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Record W2326251392 · doi:10.14356/kona.2006006

Use of Particle Tracking Velocimetry for Measurements of Granular Flows: Review and Application

2006· article· en· W2326251392 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueKONA Powder and Particle Journal · 2006
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsMcGill University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsParticle tracking velocimetryParticle image velocimetryVelocimetryGranular materialWedge (geometry)MechanicsParticle (ecology)Tracking (education)Materials scienceContext (archaeology)OpticsPhysicsGeologyTurbulenceComposite material

Abstract

fetched live from OpenAlex

A brief review of publications that deal with particle image velocimetry (PIV) and particle tracking velocimetry (PTV) is presented first in this paper. It is followed by a brief review of papers that discuss the applications of PIV and PTV to granular flows. Next, the application of PTV to granular flows is demonstrated in the context of an experimental investigation of free-surface flows of almost spherical, slightly polydisperse, ceramic particles immersed in air. Flows of this granular material down the upper inclined surface of a wedge-shaped static pile of the same material, formed naturally and contained in a narrow channel between two parallel vertical glass plates are considered. Some sample results obtained from PTV measurements of these flows in the statistically steady and fully developed region are presented.

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.

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 score0.046
Threshold uncertainty score0.292

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 head0.039
GPT teacher head0.254
Teacher spread0.214 · 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