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Journal articles on the topic 'Tomographic PIV'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Champagnat, Frédéric, Philippe Cornic, Adam Cheminet, Benjamin Leclaire, Guy Le Besnerais, and Aurélien Plyer. "Tomographic PIV: particles versus blobs." Measurement Science and Technology 25, no. 8 (July 14, 2014): 084002. http://dx.doi.org/10.1088/0957-0233/25/8/084002.

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2

Scarano, F. "Tomographic PIV: principles and practice." Measurement Science and Technology 24, no. 1 (October 29, 2012): 012001. http://dx.doi.org/10.1088/0957-0233/24/1/012001.

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3

Jiang, Nan, Quan Bao, and Shaoqiong Yang. "3D Reconstruction technique for tomographic PIV." Transactions of Tianjin University 21, no. 6 (December 2015): 533–40. http://dx.doi.org/10.1007/s12209-015-2285-3.

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4

Schmid, Peter J., Daniele Violato, and Fulvio Scarano. "Decomposition of time-resolved tomographic PIV." Experiments in Fluids 52, no. 6 (February 15, 2012): 1567–79. http://dx.doi.org/10.1007/s00348-012-1266-8.

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5

Felli, Mario, Massimo Falchi, and Giulio Dubbioso. "Tomographic-PIV Survey of the Near-Field Hydrodynamic and Hydroacoustic Characteristics of a Marine Propeller." Journal of Ship Research 59, no. 04 (December 1, 2015): 201–8. http://dx.doi.org/10.5957/jsr.2015.59.4.201.

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This article deals with a pioneering application of tomographic particle image velocimetry (tomographic PIV) for the hydrodynamic and hydroacoustic analysis of a marine propeller. The hydrodynamic study was mainly focused on the topological analysis of the propeller wake characteristics in the near field based on the vorticity field and on the tilting and stretching terms of the vorticity transport equation. Hydroacoustic analysis concerned the use of tomographic PIV in combination with the Powell's acoustic analogy. Tomographic PIV proved to be a valid tool for the detailed quantitative reconstruction of the complex vortex topology in the propeller wake and provided an accurate description of the source terms of the Powell's analogy. In particular, it was shown that the tip vortex perturbation represents the dominant nonlinear contribution to the radiated far-field noise in non-cavitating flow conditions.

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6

OHMI, Kazuo. "Comparison of reconstruction strategies in tomographic PIV." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): J05214. http://dx.doi.org/10.1299/jsmemecj.2019.j05214.

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7

Novara, Matteo, Kees Joost Batenburg, and Fulvio Scarano. "Motion tracking-enhanced MART for tomographic PIV." Measurement Science and Technology 21, no. 3 (January 25, 2010): 035401. http://dx.doi.org/10.1088/0957-0233/21/3/035401.

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8

Ye, ZhiJian, Qi Gao, HongPing Wang, RunJie Wei, and JinJun Wang. "Dual-basis reconstruction techniques for tomographic PIV." Science China Technological Sciences 58, no. 11 (August 19, 2015): 1963–70. http://dx.doi.org/10.1007/s11431-015-5909-x.

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9

Discetti, Stefano, and Tommaso Astarita. "A fast multi-resolution approach to tomographic PIV." Experiments in Fluids 52, no. 3 (May 17, 2011): 765–77. http://dx.doi.org/10.1007/s00348-011-1119-x.

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10

Buchner, Abel-John, Nicolas Buchmann, Kareem Kilany, Callum Atkinson, and Julio Soria. "Stereoscopic and tomographic PIV of a pitching plate." Experiments in Fluids 52, no. 2 (November 1, 2011): 299–314. http://dx.doi.org/10.1007/s00348-011-1218-8.

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11

Quan, Bao, and Jiang Nan. "A Simplified 3D Reconstruction Technique for Tomographic Particle Image Velocimetry." Advanced Materials Research 718-720 (July 2013): 2184–90. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2184.

