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Record W2897360799 · doi:10.1063/1.5046649

The passage of bubbles rising through a confining rectangular geometry

2018· article· en· W2897360799 on OpenAlexafffund
Hirad Soltani, Reza Sabbagh, David S. Nobes

Bibliographic record

VenuePhysics of Fluids · 2018
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of Alberta
FundersRGL Reservoir ManagementCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsBubblePhysicsTerminal velocityBuoyancyMechanicsDragGeometryParticle image velocimetryFlow velocityFlow (mathematics)Classical mechanics

Abstract

fetched live from OpenAlex

Rising bubble systems are used and investigated in a wide variety of industrial applications. However, the influence of strong confinement in rectangular flow regions has received little attention. An experimental study is undertaken here on a flow channel that allows the passage of bubbles from a region that can be modelled as two parallel plates into a region of rectangular confinement. The effect of a co-flow of a water/glycerol mixture on bubble size and rising velocity in the two confined regions for a wide variety of size ranges is investigated using particle shadow velocimetry. In the parallel plate region, as bubbles become larger in size, their terminal velocity increases due to the relatively higher buoyancy force and negligible effects of the confining geometry, compared to smaller bubble sizes. On entering the rectangular confinement, however, bubbles of relatively large size decelerate to a much lower terminal velocity due to the drag force expressed by the confining walls. Available models in the literature for predicting bubble terminal velocity through circular tubes and parallel plates were evaluated and showed poor predictive performance. To address this gap, a semi-empirical model for the bubble terminal velocity in a rectangular geometry is developed, based on the experimental data, to predict this motion. This model includes the effect of bubble size, fluid medium properties, net co-flow, and confinement geometry. The curious phenomenon of the threshold size of a bubble, which maintains a constant velocity through both geometries, is then predicted using the model.

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 score0.262
Threshold uncertainty score0.374

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Citations21
Published2018
Admission routes2
Has abstractyes

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