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Record W3084018506 · doi:10.32393/csme.2020.50

Passively Enhanced Natural Convection Heat Transfer via Swirl Effect

2020· article· en· W3084018506 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Canadian Mechanical Engineering. Volume 3 · 2020
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNatural convectionHeat transferMaterials scienceConvective heat transferConvectionMechanicsPhysics

Abstract

fetched live from OpenAlex

A numerical and experimental study of the free convective heat transfer rate from a heated circular disk experiencing swirling flow has been carried out using ANSYS Fluent and a Mach Zehnder Interferometer (MZI). A horizontal, flat, isothermal disk has been subjected to radially swirling flow by the placement of stationary angled blades, or vanes, around the circumference of the disk. An examination of the flow pattern on a plane approximately normal to the primary flow revealed regions of downwash and upwash near the surface of the disk. The vortices in the secondary flow generated areas of increased and decreased surface heat flux corresponding to the regions of downwash and upwash, respectively. The RNG kepsilon turbulence model was used to obtain the disk's overall Nusselt number for 1.28x10 6 RaD 2.56x10 8 . The numerical model was used to compute and compare Nusselt numbers between vane designs of varying height, angle, length, thickness, and number. Preliminary vane design recommendations are made. Results show passive natural convection heat transfer enhancement of up to 35% via the swirl effect when compared to the model with no swirl.

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 score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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