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Record W2040748485 · doi:10.1002/cjce.5450830118

Phase Distribution in a High Pressure Slurry Bubble Column via a Single Source Computed Tomography

2008· article· en· W2040748485 on OpenAlex
Novica Rados, Ashfaq Shaikh, Muthanna H. Al‐Dahhan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
FundersU.S. Department of Energy
KeywordsSlurryMaterials scienceBubblePitot tubePhysicsMechanicsComposite materialFlow (mathematics)

Abstract

fetched live from OpenAlex

Due to their numerous advantages, Slurry Bubble Column Reactors (SBCR) are gaining wide importance in the petroleum, petrochemical, chemical, and biochemical industries. Most previous literature studies on the fluid dynamics and the phase holdup distribution in SBCR are limited to low superficial gas velocity, low solids loading, and the atmospheric pressure. Moreover, the presence of a solids phase poses difficulties in probe measurement techniques such as pitot tube and optical probe and see through measurement techniques such as particle image velocimetry (PIV), Laser Doppler Velocimetry (LDV). Single source γ-ray Computed Tomography (CT) has been used to measure cross-sectional phase holdup distribution in two-phase systems. In the present study, a new methodology has been developed that combines a single source CT with overall gas holdup measurement, along with valid assumptions, to measure the cross-sectional holdup distribution of the three phases in a slurry bubble column. The implementation of developed methodology has been demonstrated using air-water-glass beads (150 µm) at selected conditions of superficial gas velocity and operating pressure. En raison de leurs nombreux avantages, les réacteurs à colonnes à bulles et à suspensions (SBCR) prennent énormément d'importance dans les industries pétrolière, pétrochimique et biochimique. La plupart des études antérieures de la littérature scientifique sur la dynamique des fluides et la distribution de rétention de phase dans les SBCR se limitent à une faible vitesse de gaz superficielle et un faible chargement de solides à la pression atmosphérique. En outre, la présence d'une phase solide pose des difficultés dans les techniques de mesure par sondes, telles que les techniques par tubes pilotes ou par sondes optiques, ou encore les techniques « visuelles » comme la vélocimétrie par imagerie des particules (PIV) ou la vélocimétrie par laser doppler (LDV). On a eu recours à la tomographie numérique à rayons γ à source unique (CT) afin de mesurer la distribution de rétention de phase en coupe dans les systèmes diphasiques. Dans la présente étude, une nouvelle méthodologie a été mise au point qui combine la technique CT et des mesures de rétention de gaz globale, ainsi que des hypothèses valides, dans le but de mesurer la distribution de rétention transversale des trois phases dans une colonne à bulles et à suspensions. La mise en œuvre de la méthodologie développée est démontrée à l'aide de billes d'air-eau-verre (150 µm) pour des conditions sélectionnées de vitesse de gaz superficielle et de pression opératoire.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.156
Teacher spread0.152 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it