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Record W2116304184 · doi:10.1109/tpwrd.2003.820216

Coolant Flow Distribution and Pressure Loss in ONAN Transformer Windings—Part II: Optimization of Design Parameters

2004· article· en· W2116304184 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

VenueIEEE Transactions on Power Delivery · 2004
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMechanicsMass flow rateVolumetric flow rateMaterials scienceElectromagnetic coilTransformerMass flowCoolantDistribution transformerFlow (mathematics)Electrical engineeringThermodynamicsEngineeringPhysicsVoltage

Abstract

fetched live from OpenAlex

For pt.1, see ibid., vol.19, no.1, p.186-93, January 2004. The effects of total mass flow rate, flow arrangement, and geometrical parameters in ONAN transformer windings are investigated. It is found that the conventional minor losses are predominant in determining the mass flow distribution and pressure losses for the present flows. The sizes of the cooling ducts and the number of disks per pass have strong influence on both the mass flow distribution and the pressure loss. Flow arrangement in the horizontal ducts can have significant influence on the flow distribution, hence on the hot spot formation. Since the rate of heat generation increases in the vertical direction, a corresponding increase in the cooling oil flow rate vertically will optimize winding performance.

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 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: none
Teacher disagreement score0.760
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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