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Record W2136047278 · doi:10.5539/mer.v3n2p13

Numerical Investigation of Heat Transfer and Fluid Flow Characteristics inside Wavy Channels Fully Filled with Porous Media

2013· article· en· W2136047278 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMechanical Engineering Research · 2013
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsnot available
FundersUniversity of Mosul
KeywordsWavinessNusselt numberHeat transferPorous mediumMechanicsMaterials scienceDuct (anatomy)PlanarConvective heat transferFluid dynamicsThermodynamicsPorosityReynolds numberPhysicsTurbulenceComposite materialComputer science

Abstract

fetched live from OpenAlex

The combined effect of waviness and porous media on the convection heat transfer and fluid flow characteristics is numerically investigated. Two models of wavy walled channel fully filled with homogenous porous material are assumed. The first was the symmetric converging-diverging channel (case A), and the second was the channel with concave-convex walls (case B). The governing equations have been solved on non-orthogonal grid, which is generated by Poisson elliptic equations, based on ADI method. Nusselt number values are used to indicate whether any cases of corrugation studied may have led to an increase in the rate of heat transferred compared with the planar surface channel which is the purpose of the study. The results show that case A gives more enhancement in heat transfer than case B. However, the thermal performance of the wavy channels (cases A & B) is better than the straight channel (simple duct).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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