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Record W1200543548 · doi:10.1016/j.piutam.2015.03.035

Stability of Flow in a Channel with Drag Reducing Grooves

2015· article· en· W1200543548 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.

Bibliographic record

VenueProcedia IUTAM · 2015
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsWestern University
Fundersnot available
KeywordsLaminar flowDragMechanicsGroove (engineering)Flow (mathematics)Open-channel flowMaterials scienceChannel (broadcasting)Reynolds numberReduction (mathematics)OpticsSurface finishGeometryMathematicsPhysicsEngineeringTurbulenceComposite materialTelecommunications

Abstract

fetched live from OpenAlex

Laminar flow in a channel with longitudinal grooves is analyzed. Grooves may have an arbitrary shape but do not affect the average channel opening. It is demonstrated that there exist groove shapes that reduce the laminar drag. It is shown that the reduced geometry model based on a single Fourier mode captures the relevant flow characteristics with an acceptable accuracy. The linear stability analysis is used to determine the range of flow conditions when the flow remains laminar. The same grooves represent a certain class of surface roughness, and its effect of the critical flow conditions is of interest. It is demonstrated that the short wavelength grooves destabilize the flow while the long wavelength grooves have an opposite effect. Stability characteristics of the optimal grooves that produce the largest possible drag reduction have also been determined.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.388

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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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