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Record W2071916147 · doi:10.1080/10407780701454238

Turbulent Mixed-Convection Cooling of Stacked Heat-Generating Bodies in a Three-Dimensional Domain

2007· article· en· W2071916147 on OpenAlexaffabout
J.R. Berg, H.M. Soliman, Scott J. Ormiston

Bibliographic record

VenueNumerical Heat Transfer Part A Applications · 2007
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInletTurbulenceJet (fluid)Natural convectionMechanicsCombined forced and natural convectionForced convectionCooling towerMaterials scienceMechanical engineeringHeat transferPhysicsEngineering

Abstract

fetched live from OpenAlex

A numerical study has been conducted to investigate turbulent mixed-convection air cooling of vertical stacks of heat-generating blocks in a three-dimensional domain simulating a valve hall in a DC/AC converter station. The simulation results include detailed streamline plots of the flow structure, iso-volume plots of the temperature, the magnitude of the net flow in all tower gaps and the maximum temperature in each gap. A parametric study was conducted to explore the effects of geometry and inlet parameters on the cooling effectiveness. These results demonstrate that significant enhancements in the cooling effectiveness can be achieved by simple modifications of the angle of injection of the inlet air jet, the area of the inlet air jet, or the inlet air mass flow rate.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2007
Admission routes2
Has abstractyes

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