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Flujo de fluido MHD a través de un medio poroso de permeabilidad periódica

2022· article· es· W4293794912 on OpenAlexaff
Roberto Silva, M.H Hamdan, Robinson Vladimir Montesdeoca Erazo, FIDEL CHUCHUCA, Karla Angélica Benítez Escobar

Bibliographic record

VenueCiencia Unemi · 2022
Typearticle
Languagees
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Se ha considerado el flujo totalmente desarrollado de un fluido magneto-reológico a través de un medio poroso no isotrópico delimitado por placas paralelas bajo el efecto de un campo magnético externo. La permeabilidad se toma como una función periódica de la dirección transversal al flujo. La ecuación Darcy-Brinkman-Lapwood-Lorentz para el flujo de fluidos en medios porosos se ha utilizado y resuelto en condiciones de frontera no deslizante por el método de series de potencia y los resultados han sido validados por el método numérico del disparo. Por último, el análisis de los resultados se hace sobre la influencia en la velocidad, flujo volumétrico y el esfuerzo de deformación del fluido en la pared teniendo en cuenta la relación de viscosidad efectiva de Ochoa-Tapia y Whitaker.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.204
Teacher spread0.199 · 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 designBench or experimental
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

Citations0
Published2022
Admission routes1
Has abstractyes

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