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Tomographic particle image velocimetry (Tomo-PIV) is a newly developed technique for three-component three-dimensional (3C-3D) velocity measurement based on the tomographic reconstruction of a 3D volume light intensity field from multiple two-dimensional projections. A simplification of 3D tomographic reconstruction model, which reduced from a 3D volume with 2D images to a 2D slice with 1D lines, simplify this 3D reconstruction into a problem of 2D plane reconstruction by means of optical tomography, is applied in this paper . The principles and details of the tomographic algorithm are discussed, as well as the study of ART and MART reconstruction algorithm is carried out by means of computer-simulated image reconstruction procedure. The three-dimensional volume particle field is reconstructed by MART reconstruction algorithm base on the simplified 3D reconstruction model which made a high reconstruction quality Q=81.37% prove that the way of simplification by MART reconstruction is feasible, so it could be applied in reconstruction of 3D particle field in tomographic particle image velocimetry system.

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12

Cao, Lixia, Biao Zhang, Jian Li, Xianglei Song, Zhiyong Tang, and Chuanlong Xu. "Characteristics of tomographic reconstruction of light-field Tomo-PIV." Optics Communications 442 (July 2019): 132–47. http://dx.doi.org/10.1016/j.optcom.2019.03.026.

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13

Liu, Ning, Yue Wu, and Lin Ma. "Quantification of tomographic PIV uncertainty using controlled experimental measurements." Applied Optics 57, no. 3 (January 17, 2018): 420. http://dx.doi.org/10.1364/ao.57.000420.

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14

Ortiz-Dueñas, Cecilia, Jungyong Kim, and Ellen K. Longmire. "Investigation of liquid–liquid drop coalescence using tomographic PIV." Experiments in Fluids 49, no. 1 (January 20, 2010): 111–29. http://dx.doi.org/10.1007/s00348-009-0810-7.

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15

Roloff, Christoph, Daniel Stucht, Oliver Beuing, and Philipp Berg. "Comparison of intracranial aneurysm flow quantification techniques: standard PIV vs stereoscopic PIV vs tomographic PIV vs phase-contrast MRI vs CFD." Journal of NeuroInterventional Surgery 11, no. 3 (July 30, 2018): 275–82. http://dx.doi.org/10.1136/neurintsurg-2018-013921.

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Image-based hemodynamic simulations to assess the rupture risk or improve the treatment planning of intracranial aneurysms have become popular recently. However, due to strong modeling assumptions and limitations, the acceptance of numerical approaches remains limited. Therefore, validation using experimental methods is mandatory.In this study, a unique compilation of four in-vitro flow measurements (three particle image velocimetry approaches using a standard (PIV), stereoscopic (sPIV), and tomographic (tPIV) setup, as well as a phase-contrast magnetic resonance imaging (PC-MRI) measurement) were compared with a computational fluid dynamics (CFD) simulation. This was carried out in a patient-specific silicone phantom model of an internal carotid artery aneurysm under steady flow conditions. To evaluate differences between each technique, a similarity index (SI) with respect to the velocity vectors and the average velocity magnitude differences among all involved modalities were computed.The qualitative comparison reveals that all techniques are able to provide a reasonable description of the global flow structures. High quantitative agreement in terms of SI and velocity magnitude differences was found between all PIV methods and CFD. However, quantitative differences were observed between PC-MRI and the other techniques. Deeper analysis revealed that the limited resolution of the PC-MRI technique is a major contributor to the experienced differences and leads to a systematic underestimation of overall velocity magnitude levels inside the vessel. This confirms the necessity of using highly resolving flow measurement techniques, such as PIV, in an in-vitro environment to individually verify the validity of the numerically obtained hemodynamic results.

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16

Murphy, D. W., D. R. Webster, and J. Yen. "A high-speed tomographic PIV system for measuring zooplanktonic flow." Limnology and Oceanography: Methods 10, no. 12 (December 2012): 1096–112. http://dx.doi.org/10.4319/lom.2012.10.1096.

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17

Earl, Thomas A., J. Paetzold, and S. Cochard. "TOMOGRAPHIC PIV MEASUREMENTS OF TURBULENT FOUNTAINS WITH REFRACTION INDEX MATCHING." Journal of Flow Visualization and Image Processing 20, no. 3 (2013): 179–208. http://dx.doi.org/10.1615/jflowvisimageproc.2014011727.

