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Record W2354646488

Radial Distribution and Axial Development of Particle Velocities in a Long CFB Riser

2002· article· en· W2354646488 on OpenAlexaff
Shi Yan-fu

Bibliographic record

VenueJournal of Chemical Engineering of Chinese Universities · 2002
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsWestern University
Fundersnot available
KeywordsParticle (ecology)MechanicsParticle velocityRadial velocityCross section (physics)Circulation (fluid dynamics)Core (optical fiber)Fluidized bed combustionAccelerationMaterials sciencePhysicsThermodynamicsGeologyClassical mechanicsComposite materialFluidized bed
DOInot available

Abstract

fetched live from OpenAlex

To investigate the influence of operating conditions on particle movement and the radial distribution and axial development of particle velocity, local vertical ascending and descending particle velocities in a CFB riser of 15.1m high and 0.1m i.d. were systematically measured by an improved five-fiber optic particle velocity probe, with superficial gas velocity ranging from 3.5 to 8.2 ms-1 and solids circulation rate from 53 to 202kgm-2s-1. The experimental data obtained at 11 radial positions on 8 axial levels delineated clearly the radial distribution and the axial development of particle velocities in CFB risers. Results show that under higher superficial gas velocity and/or solids circulation rate, the effects of operating conditions on ascending and descending particle velocities in acceleration section are quite different from those in fully developed section, and the axial development of local particle velocities in core region are also different from that near the bed wall. Further, a radial non-uniformity index (RNI), proposed by Zhu and Manyele, is applied to describe quantitatively the non-uniformity in radial distribution of time mean particle velocities, which indicates that the radial non-uniformities of particle velocities increase up the riser, and correlate strongly with cross-sectional average particle velocities.

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 categoriesnone
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 score0.110
Threshold uncertainty score0.379

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 head0.166
Teacher spread0.163 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2002
Admission routes1
Has abstractyes

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