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1

Javadi, Khodayar, Hamid Moezzi-Rafie, Vahid Goodarzi-Ardakani, Aliyar Javadi, and Reinhard Miller. "Flow physics exploration of surface tension driven flows." Colloids and Surfaces A: Physicochemical and Engineering Aspects 518 (April 2017): 30–45. http://dx.doi.org/10.1016/j.colsurfa.2016.12.030.

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2

Sharma, H., A. Vashishtha, and E. Rathakrishnan. "Twin-vortex flow physics." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 222, no. 6 (June 2008): 783–88. http://dx.doi.org/10.1243/09544100jaero322.

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3

Zamir,, M., and RS Budwig,. "Physics of Pulsatile Flow." Applied Mechanics Reviews 55, no. 2 (March 1, 2002): B35. http://dx.doi.org/10.1115/1.1451229.

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4

Schadschneider, Andreas. "Statistical physics of traffic flow." Physica A: Statistical Mechanics and its Applications 285, no. 1-2 (September 2000): 101–20. http://dx.doi.org/10.1016/s0378-4371(00)00274-0.

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5

Harwood, C. M., and Y. L. Young. "A physics-based gap-flow model for potential flow solvers." Ocean Engineering 88 (September 2014): 578–87. http://dx.doi.org/10.1016/j.oceaneng.2014.03.025.

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6

Viti, Valerio, Reece Neel, and Joseph A. Schetz. "Detailed flow physics of the supersonic jet interaction flow field." Physics of Fluids 21, no. 4 (April 2009): 046101. http://dx.doi.org/10.1063/1.3112736.

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7

Elíasson, Jόnas, and Þorsteinn Sæmundsson. "Physics and Modeling of Various Hazardous Landslides." Geosciences 11, no. 3 (March 1, 2021): 108. http://dx.doi.org/10.3390/geosciences11030108.

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In 2014, the Varnes classification system for landslides was updated. Complex landslides can still be a problem to classify as the classification does not include the flow type in the hydrodynamical sense. Three examples of Icelandic landslides are presented and later used as case studies in order to demonstrate the methods suggested to analyze the flow. The methods are based on the different physical properties of the flow types of the slides. Three different flow types are presented, named type (i), (ii), and (iii). Types (i) and (ii) do not include turbulent flows and their flow paths are sometimes independent of the velocity. Type (iii) include high velocity flows; they are treated with the translator wave theory, where a new type of a slope factor is used. It allows the slide to stop when the slope has flattened out to the value that corresponds to the stable slope property of the flowing material. The type studies are for a fast slide of this type, also a large slip circle slide that turns into a fast-flowing slide farther down the path and finally a large slide running so fast that it can run for a kilometer on flat land where it stops with a steep front.
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8

Nakajima, Yoshikazu, Hiroshi Inomata, Hiroki Nogawa, Yohshinobu Sato, Shinichi Tamura, Kozo Okazaki, and Seiji Torii. "Physics-based flow estimation of fluids." Pattern Recognition 36, no. 5 (May 2003): 1203–12. http://dx.doi.org/10.1016/s0031-3203(02)00078-x.

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9

Gierens, K., B. Kärcher, H. Mannstein, and B. Mayer. "Aerodynamic Contrails: Phenomenology and Flow Physics." Journal of the Atmospheric Sciences 66, no. 2 (February 1, 2009): 217–26. http://dx.doi.org/10.1175/2008jas2767.1.

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Abstract Aerodynamic contrails have been recognized for a long time although they appear sporadically. Usually one observes them under humid conditions near the ground, where they are short-lived phenomena. Aerodynamic contrails appear also at cruise levels where they may persist when the ambient atmosphere is ice-supersaturated. The present paper presents a theoretical investigation of aerodynamic contrails in the upper troposphere. The required flow physics are explained and applied to a case study. Results show that the flow over aircraft wings leads to large variations of pressure and temperature. Average pressure differences between the upper and lower sides of a wing are on the order of 50 hPa, which is a quite substantial fraction of cruise-level atmospheric pressures. Adiabatic cooling exceeds 20 K about 2 m above the wing in a case study shown here. Accordingly, extremely high supersaturations (exceeding 1000%) occur for a fraction of a second. The potential consequences for the ice microphysics are discussed. Because aerodynamic contrails are independent of the formation conditions of jet contrails, they form an additional class of contrails that might be complementary because they form predominantly in layers that are too warm for jet contrail formation.
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10