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18

Tokarev, M. P., D. K. Sharaborin, A. S. Lobasov, L. M. Chikishev, V. M. Dulin, and D. M. Markovich. "3D velocity measurements in a premixed flame by tomographic PIV." Measurement Science and Technology 26, no. 6 (April 23, 2015): 064001. http://dx.doi.org/10.1088/0957-0233/26/6/064001.

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19

Ebi, Dominik, and Noel T. Clemens. "Simultaneous high-speed 3D flame front detection and tomographic PIV." Measurement Science and Technology 27, no. 3 (January 19, 2016): 035303. http://dx.doi.org/10.1088/0957-0233/27/3/035303.

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20

Liu, Ning, Yue Wu, and Lin Ma. "Quantification of tomographic PIV uncertainty using controlled experimental measurements: erratum." Applied Optics 57, no. 29 (October 5, 2018): 8624. http://dx.doi.org/10.1364/ao.57.008624.

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21

Liang, Jiaming, Shengze Cai, Chao Xu, and Jian Chu. "Filtering enhanced tomographic PIV reconstruction based on deep neural networks." IET Cyber-Systems and Robotics 2, no. 1 (March 1, 2020): 43–52. http://dx.doi.org/10.1049/iet-csr.2019.0040.

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22

Ward, Matthew, Martin Passmore, Adrian Spencer, Andy Harland, Henry Hanson, and Tim Lucas. "Comparing the Aerodynamic Behaviour of Real Footballs to a Smooth Sphere Using Tomographic PIV." Proceedings 49, no. 1 (June 15, 2020): 150. http://dx.doi.org/10.3390/proceedings2020049150.

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Many studies have investigated the forces acting on a football in flight and how these change with the introduction or modification of surface features; however, these rarely give insight into the underlying fluid mechanics causing these changes. In this paper, force balance and tomographic particle image velocimetry (PIV) measurements were taken on a smooth sphere and a real Telstar18 football at a range of airspeeds. This was done under both static and spinning conditions utilizing a lower support through the vertical axis of the ball. It was found that the presence of the seams and texturing on the real ball were enough to cause a change from a reverse Magnus effect on the smooth ball to a conventional Magnus on the real ball in some conditions. The tomographic PIV data showed the traditional horseshoe-shaped wake structure behind the sphere and how this changed with the type of Magnus effect. It was found that the positioning of these vortices compared well with the measured side forces.

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23

Lynch, K. P., and F. Scarano. "Experimental determination of tomographic PIV accuracy by a 12-camera system." Measurement Science and Technology 25, no. 8 (July 14, 2014): 084003. http://dx.doi.org/10.1088/0957-0233/25/8/084003.

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24

Liu, Ning, and Lin Ma. "Regularized tomographic PIV for incompressible flows based on conservation of mass." Applied Optics 59, no. 6 (February 14, 2020): 1667. http://dx.doi.org/10.1364/ao.380720.

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25

OHMI, Kazuo. "Comparative tomographic PIV experiment using a prism filter based camera system." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): J0540206. http://dx.doi.org/10.1299/jsmemecj.2018.j0540206.

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26

Stolt, Adam J., Al Habib Ullah, and Jordi Estevadeordal. "Study of Leading-Edge Dimple Effects on Airfoil Flow Using Tomographic PIV and Temperature Sensitive Paint." Fluids 4, no. 4 (October 14, 2019): 184. http://dx.doi.org/10.3390/fluids4040184.

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Airfoil blades can experience a significant change of angle of attack during operation cycles, which may lead to static or dynamic stall in various applications. It is unclear how elements distributed at the leading edge would affect the aerodynamic performance and stall behaviors. In the present study, a distributed dimples configuration was investigated and compared to a baseline smooth NACA0015 airfoil at low Reynolds numbers. Two- and four-camera, tomographic particle image velocimetry (PIV), and temperature sensitive paint (TSP) techniques were set up to gather flow and surface information near the curved leading-edge surface and to study flow separation. Results suggest that distributed dimples configuration create abrupt separation leading to stall and induce a similar stall compared to the smooth model. However, the stall is induced more abruptly and with different flow patterns. Results show that patterns of separated shear layer at stalled conditions were enhanced by the current configuration. Effect of these structures on the boundary layer transition were also analyzed based on combined tomographic PIV and TSP measurement techniques.

