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Record W2168051217 · doi:10.1109/tpwrd.2006.871018

Oil Cooling for Disk-Type Transformer Windings—Part II: Parametric Studies of Design Parameters

2006· article· en· W2168051217 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 · 2006
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectromagnetic coilTransformerMaterials scienceHeat transferMechanicsRadiator (engine cooling)Mechanical engineeringElectrical engineeringEngineeringVoltagePhysics

Abstract

fetched live from OpenAlex

Effects of various design and operating parameters on the hot-spot temperature are analyzed in disk-type forced oil-cooled transformer windings. The results indicate that a two-dimensional thermal analysis in the disks is necessary to determine the temperature and location of the hottest spot, and that the cooling oil-flow arrangement has a significant influence on the cooling of disk windings. The maximum disk temperature for each pass is proportional to the oil entrance temperature and, therefore, the heat transfer in the radiator should be improved as much as possible. A larger total oil-flow rate through the pass can increase the cooling capacity and, hence, improve the cooling of the disks, but increases the pressure loss. Although a uniform distribution of cooling oil flow among the various horizontal cooling ducts within a pass is beneficial to decrease the hottest spot temperature, the best cooling results can be obtained when the cooling flow distribution matches the distribution of heat generation in each disk of the pass.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
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 integrity0.0000.000
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 head0.036
GPT teacher head0.247
Teacher spread0.211 · 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