Ghosh, S. K. "The physics of deformation and flow." Journal of Mechanical Working Technology 12, no. 1 (November 1985): 120. http://dx.doi.org/10.1016/0378-3804(85)90049-x.

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11

Umeda, Shinzaburo, Shinji Shigeyama, Kazuaki Iijima, Chikara Sukehira, and Wen-Jei Yang. "EFFLUX FROM A COMPOSITE FLOW NETWORK HAVING FLIP-FLOP FLOW IN PARALLEL WITH SLIT FLOWS." Journal of Flow Visualization and Image Processing 14, no. 3 (2007): 317–37. http://dx.doi.org/10.1615/jflowvisimageproc.v14.i3.50.

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12

Papanastasiou, Tasos C., Dionissios G. Kiriakidis, and Theodore G. Nikoleris. "Extrudate Swelling: Physics, Models, and Computations." Applied Mechanics Reviews 48, no. 10 (October 1, 1995): 689–95. http://dx.doi.org/10.1115/1.3005050.

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Viscous, viscoelastic, or elastic normal stresses are superimposed to pressure within flowing fluids. These stresses act normal to the boundaries of the flow that may deform depending on their modulus or viscosity. At absolutely rigid boundaries of infinite modulus of elasticity any boundary deformation and therefore any fluid expansion or swelling is surpressed (eg, flow in rigid pipes, annuli, channels). Elastic boundaries (eg, flow in veins and arteries, flow by membranes, around inflating/deflating balloons) deform under the action of normal stresses, allowing expansion or swelling of fluid. The same mechanism prevails in lubrication, where pressure and superimposed normal viscoelastic stresses keep surfaces in relative motion apart, with simultaneous increase in load capacity. Viscous boundaries (eg, liquid jet in air or in immiscible liquid, slow extrusion of viscoelastic liquids from dies, expanding/collapsing air-bubbles or liquid-droplets) are displaced by flowing adjacent immiscible fluids, allowing swelling or imposing contraction depending on relative rheological characteristics. Thus, the kind of swelling examined here is independent of density, ie, incompressible, and is due to the action of normal stresses against the boundary that is imposed either by adjacent deformable obstacles or else by surface tension. The resulting swelling is dynamic (ie, it initiates, changes and ceases with the flow) and can be made permanent by solidification, crystallization or glassification. The most profound form of incompressible swelling is the extrude swelling that controls the ultimate shape of extruded parts. Incompressible swelling is enhanced by the ability of macromolecules to deform and recover (eg, viscoelastic) and by the design of flow conduits to impose sharp transitions of deformation modes (eg, singular exit flows). The same swelling is reduced by the ability of molecules (or fibers in fiber-suspensions) to align with the flow streamines, as well as any tendency of solid-like structure formulation (eg, viscoplastic).
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13

Gupta, Rohit, and Phillip J. Ansell. "Unsteady Flow Physics of Airfoil Dynamic Stall." AIAA Journal 57, no. 1 (January 2019): 165–75. http://dx.doi.org/10.2514/1.j057257.

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14

Lamar, John E. "Prediction of F-16XL Flight-Flow Physics." Journal of Aircraft 46, no. 2 (March 2009): 354. http://dx.doi.org/10.2514/1.35182.

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15

Lavine, M. "APPLIED PHYSICS: To Know a Tortured Flow." Science 316, no. 5827 (May 18, 2007): 955d—957d. http://dx.doi.org/10.1126/science.316.5827.955d.

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16

Hobson, Art. "Energy Flow Diagrams for Teaching Physics Concepts." Physics Teacher 42, no. 2 (February 2004): 113–17. http://dx.doi.org/10.1119/1.1646488.

