MétaCan
Menu
Back to cohort
Record W3199029236 · doi:10.32393/csme.2021.109

Flow Over Micro Pillars Immersed In A Laminar Boundary Layer: Effects Of Micro-Pillar Geometry And Tandem Interaction

2021· article· en· W3199029236 on OpenAlex
M. I. Yaras, Cagri Metin

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

VenueProgress in Canadian Mechanical Engineering. Volume 4 · 2021
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsLaminar flowBoundary layerPillarMechanicsGeometryFlow (mathematics)Materials scienceTandemImmersed boundary methodBoundary (topology)Mechanical engineeringPhysicsComposite materialEngineeringMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

The study investigates the flow development in the vicinity and wake of micro pillars mounted on a surface immersed in the inner region of a laminar boundary layer. The investigation is based on the numerical solution of the Navier Stokes equations for incompressible conditions. The height of the micro pillar is shown to significantly affect the tip and base vortices dominating the micro-pillar wake, with this effect extending up to 16 micro-pillar diameters downstream. Tandem installation of two micro pillars with a height-todiameter ratio of 4.0 eight micro-pillar diameters apart is shown to result in relatively weak aerodynamic interaction of the two micro pillars, with the wake of each micro pillar containing dominant vortical structures of comparable strength.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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