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Record W2088556716 · doi:10.2202/1542-6580.1144

A Local Model for Gas-Liquid Mass Transfer in a Gas-Liquid-Solid Circulating Fluidized Bed

2004· article· en· W2088556716 on OpenAlexaff
Zhengliang Liu, Ying Zheng

Bibliographic record

VenueInternational Journal of Chemical Reactor Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsUniversity of FrederictonUniversity of New Brunswick
Fundersnot available
KeywordsMass transferDispersion (optics)Mass transfer coefficientMechanicsWork (physics)Particle (ecology)Flow (mathematics)ChemistryMaterials scienceThermodynamicsChromatographyPhysicsOptics

Abstract

fetched live from OpenAlex

A local mass transfer model which details the local gas-liquid mass transfer phenomenon in a gas-liquid-solid circulating fluidized bed (GLSCFB) is discussed and tested in this work. It is observed that the local mass transfer model with consideration of the axial liquid dispersion can appropriately address the gas-liquid mass transfer at every radial position in the riser; however, that without consideration of the axial liquid dispersion can only deal with the mass transfer near the wall where the axial liquid dispersion is negligible. The effects of gas flow rates, liquid velocities, particle circulating rates, and particle sizes on gas-liquid mass transfer in GLSCFBs have also been examined systematically. Based on the experimental data, a correlation is obtained to predict the gas-liquid mass transfer coefficients in GLSCFBs for the first time.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.234
Teacher spread0.223 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations3
Published2004
Admission routes1
Has abstractyes

Explore more

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