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Record W1970429680 · doi:10.1002/cjce.5450810339

Gas Holdup and Mass Transfer in a Three‐Phase Reversed Flow Jet Loop Slurry Reactor with Non‐Newtonian Fluids

2003· article· en· W1970429680 on OpenAlexvenueno aff
Yongxiang Li, Wei Wu, Enze Min

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2003
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
FundersMajor State Basic Research Development Program of China
KeywordsSlurryDraft tubeCarboxymethyl celluloseMass transfer coefficientMass transferJet (fluid)Newtonian fluidLoop (graph theory)Non-Newtonian fluidMaterials scienceFlow (mathematics)ChemistryPhase (matter)MechanicsAnalytical Chemistry (journal)ChromatographyComposite materialPhysicsMathematics

Abstract

fetched live from OpenAlex

Abstract Experiments were carried out to study the total gas holdup and mass transfer coefficient in a three‐phase reversed flow jet loop slurry reactor, with air, carboxymethyl cellulose (CMC) aqueous solution and resin as gas, liquid, and solid phases respectively. The distinct feature of this study is that the liquid employed was non‐Newtonian. The influences of reactor geometry, solid holdup, and operation parameters were studied and the optimum values of draft tube to reactor diameter ratio, solid holdup, and distance between the lower edge of the draft tube and the bottom plate, were found to be 0.45, 0.03 and 0.08 m, respectively. Empirical corrections for the total gas holdup and mass transfer coefficient were developed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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 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

Citations2
Published2003
Admission routes1
Has abstractyes

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Same venueThe Canadian Journal of Chemical EngineeringSame topicFluid Dynamics and MixingFrench-language works237,207