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Record W2320310068 · doi:10.2514/6.2006-3897

A Reaction Force Measurement Study of the Transition of an In-Line Vortex to Slug Flow

2006· article· en· W2320310068 on OpenAlexaff
Benjamin de Witt, Ron Hugo

Bibliographic record

Venue36th AIAA Fluid Dynamics Conference and Exhibit · 2006
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVortexSlugSlug flowMechanicsFlow (mathematics)Line (geometry)Materials sciencePhysicsGeologyTwo-phase flowMathematicsGeometry

Abstract

fetched live from OpenAlex

In this work, the transition of an in-line pipe vortex to slug ∞ow was studied. Multiphase ∞ows consisting of air and water were injected into a Slug Flow Expander (SFE), a device designed to generate slug ∞ow at regular intervals. The main objective of this research was to characterize the momentum transfer of the SFE. Pressure and acceleration of the SFE was measured, and the spectral characteristics of these ∞uctuating signals were analyzed to identify dominant frequency spikes consistent with large-scale coherent structures that included slug ∞ow generation. It was observed that at water ∞ow rates of 1.00 L/s & 1.25 L/s and air ∞ow rates above 6.00 L/s the ∞ow regime in the SFE transitioned from Falling Film to Slug Flow. The variance, or power, of pressure and acceleration was computed, and found to increase when undergoing such a transition to the slug ∞ow regime. The coherence function of pressure and acceleration ∞uctuation signals assisted in speculating the physical processes that occurred during the transition to the slug ∞ow regime.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.012
GPT teacher head0.199
Teacher spread0.188 · 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 designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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