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Record W3104454499 · doi:10.1002/cjce.23938

Validation of the new mechanistic scale‐up of gas‐solid fluidized beds using advanced non‐invasive measurement techniques

2020· article· en· W3104454499 on OpenAlexvenueno aff
Abdelsalam Efhaima, Muthanna H. Al‐Dahhan

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsnot available
Fundersnot available
KeywordsDimensionless quantityMechanicsTurbulenceFluidizationDynamic similarityParticle (ecology)Scale (ratio)Fluidized bedPhysicsThermodynamicsGeology

Abstract

fetched live from OpenAlex

Abstract This study focuses on the validation of a new mechanistic of scale‐up for hydrodynamics similarity of gas‐solid fluidized bed reactors that was developed in our Multiphase Reactors Engineering and Applications Laboratory (mReal). It is based on maintaining identical or relatively similar time‐averaged radial profiles of gas holdups in two differently sizes gas‐solid fluidized beds to achieve local and global similarities of the dimensionless hydrodynamic parameters. This is because the gas‐dynamic dictates the hydrodynamics of gas‐solid fluidized beds. The new scale‐up method has been successfully validated by assessing for the first time the local hydrodynamic parameters, such as time‐averaged cross‐sectional distributions and radial‐profiles of gas and solids holdups at different axial levels, which were measured by gamma‐ray computed tomography technique. In addition, the particle velocity field and turbulent parameters (shear stress, normal stresses, and turbulent kinetic energy) were measured by radioactive particle tracking technique. The experimental results showed that achieving similarity in the radial profiles of the gas holdup in the geometrically similar beds is essential for ensuring identical or relatively similar local and global hydrodynamics similarity. As the differences increase in terms of magnitude and trend in the gas holdup radial profiles between two beds, the differences increase in the detailed hydrodynamics.

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 score0.035
Threshold uncertainty score0.495

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 head0.015
GPT teacher head0.196
Teacher spread0.181 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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