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17

Woolgar, E. "Some applications of Ricci flow in physics." Canadian Journal of Physics 86, no. 4 (April 1, 2008): 645–51. http://dx.doi.org/10.1139/p07-146.

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I discuss certain applications of the Ricci flow in physics. I first review how it arises in the renormalization group (RG) flow of a nonlinear sigma model. I then review the concept of a Ricci soliton and recall how a soliton was used to discuss the RG flow of mass in two dimensions. I then present recent results obtained with Oliynyk on the flow of mass in higher dimensions. The final section discusses how Ricci flow may arise in general relativity, particularly for static metrics.PACS Nos.: 02.40Ky, 02.30Ik, 04.20.–q
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18

Karolyi, G., A. Pentek, I. Scheuring, T. Tel, and Z. Toroczkai. "Chaotic flow: The physics of species coexistence." Proceedings of the National Academy of Sciences 97, no. 25 (November 21, 2000): 13661–65. http://dx.doi.org/10.1073/pnas.240242797.

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19

Giblin, S. "APPLIED PHYSICS: One Electron Makes Current Flow." Science 316, no. 5828 (May 25, 2007): 1130–31. http://dx.doi.org/10.1126/science.1143429.

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20

Kelkar, Milind, and Joachim Heberlein. "Physics of an arc in cross flow." Journal of Physics D: Applied Physics 33, no. 17 (August 14, 2000): 2172–82. http://dx.doi.org/10.1088/0022-3727/33/17/312.

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21

Molerus, O. "Fundamentals of physics of fluid flow reconsidered." Heat and Mass Transfer 45, no. 2 (June 13, 2008): 247–54. http://dx.doi.org/10.1007/s00231-008-0411-7.

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22

Puchalla, Jason, and Angela Li. "An Imaging Flow Cytometer for Introductory Physics." Biophysical Journal 110, no. 3 (February 2016): 173a. http://dx.doi.org/10.1016/j.bpj.2015.11.963.

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23

Sankaran, Sethuraman, David Lesage, Rhea Tombropoulos, Nan Xiao, Hyun Jin Kim, David Spain, Michiel Schaap, and Charles A. Taylor. "Physics driven real-time blood flow simulations." Computer Methods in Applied Mechanics and Engineering 364 (June 2020): 112963. http://dx.doi.org/10.1016/j.cma.2020.112963.

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24

Wang, Bo, Zemin Cai, Lixin Shen, and Tianshu Liu. "An analysis of physics-based optical flow." Journal of Computational and Applied Mathematics 276 (March 2015): 62–80. http://dx.doi.org/10.1016/j.cam.2014.08.020.

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25

Peles, Oren, and Eli Turkel. "Acceleration methods for multi-physics compressible flow." Journal of Computational Physics 358 (April 2018): 201–34. http://dx.doi.org/10.1016/j.jcp.2017.10.011.

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26

Lissa, Simón, Matthias Ruf, Holger Steeb, and Beatriz Quintal. "Digital rock physics applied to squirt flow." GEOPHYSICS 86, no. 4 (July 1, 2021): MR235—MR245. http://dx.doi.org/10.1190/geo2020-0731.1.

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We have developed a workflow for computing the seismic-wave moduli dispersion and attenuation due to squirt flow in a numerical model derived from a micro X-ray computed tomography image of cracked (through thermal treatment) Carrara marble sample. To generate the numerical model, the image is processed, segmented, and meshed. The finite-element method is adopted to solve the linearized, quasistatic Navier-Stokes equations describing laminar flow of a compressible viscous fluid inside the cracks coupled with the quasistatic Lamé-Navier equations for the solid phase. We compute the effective P- and S-wave moduli in the three Cartesian directions for a model in dry conditions (saturated with air) and for a smaller model fully saturated with glycerin and having either drained or undrained boundary conditions. For the model saturated with glycerin, the results indicate significant and frequency-dependent P- and S-wave attenuation and the corresponding dispersion caused by squirt flow. Squirt flow occurs in response to fluid pressure gradients induced in the cracks by the imposed deformations. Our digital rock-physics workflow can be used to interpret laboratory measurements of attenuation using images of the rock sample.
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27

Miles and, Richard B., and Walter R. Lempert. "QUANTITATIVE FLOW VISUALIZATION IN UNSEEDED FLOWS." Annual Review of Fluid Mechanics 29, no. 1 (January 1997): 285–326. http://dx.doi.org/10.1146/annurev.fluid.29.1.285.