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27

Tian, Hai Ping, Shao Qiong Yang, and Nan Jiang. "Topological Characteristics of Coherent Structures in the Turbulent Boundary Layer Measured by Tomo-PIV." Advanced Materials Research 718-720 (July 2013): 801–6. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.801.

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Database of time series of the instantaneous three-dimensional three-component (3D-3C) velocity vector field, measured by tomographic time-resolved PIV(Tomo-PIV) in a water tunnel, was analyzed to investigate spatial topologies of coherent structures in the turbulent boundary layer (TBL). A new concept of spatial locally averaged velocity structure function of turbulence is put forward to describe the spatial dilation or compression of the multi-scale coherent structures in the TBL. According to the physical mechanism of dilation or compression of multi-scale coherent vortex structures in the turbulent flow, a new conditional sampling method was proposed as well to extract the spatial topological characteristics of physical quantities of coherent structures, such as fluctuating velocities, velocity gradients, velocity strain rates and vorticity during the bursting process in the Tomo-PIV database. Furthermore, the anti-symmetric structures are the typical spatial topologies characteristics for the velocity gradients and vorticity during coherent structures burst.

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28

Tang, Zhan-Qi, Nan Jiang, Andreas Schröder, and Reinhard Geisler. "Tomographic PIV investigation of coherent structures in a turbulent boundary layer flow." Acta Mechanica Sinica 28, no. 3 (May 27, 2012): 572–82. http://dx.doi.org/10.1007/s10409-012-0082-y.

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29

Markovich, Dmitriy M., Vladimir M. Dulin, Sergey S. Abdurakipov, Leonid A. Kozinkin, Mikhail P. Tokarev, and Kemal Hanjalić. "Helical modes in low- and high-swirl jets measured by tomographic PIV." Journal of Turbulence 17, no. 7 (June 9, 2016): 678–98. http://dx.doi.org/10.1080/14685248.2016.1173697.

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30

Worth, N. A., T. B. Nickels, and N. Swaminathan. "A tomographic PIV resolution study based on homogeneous isotropic turbulence DNS data." Experiments in Fluids 49, no. 3 (February 16, 2010): 637–56. http://dx.doi.org/10.1007/s00348-010-0840-1.

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31

Elsinga, G. E., and J. Westerweel. "Tomographic-PIV measurement of the flow around a zigzag boundary layer trip." Experiments in Fluids 52, no. 4 (July 8, 2011): 865–76. http://dx.doi.org/10.1007/s00348-011-1153-8.

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32

Adhikari, D., and E. K. Longmire. "Visual hull method for tomographic PIV measurement of flow around moving objects." Experiments in Fluids 53, no. 4 (June 29, 2012): 943–64. http://dx.doi.org/10.1007/s00348-012-1338-9.

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33

Bruecker, Christoph, David Hess, and Bo Watz. "Volumetric Calibration Refinement of a Multi-Camera System Based on Tomographic Reconstruction of Particle Images." Optics 1, no. 1 (March 3, 2020): 114–35. http://dx.doi.org/10.3390/opt1010009.

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The calibration of a multi-camera system for volumetric measurements is a basic requirement of reliable 3D measurements and object tracking. In order to refine the precision of the mapping functions, a new, tomographic reconstruction-based approach is presented. The method is suitable for Volumetric Particle Image Velocimetry (PIV), where small particles, drops or bubbles are illuminated and precise 3D position tracking or velocimetry is applied. The technique is based on the 2D cross-correlation of original images of particles with regions from a back projection of a tomographic reconstruction of the particles. The off-set of the peaks in the correlation maps represent disparities, which are used to correct the mapping functions for each sensor plane in an iterative procedure. For validation and practical applicability of the method, a sensitivity analysis has been performed using a synthetic data set followed by the application of the technique on Tomo-PIV measurements of a jet-flow. The results show that initial large disparities could be corrected to an average of below 0.1 pixels during the refinement steps, which drastically improves reconstruction quality and improves measurement accuracy and reliability.

