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Record W2065281661 · doi:10.4271/2013-36-0173

Numerical Evaluation of Automotive Cooling System Pipe Geometry Impact on Thermal and Fluid Flow Characteristics

2013· article· en· W2065281661 on OpenAlexaff
Bruno Cesar Pockszevnicki, José Ricardo Sodré, Fernando Vierno Bazollio, Bernardo Oliveira Hargreaves

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2013
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsChrysler (Canada)
FundersFundação de Amparo à Pesquisa do Estado de Minas Gerais
KeywordsThermalAutomotive industryMaterials scienceFlow (mathematics)MechanicsMechanical engineeringWater coolingFluid dynamicsEngineeringPhysicsAerospace engineeringThermodynamics

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">This work evaluates the impacts on the temperature and flow fields caused by alteration on the geometry of an automotive engine cooling water pipe section. The pipe section studied is located after the water pump. The straight pipe section was altered to a curved section and it was located closer to the exhaust pipe, to attend engine downsizing demands. The analysis was carried out though the finite volume method, considering steady-state, bi-dimensional flow. The results point out that pressure drop in the conduit is little altered with geometric variations, but the temperature conditions are affected by the proximity of the duct to the heat source.</div></div>

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.259
Teacher spread0.247 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2013
Admission routes1
Has abstractyes

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