretical investigations lead to an improved knowledge of dimensioning such bladeless turbines with the goal of maximum power and efficiency. The mechanical design of the rotor, based on these equations, was optimized for a minimal deformation and low mechanical stress. Modal and harmonic response analyses due to imbalance forces have been performed to ensure low vibrations during operation. The design of the feed and guide vanes have been optimized for uniformity of the flow entering the Tesla disk’s gap. The rotor outlet is optimized to achieve minimal pressure loss at the intended exit swirl angle. For the demonstration of the measurement technique preliminary tomographic PIV/PTV tests have been carried out. The measurement, safety monitoring and feedback-control software was developed for running on a National Instruments compact RIO real-time target.
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Dore, 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.

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Reports on the topic "3D PTV"

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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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