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34

SHEKHAR, Chandra, Kazunao TAKAHASHI, Takuya MATSUNAGA, Koichi NISHINO, and Takahisa NAGAO. "G0500405 Whole-field flow measurement inside a stirred mixer using Tomographic PIV technique." Proceedings of Mechanical Engineering Congress, Japan 2015 (2015): _G0500405——_G0500405—. http://dx.doi.org/10.1299/jsmemecj.2015._g0500405-.

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35

Baum, E., B. Peterson, C. Surmann, D. Michaelis, B. Böhm, and A. Dreizler. "Investigation of the 3D flow field in an IC engine using tomographic PIV." Proceedings of the Combustion Institute 34, no. 2 (January 2013): 2903–10. http://dx.doi.org/10.1016/j.proci.2012.06.123.

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36

Agarwal, Avinash Kumar, Suresh Gadekar, and Akhilendra Pratap Singh. "In-cylinder air-flow characteristics of different intake port geometries using tomographic PIV." Physics of Fluids 29, no. 9 (September 2017): 095104. http://dx.doi.org/10.1063/1.5000725.

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37

Elsinga, G. E., J. Westerweel, F. Scarano, and M. Novara. "On the velocity of ghost particles and the bias errors in Tomographic-PIV." Experiments in Fluids 50, no. 4 (July 14, 2010): 825–38. http://dx.doi.org/10.1007/s00348-010-0930-0.

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38

de Silva, C. M., R. Baidya, M. Khashehchi, and I. Marusic. "Assessment of tomographic PIV in wall-bounded turbulence using direct numerical simulation data." Experiments in Fluids 52, no. 2 (November 27, 2011): 425–40. http://dx.doi.org/10.1007/s00348-011-1227-7.

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39

Tokgoz, S., G. E. Elsinga, R. Delfos, and J. Westerweel. "Spatial resolution and dissipation rate estimation in Taylor--Couette flow for tomographic PIV." Experiments in Fluids 53, no. 3 (May 15, 2012): 561–83. http://dx.doi.org/10.1007/s00348-012-1311-7.

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40

Ye, Qingqing, Ferry F. J. Schrijer, and Fulvio Scarano. "Geometry effect of isolated roughness on boundary layer transition investigated by tomographic PIV." International Journal of Heat and Fluid Flow 61 (October 2016): 31–44. http://dx.doi.org/10.1016/j.ijheatfluidflow.2016.05.016.

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41

Warfvinge, Kajsa, Marco KleinHeerenbrink, and Anders Hedenström. "The power–speed relationship is U-shaped in two free-flying hawkmoths ( Manduca sexta )." Journal of The Royal Society Interface 14, no. 134 (September 2017): 20170372. http://dx.doi.org/10.1098/rsif.2017.0372.

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A flying animal can minimize its energy consumption by choosing an optimal flight speed depending on the task at hand. Choice of flight speed can be predicted by modelling the aerodynamic power required for flight, and this tool has previously been used extensively in bird migration research. For insects, however, it is uncertain whether any of the commonly used power models are useful, as insects often operate in a very different flow regime from vertebrates. To investigate this, we measured aerodynamic power in the wake of two Manduca sexta flying freely in a wind tunnel at 1–3.8 ms −1 , using tomographic particle image velocimetry (tomo-PIV). The expended power was similar in magnitude to that predicted by two classic models. However, the most ubiquitously used model, originally intended for vertebrates, failed to predict the sharp increase in power at higher speeds, leading to an overestimate of predicted flight speed during longer flights. In addition to measuring aerodynamic power, the tomo-PIV system yielded a highly detailed visualization of the wake, which proved to be significantly more intricate than could be inferred from previous smoke trail- and two-dimensional-PIV studies.

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42

Yang, Shao-Qiong, Shan Li, Hai-Ping Tian, Qing-Yi Wang, and Nan Jiang. "Tomographic PIV investigation on coherent vortex structures over shark-skin-inspired drag-reducing riblets." Acta Mechanica Sinica 32, no. 2 (December 7, 2015): 284–94. http://dx.doi.org/10.1007/s10409-015-0541-3.

