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Record W2100978087 · doi:10.1002/cjce.21865

Prediction of minimum spouting velocity of spouted bed by CFD‐TFM: Scale‐up

2013· article· en· W2100978087 on OpenAlexaffvenue
Wenqi Zhong, Xuejiao Liu, John R. Grace, Norman Epstein, Bing Ren, Baosheng Jin

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMechanicsInletComputational fluid dynamicsMaterials scienceCFD-DEMParticle (ecology)Length scaleScale (ratio)Particle densityThermodynamicsGeologyPhysicsGeomorphology

Abstract

fetched live from OpenAlex

Abstract Numerical simulations based on a three‐dimensional (3D) Eulerian–Eulerian multiphase model (two‐fluid model, TFM) were carried out to study the minimum spouting velocities of scaled up spouted beds. The spouted bed with a diameter of 0.152 m from the experiments of He et al. was scaled up by factors from 2 to 8, resulting in diameters from 0.304 to 1.216 m. The effects of the static bed height, particle diameter, particle density and fluid inlet diameter on the minimum spouting velocity in different size beds were numerically investigated. A new empirical correlation is proposed for predicting the minimum spouting velocity in both small and large beds.

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 score0.083
Threshold uncertainty score0.508

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 head0.006
GPT teacher head0.155
Teacher spread0.149 · 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

Citations15
Published2013
Admission routes2
Has abstractyes

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