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Record W2021138960 · doi:10.1002/aic.11524

Study of downward gas jets into a liquid

2008· article· en· W2021138960 on OpenAlexaff
Ahad Emami, Cédric Briens

Bibliographic record

VenueAIChE Journal · 2008
Typearticle
Languageen
FieldEngineering
TopicNuclear Engineering Thermal-Hydraulics
Canadian institutionsWestern University
Fundersnot available
KeywordsNozzleMechanicsPenetration (warfare)DistributorSurface tensionJet (fluid)BubblePenetration depthThermodynamicsMaterials scienceChemistryPhysicsOpticsEngineering

Abstract

fetched live from OpenAlex

Abstract Gas jet penetration is an important factor in gas distributor design for two‐ and three‐phase reactors. The penetration length of downward nonreacting gas jets was measured in liquid by optical method and for gas jet velocities at subsonic conditions. The effects on jet penetration of nozzle diameter, gas density, gas jet velocity, liquid viscosity, and liquid surface tension were examined. A generalized correlation to predict the penetration depth of downward gas jets was obtained. Also a simple model, using a shell momentum balance and assuming downward gas jet as a downward cone with constant angle, was introduced and validated with experimental data. Bubble size calculated based on gas jet fluctuation frequency and validated by high‐speed videos. © 2008 American Institute of Chemical Engineers AIChE J, 2008

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.214
Teacher spread0.199 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

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