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28

Uzun, Ali, John T. Solomon, Chase H. Foster, William S. Oates, M. Yousuff Hussaini, and Farrukh S. Alvi. "Flow Physics of a Pulsed Microjet Actuator for High-Speed Flow Control." AIAA Journal 51, no. 12 (December 2013): 2894–918. http://dx.doi.org/10.2514/1.j052525.

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29

Menon, Karthik, and Rajat Mittal. "Flow physics and dynamics of flow-induced pitch oscillations of an airfoil." Journal of Fluid Mechanics 877 (August 27, 2019): 582–613. http://dx.doi.org/10.1017/jfm.2019.627.

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We conduct a computational study of flow-induced pitch oscillations of a rigid airfoil at a chord-based Reynolds number of 1000. A sharp-interface immersed boundary method is used to simulate two-dimensional incompressible flow, and this is coupled with the equations for a rigid foil supported at the elastic axis with a linear torsional spring. We explore the effect of spring stiffness, equilibrium angle-of-attack and elastic-axis location on the onset of flutter, and the analysis of the simulation data provides insights into the time scales and mechanisms that drive the onset and dynamics of flutter. The dynamics of this configuration includes complex phenomena such as bifurcations, non-monotonic saturation amplitudes, hysteresis and non-stationary limit-cycle oscillations. We show the utility of ‘maps’ of energy exchange between the flow and the airfoil system, as a way to understand, and even predict, this complex behaviour.
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30

Das, Pratik, and Ashoke De. "Numerical study of flow physics in supersonic base-flow with mass bleed." Aerospace Science and Technology 58 (November 2016): 1–17. http://dx.doi.org/10.1016/j.ast.2016.07.016.

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31

Dolling, David S. "High-Speed Turbulent Separated Flows: Consistency of Mathematical Models and Flow Physics." AIAA Journal 36, no. 5 (May 1998): 725–32. http://dx.doi.org/10.2514/2.460.

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32

Dolling, David S. "High-speed turbulent separated flows - Consistency of mathematical models and flow physics." AIAA Journal 36 (January 1998): 725–32. http://dx.doi.org/10.2514/3.13885.

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33

Rood, Edwin P. "Myths, Math, and Physics of Free-Surface Vorticity." Applied Mechanics Reviews 47, no. 6S (June 1, 1994): S152—S156. http://dx.doi.org/10.1115/1.3124395.

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The boundary equations for the production of vorticity are examined in the case of a free surface. Mathematical manipulation of the equations leads to interesting results which are given physical interpretation through examination of three flows: a surface wave, an accelerated free-surface channel flow, and the vortex ring interaction with a free surface. The predicted phenomena are unusual, and require abandonment of preconceptions regarding the notion that vorticity is angular momentum. The flux and appearance of vorticity in free-surface flows is shown to be a consequence of necessary viscous accelerations at the boundary even for otherwise irrotational subsurface flow. The deformation of the free surface is the critical factor separating the free-surface problem from the vortex image analogy.
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34

Hervé, Aurelien, Denis Sipp, Peter J. Schmid, and Manuel Samuelides. "A physics-based approach to flow control using system identification." Journal of Fluid Mechanics 702 (June 7, 2012): 26–58. http://dx.doi.org/10.1017/jfm.2012.112.