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43

Elsinga, G. E., and S. Tokgoz. "Ghost hunting—an assessment of ghost particle detection and removal methods for tomographic-PIV." Measurement Science and Technology 25, no. 8 (July 14, 2014): 084004. http://dx.doi.org/10.1088/0957-0233/25/8/084004.

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44

Adhikari, Deepak, and Ellen K. Longmire. "Infrared tomographic PIV and 3D motion tracking system applied to aquatic predator–prey interaction." Measurement Science and Technology 24, no. 2 (December 20, 2012): 024011. http://dx.doi.org/10.1088/0957-0233/24/2/024011.

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45

Hamdi, Jana, Kamel Abed-Meraïm, Hassan Assoum, Anas Sakout, Marwan Al-Kheir, Tarek Mrach, Laurent Rambault, Sebastien Cauet, and Eric Etien. "Tomographic and Time-Resolved PIV measurement of an Impinging Jet on a Slotted Plate." MATEC Web of Conferences 261 (2019): 03004. http://dx.doi.org/10.1051/matecconf/201926103004.

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In order to reveal the complete topology of unsteady coherent flow structures the instantaneous measurement of the 3D velocity field is being of the great interest in fluid mechanic. Several different methods were proposed to achieve a 3D version of the technique (scanning light sheet, holography, 3D PTV). We aimed in our study to develop a 3D technique than enables to obtain the 3D kinematic field of an impinging jet by using 2D measurements. In this study and in order to validate the proposed technique [1], the tomographic particle image velocimetry technique has been applied to time resolved PIV recordings. The first step before the validation was to study the vortex shedding phenomena between the jet exit and the slotted plate. The experiments were performed at a Re = 4458 with an initial velocity U0=7m/s using three cameras Phantom V711 and a Nd: YLF LDY 300 Litron laser. In the present study, we analyzed the coherent structures organization by a 3D-velocity visualization. Both mean and fluctuating part of velocity were analyzed for several positions in z. The results has shown that a couple of vortex rolls are created downstream the flow at y/H=2.

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46

Rau, Matthew J., Pavlos P. Vlachos, and Suresh V. Garimella. "A tomographic-PIV investigation of vapor-induced flow structures in confined jet impingement boiling." International Journal of Multiphase Flow 84 (September 2016): 86–97. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2016.03.024.

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47

Kühn, Matthias, Klaus Ehrenfried, Johannes Bosbach, and Claus Wagner. "Large-scale tomographic PIV in forced and mixed convection using a parallel SMART version." Experiments in Fluids 53, no. 1 (May 4, 2012): 91–103. http://dx.doi.org/10.1007/s00348-012-1301-9.

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48

Alekseenko, Sergey V., Sergey S. Abdurakipov, Mikhail Y. Hrebtov, Mikhail P. Tokarev, Vladimir M. Dulin, and Dmitriy M. Markovich. "Coherent structures in the near-field of swirling turbulent jets: A tomographic PIV study." International Journal of Heat and Fluid Flow 70 (April 2018): 363–79. http://dx.doi.org/10.1016/j.ijheatfluidflow.2017.12.009.

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49

Drobek, Christoph, Robert Mau, and Hermann Seitz. "Tomographic particle image velocimetry of a water-jet for low volume harvesting of fat tissue for regenerative medicine." Current Directions in Biomedical Engineering 1, no. 1 (September 1, 2015): 345–48. http://dx.doi.org/10.1515/cdbme-2015-0085.

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AbstractParticle Image Velocimetry (PIV) measurements of a water-jet for water-assisted liposuction (WAL) are carried out to investigate the distribution of velocity and therefore momentum and acting force on the human sub-cutaneous fat tissue. These results shall validate CFD simulations and force sensor measurements of the water-jet and support the development of a new WAL device that is able to harvest low volumes of fat tissue for regenerative medicine even gentler than regular WAL devices.

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50

Peterson, B., E. Baum, C. P. Ding, D. Michaelis, A. Dreizler, and B. Böhm. "Assessment and application of tomographic PIV for the spray-induced flow in an IC engine." Proceedings of the Combustion Institute 36, no. 3 (2017): 3467–75. http://dx.doi.org/10.1016/j.proci.2016.06.114.

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