MétaCan
Menu
Back to cohort

CONVECTIVE HEAT TRANSFER OVER A FLAT PLATE IN THE WAKE OF A TURBULENCE GENERATOR

2016· article· en· W2547534120 on OpenAlexaff
Iman Arianmehr, David S.‐K. Ting, Samir Chandra Ray

Bibliographic record

VenueHeat Transfer Research · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTurbulenceAnemometerMechanicsWakeNusselt numberWind tunnelHeat transferTurbulence kinetic energyHeat fluxLeading edgePhysicsMaterials scienceReynolds number

Abstract

fetched live from OpenAlex

An experimental investigation was carried out to study the heat transfer and turbulent flow over a flat plate in a wind tunnel. The turbulence was generated by a turbulence generator with a finite height mounted perpendicular to and on the leading edge of the flat plate. Instantaneous velocity measurements were performed with a 1D hot-wire anemometer to investigate the behavior of the flow a short distance downstream of the perforated plate. Temperature distribution and heat flux along the centerline of the plate with and without the perforated plate at the leading edge were measured. The results showed that significant wind blockage limited the turbulence generator (TG) to be effective in lowering the flat plate temperature to within a short distance downstream. Detailed flow measurements revealed that the orifice perforated plate that generated flow turbulence is superior in augmenting the Nusselt number. To realize its full potential, however, the drastic blockage caused by the current turbulence generator design needs to be mitigated.

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)0.001
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 score0.064
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.046
GPT teacher head0.310
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueHeat Transfer ResearchSame topicAdvanced Power Generation TechnologiesFrench-language works237,207