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Record W3084103600 · doi:10.32393/csme.2020.59

Numerical Study of the Fluid Dynamics of a Micro Pillar Immersed in a Laminar Boundary Layer

2020· article· en· W3084103600 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

VenueProgress in Canadian Mechanical Engineering. Volume 3 · 2020
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsLaminar flowBoundary layerPillarMechanicsImmersed boundary methodLayer (electronics)Dynamics (music)Boundary (topology)Materials sciencePhysicsMechanical engineeringComposite materialEngineeringMathematicsAcousticsMathematical analysis

Abstract

fetched live from OpenAlex

The study investigates the flow development in the vicinity and wake of a micro pillar 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. It is demonstrated that the significant wall-normal gradient of streamwise velocity of the cross flow spanning the height of the micro pillar results in suppression of time-periodic shedding of vorticity from the side surfaces of the micro pillar, resulting in a steady wake flow. A pair of streamwise-oriented tip vortices and a corresponding pair of base vortices are observed to dominate the wake development. The sources of vorticity for these vortices and their relation to the vorticity in the recirculation zone immediately downstream of the micro pillar are identified. This improved understanding of flow physics is intended to inform future studies of passive control of boundary layers.

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 score0.117
Threshold uncertainty score0.997

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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