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AbstractControl of amplifier flows poses a great challenge, since the influence of environmental noise sources and measurement contamination is a crucial component in the design of models and the subsequent performance of the controller. A model-based approach that makes a priori assumptions on the noise characteristics often yields unsatisfactory results when the true noise environment is different from the assumed one. An alternative approach is proposed that consists of a data-based system-identification technique for modelling the flow; it avoids the model-based shortcomings by directly incorporating noise influences into an auto-regressive (ARMAX) design. This technique is applied to flow over a backward-facing step, a typical example of a noise-amplifier flow. Physical insight into the specifics of the flow is used to interpret and tailor the various terms of the auto-regressive model. The designed compensator shows an impressive performance as well as a remarkable robustness to increased noise levels and to off-design operating conditions. Owing to its reliance on only time-sequences of observable data, the proposed technique should be attractive in the design of control strategies directly from experimental data and should result in effective compensators that maintain performance in a realistic disturbance environment.
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35

Wang, D. Y., N. D. Jin, Y. S. He, L. S. Zhai, and Y. Y. Ren. "Flow measurement of oil-in-water flows in vertical low flow rate and high water-cut flow conditions." Journal of Physics: Conference Series 1065 (August 2018): 092010. http://dx.doi.org/10.1088/1742-6596/1065/9/092010.

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36

LIU, TIANSHU, and LIXIN SHEN. "Fluid flow and optical flow." Journal of Fluid Mechanics 614 (October 16, 2008): 253–91. http://dx.doi.org/10.1017/s0022112008003273.

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The connection between fluid flow and optical flow is explored in typical flow visualizations to provide a rational foundation for application of the optical flow method to image-based fluid velocity measurements. The projected-motion equations are derived, and the physics-based optical flow equation is given. In general, the optical flow is proportional to the path-averaged velocity of fluid or particles weighted with a relevant field quantity. The variational formulation and the corresponding Euler–Lagrange equation are given for optical flow computation. An error analysis for optical flow computation is provided, which is quantitatively examined by simulations on synthetic grid images. Direct comparisons between the optical flow method and the correlation-based method are made in simulations on synthetic particle images and experiments in a strongly excited turbulent jet.
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37

Kuznetsov, V. I., V. V. Makarov, and A. Yu Shander. "Physics and mathematics model of vortex tube working process." Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering 5, no. 2 (2021): 78–87. http://dx.doi.org/10.25206/2588-0373-2021-5-2-78-87.

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Based on the physical model of the Ranque effect, proposed earlier, a simplified mathematical model of the working process of a vortex tube is compiled taking into account the exchange of work and heat during the interaction of peripheral and axial gas flows. The effect of viscosity and angular velocity gradient on the transfer of kinetic energy from the axis to the periphery is shown. The difference in thermodynamic temperatures when heat is supplied from the periphery to the axis is taken into account, which leads to a decrease in the cooling efficiency of the axial gas flow. Energy exchange is based on the assumption that the peripheral gas layers are compressed by the axial flow. The axial flow work is determined by the pressure difference between the valve and the outlet of the diaphragm
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38

Bandi, M. M. "Tension grips the flow." Journal of Fluid Mechanics 846 (May 3, 2018): 1–4. http://dx.doi.org/10.1017/jfm.2018.301.

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Surface tension plays a dominant role in the formation and stability of soap films. It renders them both a quasi-two-dimensional fluid and an elastic membrane at the same time. The techniques for measuring the surface tension of the soap solution may very well apply to the static soap film, but how can the surface tension of a soap film be unintrusively measured, and what value would it assume? The answer, being at the intersection of physical chemistry, non-equilibrium physics and interfacial fluid dynamics, is not amenable to deduction via established methods. In a joint theoretical and experimental study, Sane et al. (J. Fluid Mech., vol. 841, 2018, R2) exploit elasticity theory to glean the answer through a simple, yet elegant framework.
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39

Heinz, Stefan. "On mean flow universality of turbulent wall flows. II. Asymptotic flow analysis." Journal of Turbulence 20, no. 2 (February 1, 2019): 174–93. http://dx.doi.org/10.1080/14685248.2019.1593425.

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40

de Hoon, N., R. van Pelt, A. Jalba, and A. Vilanova. "4D MRI Flow Coupled to Physics-Based Fluid Simulation for Blood-Flow Visualization." Computer Graphics Forum 33, no. 3 (June 2014): 121–30. http://dx.doi.org/10.1111/cgf.12368.

