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Record W2017686989 · doi:10.1615/atomizspr.v19.i6.20

LIQUID JET BREAKUP IN QUIESCENT ATMOSPHERE: A REVIEW

2009· review· en· W2017686989 on OpenAlexaff
Madjid Birouk, Nebojša Lekić

Bibliographic record

VenueAtomization and Sprays · 2009
Typereview
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBreakupNozzleTurbulenceMechanicsJet (fluid)ConfusionCavitationPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Breakup of liquid jets issuing from converging (cone-up type) nozzles in a quiescent atmosphere is reviewed in the present paper. This review reveals that, in fact, very little is known about the influence of various factors on the disintegration of the jet. General disregard of nozzle geometry and internal flow in the classic literature are the main reasons for the presence of confusion, and the lack of a coherent body of information on the subject. Characteristics of jet breakup depend on a variety of factors such as turbulence, velocity profiles, nozzle geometry, and the physical states of the liquid and gas. Disintegration mechanisms are characterized by dominance of one or more of the aforementioned factors. While the general process of jet breakup, turbulence, and ambient effects are fairly well comprehended, the effects (and the interplay) of various other parameters are poorly understood. In particular, the recent literature suggests that nozzle geometry, internal flow, and cavitation play a profound role in the breakup.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.260
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations106
Published2009
Admission routes1
Has abstractyes

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