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Record W2801858655 · doi:10.1139/tcsme-2000-0027

FORCED CONVECTION EXPERIMENTS ON SLOTTED TRANSPIRED PLATES

2000· article· en· W2801858655 on OpenAlexaffvenue
Ali Akbar Golneshan, K.G.T. Hollands

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2000
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDimensionless quantitySuctionMechanicsReynolds numberMaterials scienceThermalWind speedThermal conductivityRange (aeronautics)PhysicsThermal windThermodynamicsMeteorologyWind profile power lawComposite materialTurbulence

Abstract

fetched live from OpenAlex

Experiments were conducted to measure the thermal effectiveness of perforated transpired plates in a grazing wind. The experiments were motivated by the need to model a novel solar collector design. The perforations in the plate took the form of narrow slots that were perpendicular to the wind direction. The measurements were performed in the asymptotic region, where the thermal and hydrodynamics boundary layers assume a periodic behaviour. Four plates made from different materials and having different geometries were tested, using air as the fluid. The range of parameters for the experiments were as follows: wind speed from 1 to 8 m/s, superficial suction velocity from 0.04 to 0.08 m/s, slot spacing from 15 to 25 mm, slot width from 0.18 to 0.25 mm, plate thickness from 0.8 to 1.5 mm, and plate thermal conductivity from 0.2 to 15 W/Km. The results for a given plate were correlated tightly by a single dimensionless flow parameter, γ, a product of a Reynolds number and a velocity ratio (suction to wind velocity) that has arisen from of an integral momentum analysis. Thermal effectiveness results were correlated to dimensionless parameters. Excellent agreement, with an rms error of 1.8%, was obtained.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.012
GPT teacher head0.198
Teacher spread0.186 · 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 designSimulation or modeling
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

Citations7
Published2000
Admission routes2
Has abstractyes

Explore more

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