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Record W2110244476 · doi:10.1002/aic.10380

New description of fluidization regimes

2005· article· en· W2110244476 on OpenAlexaff
R. Andreux, T. Gauthier, Jamal Chaouki, Olivier Simonin

Bibliographic record

VenueAIChE Journal · 2005
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsFluidizationTurbulenceBubbleMechanicsPressure dropThermodynamicsPhysicsFluidized bed

Abstract

fetched live from OpenAlex

Abstract Two pressure probes and an intrusive bioptical probe provide experimental data in the bubbling and turbulent regimes to improve our understanding of the transition from the bubbling regime to the fast fluidization regime. Assessment of pressure, voidage, and bubbling properties allows for a new description of turbulent fluidization hydrodynamics. Appreciable changes in the hydrodynamics appear well below the transition criterion Uc, determined based on pressure fluctuations: bubbles are fast bubbles below Uc, in bubble–emulsion equilibrium state at Uc, and then become slow bubbles for higher fluidizing velocity; the maximum of the total fluidizing gas fraction in the bubble phase is reached below Uc and never exceeds 75–80%. The fluidizing velocity at which major modifications in hydrodynamics are observed is lower than Uc. This critical velocity is detected with pressure drop assessment or frequency analysis of voidage fluctuations. Moreover, it can be theoretically calculated from the two‐phase modeling correlations supplemented with a new criterion deduced from our experiments. © 2005 American Institute of Chemical Engineers AIChE J, 2005

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2005
Admission routes1
Has abstractyes

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