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41

Aliseda, Alberto, and Theodore J. Heindel. "X-Ray Flow Visualization in Multiphase Flows." Annual Review of Fluid Mechanics 53, no. 1 (January 5, 2021): 543–67. http://dx.doi.org/10.1146/annurev-fluid-010719-060201.

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The use of X-ray flow visualization has brought a powerful new tool to the study of multiphase flows. Penetrating radiation can probe the spatial concentration of the different phases without the refraction, diffraction, or multiple scattering that usually produce image artifacts or reduce the signal-to-noise ratio below reliable values in optical visualization of multiphase flows; hence, X-ray visualization enables research into the three-dimensional (3D) structure of multiphase flows characterized by complex interfaces. With the commoditization of X-ray laboratory sources and wider access to synchrotron beam time for fluid mechanics, this novel imaging technique has shed light onto many multiphase flows of industrial and environmental interest under realistic 3D configurations and at realistic operating conditions (high Reynolds numbers and high volume fractions) that had defied study for decades. We present a broad survey of the most commonly studied multiphase flows (e.g., sprays, fluidized beds, bubble columns) in order to highlight the progress X-ray imaging has made in understanding the internal structure and multiphase coupling of these flows, and we discuss the potential of advanced tomography and time-resolved and particle tracking radiography for further study of multiphase flows.
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42

Mackey, Lauren E., and Iain D. Boyd. "Assessment of Hypersonic Flow Physics on Aero-Optics." AIAA Journal 57, no. 9 (September 2019): 3885–97. http://dx.doi.org/10.2514/1.j057869.

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43

Lin, Zipeng. "Physics-Aware Deep Learning on Multiphase Flow Problems." Communications and Network 13, no. 01 (2021): 1–11. http://dx.doi.org/10.4236/cn.2021.131001.

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44

KIM, Jinwoo, Hiroshi INOMATA, Kozo OKAZAKI, Shinichi TAMURA, and Kiyoshi TORII. "Physics-Based Three Dimensional Optical Flow of Fluid." Transactions of the Society of Instrument and Control Engineers 34, no. 12 (1998): 1930–36. http://dx.doi.org/10.9746/sicetr1965.34.1930.

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45

Jeon, Sangyong. "Initial state and flow physics — A theoretical overview." Nuclear Physics A 932 (December 2014): 349–56. http://dx.doi.org/10.1016/j.nuclphysa.2014.09.104.

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46

Ceretto, Federica, G. Agakichiev, H. Appelshäuser, R. Baur, P. Braun-Munzinger, F. Ceretto, A. Cherlin, et al. "Hadron physics with CERES: Spectra and collective flow." Nuclear Physics A 638, no. 1-2 (August 1998): 467c—470c. http://dx.doi.org/10.1016/s0375-9474(98)00383-2.

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47

Sugiyama, Y., M. Kikuchi, A. Nakayama, K. Nishinari, A. Shibata, S. i. Tadaki, and S. Yukawa. "Traffic Flow as Physics of Many-Body System." IFAC Proceedings Volumes 36, no. 14 (August 2003): 335–40. http://dx.doi.org/10.1016/s1474-6670(17)32442-4.

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48

Xiao, Feng, Hai Yang, and Hongbo Ye. "Physics of day-to-day network flow dynamics." Transportation Research Part B: Methodological 86 (April 2016): 86–103. http://dx.doi.org/10.1016/j.trb.2016.01.016.

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49

Schadschneider, Andreas. "Traffic flow: a statistical physics point of view." Physica A: Statistical Mechanics and its Applications 313, no. 1-2 (October 2002): 153–87. http://dx.doi.org/10.1016/s0378-4371(02)01036-1.

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50

Tauro, F., M. Porfiri, and S. Grimaldi. "Fluorescent eco-particles for surface flow physics analysis." AIP Advances 3, no. 3 (March 2013): 032108. http://dx.doi.org/10.1063/1.4794797.

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