scholarly journals Tomographic X-ray particle tracking velocimetry

2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Simo A. Mäkiharju ◽  
Jan Dewanckele ◽  
Marijn Boone ◽  
Christian Wagner ◽  
Andreas Griesser

Abstract We investigate the feasibility of in-laboratory tomographic X-ray particle tracking velocimetry (TXPTV) and consider creeping flows with nearly density matched flow tracers. Specifically, in these proof-of-concept experiments we examined a Poiseuille flow, flow through porous media and a multiphase flow with a Taylor bubble. For a full 360$$^\circ$$ ∘ computed tomography (CT) scan we show that the specially selected 60 micron tracer particles could be imaged in less than 3 seconds with a signal-to-noise ratio between the tracers and the fluid of 2.5, sufficient to achieve proper volumetric segmentation at each time step. In the pipe flow, continuous Lagrangian particle trajectories were obtained, after which all the standard techniques used for PTV or PIV (taken at visible wave lengths) could also be employed for TXPTV data. And, with TXPTV we can examine flows inaccessible with visible wave lengths due to opaque media or numerous refractive interfaces. In the case of opaque porous media we were able to observe material accumulation and pore clogging, and for flow with Taylor bubble we can trace the particles and hence obtain velocities in the liquid film between the wall and bubble, with thickness of liquid film itself also simultaneously obtained from the volumetric reconstruction after segmentation. While improvements in scan speed are anticipated due to continuing improvements in CT system components, we show that for the flows examined even the presently available CT systems could yield quantitative flow data with the primary limitation being the quality of available flow tracers. Graphic abstract

Author(s):  
Yohsuke Tanaka ◽  
Shigeru Murata

As an example of Flow-Induced Vibration (FIV), an interaction between a circular cylinder and a surrounding flow is measured by Digital Holographic Particle Tracking Velocimetry (DH PTV). Tracer particles having two different diameters are dispersed in a cylinder and pipe flow. The cylinder, containing dispersed tracer particles, is made of an acrylic transparent resin and is attached to an inner wall of the pipe. In order to suppress a difference in the refractive index between the cylinder and fluid, the acrylic pipe is filled with a refractive-index-matching liquid having the same refractive index as the cylinder (1.49). The holographic pattern of the tracer particles dispersed in both the cylinder and fluid is measured by digital in-line holography. The three-dimensional position of particles is detected by reconstructed holographic patterns at each time step. Three-dimensional velocity of a surrounding flow and three-dimensional vibration of the cylinder are derived by using a Self-Organizing Map (SOM). Vector fields for the vibrating cylinder and surrounding flow are individually identified from the difference in the particle size detected by digital holography.


Author(s):  
Joshua B. Drake ◽  
Andrea L. Kenney ◽  
Timothy B. Morgan ◽  
Theodore J. Heindel

X-ray imaging, as a noninvasive flow visualization technique, has been shown to be a useful method for observing and characterizing multiphase flows. One type of X-ray flow visualization technique, called X-ray Particle Tracking Velocimetry (XPTV), tracks an X-ray attenuating particle in an opaque fluid flow. A significant challenge with XPTV is identifying tracer particles with the desired fluid flow characteristics (e.g., small and neutrally buoyant) but yet differentially attenuate X-rays, which is based primarily on density differences. This paper describes the manufacturing of XPTV tracer particles that satisfy specific particle characteristics including high X-ray attenuation, uniform shape, specified effective density, and desired diameter. An example use of these particles as an intruder particle in a fluidized bed (to simulate biomass injection) is then demonstrated using X-ray stereographic imaging to determine intruder particle position as a function of time in a three-dimensional opaque system.


Author(s):  
Joshua B. Drake ◽  
Lie Tang ◽  
Theodore J. Heindel

Fluidized beds are commonly found in the chemical and energy processing industries because of their low pressure drop, uniform temperature distribution, and high heat transfer rates. For example, in biomass gasification, biomass particles are injected into a heated bubbling bed of inert material (typically refractory sand) that volatilizes to form a flammable gas. However, the movement of the biomass particle through the bubbling bed is difficult to quantify because the systems are opaque. This paper describes X-ray particle tracking velocimetry (XPTV) applied to fluidized beds, where X-ray flow visualization is used to track the location of a single fabricated tracer particle as a function of time in a fluidized bed to study the bed/particle hydrodynamics. Using stereoscopic X-ray imaging, the 3D position of the tracer particle as a function of time is determined, from which tracer particle velocity can be calculated. Details and challenges of the XPTV process are also summarized.


Author(s):  
Jeffrey S. Guasto ◽  
Peter Huang ◽  
Kenneth S. Breuer

We present the theory and experimental validation of a particle tracking velocimetry algorithm developed for application with nanometer-sized tracer particles such as fluorescent molecules and quantum dots (QDs). Traditional algorithms are challenged by extremely small tracers due to difficulties in determining the particle center, shot noise, high drop-in/drop-out and, in the case of quantum dots, fluorescence intermittency (blinking). The algorithms presented here determine real velocity distributions from measured particle displacement distributions by statistically removing randomly distributed tracking events. The theory was verified through tracking experiments using 54 nm flourescent dextran molecules and 6 nm QDs.


2006 ◽  
Vol 41 (6) ◽  
pp. 869-880 ◽  
Author(s):  
Jeffrey S. Guasto ◽  
Peter Huang ◽  
Kenneth S. Breuer

2014 ◽  
Vol 39 ◽  
pp. 64-75 ◽  
Author(s):  
Todd A. Kingston ◽  
Timothy B. Morgan ◽  
Taylor A. Geick ◽  
Teshia R. Robinson ◽  
Theodore J. Heindel

2011 ◽  
Vol 88 (3) ◽  
pp. 343-365 ◽  
Author(s):  
Dominique Tarlet ◽  
Christian Bendicks ◽  
Christoph Roloff ◽  
Róbert Bordás ◽  
Bernd Wunderlich ◽  
...  

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