Tracking of Particles in Froth Using Neutron Imaging

Abstract

The movement of hydrophobic particles in a rising froth column is investigated. Gadolinium particles are hydrophobized and floated by means of small air bubbles. The generated froth is investigated by neutron imaging. Particles are identified by correlating the resulting radiographs with an artificial template of a typical particle and subsequent scanning for local maxima. The movement of the particles in the froth was analyzed for different froth stabilities, which resulted from various concentrations of the frother sodium oleate. Decreasing froth stability leads to lower superficial vertical particle velocity and to higher horizontal diffusion of particles due to bubble rupture.

Phase boundary dynamics of bubble flow in a thick liquid metal layer under an applied magnetic field

“…NR, on the other hand, while similar in principle to XR, allows, for some metals, probing much thicker samples and, as such, is a very promising experimental method that should enable broader coverage of the parameter spaces of various liquid metal systems [2,28,29]. While considerable progress has been made outside of the liquid metal context and without MF [30][31][32], only a few advances with some notable exceptions, have been achieved for liquid metal systems using NR, and to our knowledge it has not been used to systematically study the MF effects on bubble flow [2,28,29,[33][34][35][36].…”

MHT-X: Offline Multiple Hypothesis Tracking with Algorithm X

“…The association search problem is formulated as an exact cover problem, which is then solved using The tracking algorithm described herein was developed in Python for the analysis of multiphase hydrodynamic systems, such as bubble and particle flow in liquids. In our field of research, there are several cases of interest where explicit, precise and robust object tracking is desired: dynamic optical, X-ray and neutron imaging of argon bubble flow in liquid gallium or GaInSn eutectic alloy [7][8][9][10][11][12]; neutron imaging of gadolinium oxide particle flow in liquid gallium [13][14][15][16]; optical imaging of salt crystals and liquid crystal tracers in water [17,18]; neutron imaging of gadolinium particles in froth [19]; bubble flow simulations [7,8,10]. In all of these cases, the objective is to trace objects (bubbles/particles segmented beforehand) in time, reconstructing their trajectories, resolving merging and splitting events (i.e.…”