Using positron emission tomography (PET) to determine liquid content in overflowing foam

Cole, Katie; Brito-Parada, Pablo R.; Morrison, Angus J.; Govender, I.; Buffler, Andy; Hadler, K.; Cilliers, J.J.

doi:10.1016/j.cherd.2014.10.014

Cited by 12 publications

(11 citation statements)

References 21 publications

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“…each voxel (r, θ, z) had a distribution of vertical, radial and azimuthal velocities. Recent research in flotation using PEPT has shown bimodal and long tailed particle velocity distributions near the impeller, possibly due to noise in the PEPT meas-urement (Cole et al, 2015). Analysis of the data obtained in this work also evidenced voxels with bimodal and long tailed velocity distributions in Voxel-by-voxel statistical analysis of the velocity distributions was implemented to compare different designs.…”

Section: Pept Data Analysismentioning

confidence: 73%

See 1 more Smart Citation

Hydrodynamic characterisation of flotation impeller designs using Positron Emission Particle Tracking (PEPT)

Mesa

Cole

Heerden

et al. 2021

Separation and Purification Technology

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Section: Pept Data Analysismentioning

confidence: 73%

“…The Hydrophobic 510 tracer coating uses the same epoxy resin as the hydrophilic tracer with the exception of an additional coating layer of silanized ballotini. A similar procedure is further detailed in Cole et al (2015).…”

mentioning

confidence: 99%

Hydrodynamic characterisation of flotation impeller designs using Positron Emission Particle Tracking (PEPT)

Mesa

Cole

Heerden

et al. 2021

Separation and Purification Technology

View full text Add to dashboard Cite

“…Goodall et al use radioactively marked particles to track their movement in the froth by Geiger counters. Waters et al and Cole et al use radioactively marked particles inside a positron emission tomograph (PET) to track their movement from the pulp through the froth to the extract or back to the flotation cell. However, both techniques rely on tracking of individual or small numbers of particles, which does not allow for measuring the instantaneous, three‐dimensional distribution and movement of particles.…”

Section: Introductionmentioning

confidence: 66%

Tracking of Particles in Froth Using Neutron Imaging

Heitkam

Lappan

Eckert

et al. 2019

Chemie Ingenieur Technik

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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.

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“…Bardyshev et al [6] used the positron annihilation probe method to identify the presence of DEL on the internal interface of the material and estimate its energy parameters, thus correctly reflecting the contribution of the electrostatic component to the interaction between the phases and completing the double charge of the metal-polymer contact area for non-destructive testing. Cole et al [7] applied positron annihilation technology to the problem of liquid distribution and content measurement in the foam flotation process. The results show that the 3D structure of the foam could be effectively measured.…”

Section: Introductionmentioning

confidence: 99%

Outline Feature Extraction of Positron Image Based on a 3D Anisotropic Convolution Operator

et al. 2020

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This study investigates the application of positron annihilation techniques to the interior of dense metal cavities for Three-dimensional (3D) imaging and extraction of contour features inside the cavities. A feature extraction algorithm based on a 3D anisotropic convolutional operator is proposed for profile feature extraction in low-resolution, lowcontrast, and low-signal-to-noise positron image. First, aiming at the problem of positron image noise caused by inconsistent detectors and metal scattering effects, an image preprocessing algorithm combining filtering and full pixel correction is proposed. A 3D anisotropic convolution operator is then designed to extract contour features. To solve the contour feature discontinuity in the extracted contour feature, a 3D path search algorithm is proposed to obtain the centroid coordinate set of the contour feature, and then the centroid coordinate set is subjected to 3D curve fitting to obtain a smooth and continuous contour feature. The study is carried out on the raw 16-bit Digital Imaging and Communications in Medicine (DICOM) data of the positron image, and the data are processed from a 3D perspective, taking full advantage of the correlation between slices in the 3D positron image. In the actual testing, positron images with different kinds of foreign objects in the cavity are extracted using a 3D anisotropic convolution operator, and the contour feature extraction resolution reaches 2 mm.

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Using positron emission tomography (PET) to determine liquid content in overflowing foam

Cited by 12 publications

References 21 publications

Hydrodynamic characterisation of flotation impeller designs using Positron Emission Particle Tracking (PEPT)

Hydrodynamic characterisation of flotation impeller designs using Positron Emission Particle Tracking (PEPT)

Tracking of Particles in Froth Using Neutron Imaging

Outline Feature Extraction of Positron Image Based on a 3D Anisotropic Convolution Operator

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