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Record W2055008893 · doi:10.1080/10407782.2013.742738

Numerical Analysis of Laminar Forced Convection in Corrugated-Plate Channels with Sinusoidal, Ellipse, and Rounded-vee Wall Shapes

2013· article· en· W2055008893 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

VenueNumerical Heat Transfer Part A Applications · 2013
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNusselt numberReynolds numberPrandtl numberLaminar flowMechanicsHeat transferEllipseForced convectionMaterials scienceConvectionConvective heat transferGeometryPhysicsMathematicsTurbulence

Abstract

fetched live from OpenAlex

Steady, two-dimensional, developing laminar forced convection is computed in channels of ten modules of three out-of-phase (symmetric) wall corrugations: sinusoidal-wavy-shaped (SWS), rounded-ellipse-shaped (RES), and rounded-vee-shaped (RVS). Different geometric configurations of the three shapes are studied. Fluid flow and heat transfer are examined in a typical module in the fully-developed region for Reynolds numbers in the range of 25 to 300 for a Prandtl number of 2.29. Over the ranges of the geometric parameters studied, the SWS corrugation has, in general, the lowest friction factor and highest average Nusselt number values. The RES corrugation has the highest heat transfer per unit pumping power at an inlet Reynolds number of 300.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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