Solid motion in a three-phase bubble column examined with Radioactive Particle Tracking

Salierno, Gabriel; Maestri, Mauricio; Piovano, S; Cassanello, Miryan; Cardona, M. A.; Hojman, D.; Somacal, H.

doi:10.1016/j.flowmeasinst.2017.10.002

Cited by 10 publications

(20 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 5 shows the asymptotic entropy values ∞ for each operative condition, determined from different starting points. Granularity values between 20 and 60 in the axial direction and 3 to 8 in the radial direction provide similar values of Ω ∞ [12], only dependent upon the operational. There is an increment of ∞ values when fluid velocity increases.…”

Section: 1-mixing Times and Entropy Productionmentioning

confidence: 85%

“…The LSFB shows a smooth trend with a maximum of about 0.1 m. On the other hand, the GLSFB shows a sharp break at 0.15 m, and longer times are necessary to attain mixing when the manifold starts closer to the bottom [12], plausibly related to circulation patterns that trap the tracer and delay the relaxation of the probability simplex. Despite that the fluid Reynolds number is quite higher in the case of the LSFB system ( ∈…”

Section: 1-mixing Times and Entropy Productionmentioning

confidence: 96%

“…Experiments are carried out in an acrylic column (1.2 m height, 0.1 m inner diameter) surrounded by an array of 16 NaI(Tl) 2" scintillation detectors (Figure 1). -Gas-Liquid-Solid Fluidized bed (GLSFB), where the liquid and the particulate phase are in batch mode while gas flows upward [12].…”

Section: -The Radioactive Particle Tracking Techniquementioning

confidence: 99%

“…On the other hand, in the last decades, experimental methods have been developed to determine trajectories of particles in free movement within multiphase equipment. The Radioactive Particle Tracking (RPT) technique involves determining the trajectory of a single radioactive tracer representing the solid particles of the system, providing comprehensive information on multiphase flows [11][12][13][14][15] Shannon (or information) entropy is a statistic that estimates the homogeneity of a probability distribution which can be used as a mixing index [16,17]. The Shannon entropy is a property of any probability distribution, {p i }, i ∈ (1; … ; N) where N is the number of bins into which the valid range of the distribution is divided.…”

Section: Introductionmentioning

confidence: 99%

“…In the context of RPT, the valid range of the probability distribution will be enclosed within the space that the tracer trajectory reaches, and the bins will result from the granularity with which that space is divided. The Shannon entropy is useful to quantify the mixing of solid particles in suspension or liquid elements from RPT data [12].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Comparison of the Fluidized State Stability From Radioactive Particle Tracking Results Applied

Salierno¹,

Gradišek²,

Maestri³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Currently, various industrial processes are carried out in fluidized bed reactors, such as fermentation, water treatment, and algae growth. Knowing its internal dynamics is fundamental for the intensification of these processes. This work assesses the motion of fluidized calcium alginate spheres under the influence of an upward fluid flow within a 1.2 m high and 0.1 m inner diameter acrylic column. The Radioactive Particle Tracking technique is a proper methodology to study the internal dynamics of these kinds of equipment. Liquid-Solid Fluidized Bed is compared with the Gas-Liquid-Solid Fluidized Bed operation mode in terms of mixing behavior. Data gathered is analyzed in view of Shannon entropy as a dynamic mixing measure. Mixing times are found to be of the same order of magnitude. However, the Liquid-Solid Fluidized Bed achieves a lower homogenization degree. Also, we found good agreement between two criteria for assessing stability for the mixed state: the Shannon Entropy time-series plateau and the Glansdorff-Prigogine criterion based on Fisher information.

show abstract

Section: 1-mixing Times and Entropy Productionmentioning

confidence: 85%

Section: 1-mixing Times and Entropy Productionmentioning

confidence: 96%

Section: -The Radioactive Particle Tracking Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparison of the Fluidized State Stability From Radioactive Particle Tracking Results Applied

Salierno¹,

Gradišek²,

Maestri³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Behaviour of agglomerates formed by liquid injection in fluidized beds

et al. 2021

View full text Add to dashboard Cite

Formation of agglomerates in fluidized beds can cause operating problems, such as excessive stripper shed fouling, which can lead to premature unit shut down. The focus of this study is to reach a better understanding of how agglomerates move through a fluidized bed to improve the Fluid Cokers and minimize the risk of agglomerates reaching regions where they cause problems. Two experimental methods were used: first, a Gum Arabic binder solution was injected into a two-dimensional (2D) fluidized bed under conditions that simulate agglomerate formation in Fluid Cokers, and the mass and density of recovered agglomerates were measured; second, a new 2D radioactive particle tracking (RPT) method was developed to track the motion of model agglomerates. The fluidized bed had a steel wall, resulting in significant and non-uniform radiation absorption. The 2D RPT system was, thus, calibrated by placing the source at 290 locations in the bed, for each fluidization velocity. Since bubble flow patterns greatly affect agglomerate motion and segregation, a tribo-electric method was used to determine bubble flow distribution in the fluidized bed. The RPT and liquid injection methods gave similar vertical distributions of agglomerates. The main results were that increasing the fluidization velocity reduced segregation, and larger agglomerates were more likely to segregate. There was a strong correlation between the bubbles and agglomerates flow patterns: establishing an asymmetric flow pattern by injecting more fluidization gas in one side of the bed greatly reduced agglomerate segregation.

show abstract

GIPPE-RPT: Geant4 interface for particle physics experiments applied to Radioactive Particle Tracking

Lindner

Mišković

2022

Applied Radiation and Isotopes

View full text Add to dashboard Cite

Solid motion in a three-phase bubble column examined with Radioactive Particle Tracking

Cited by 10 publications

References 32 publications

Comparison of the Fluidized State Stability From Radioactive Particle Tracking Results Applied

Comparison of the Fluidized State Stability From Radioactive Particle Tracking Results Applied

Behaviour of agglomerates formed by liquid injection in fluidized beds

GIPPE-RPT: Geant4 interface for particle physics experiments applied to Radioactive Particle Tracking

Contact Info

Product

Resources

About