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Record W2065662297 · doi:10.1063/1.3651959

Lattice Boltzmann Simulation of Three-Dimensional Thermomagnetic Convection in a Micro-Channel

2011· article· en· W2065662297 on OpenAlexafffund
Mahshid Hadavand, António C.M. Sousa, Jiachun Li, Song Fu

Bibliographic record

VenueAIP conference proceedings · 2011
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThermomagnetic convectionFerrofluidMagnetic fieldLattice Boltzmann methodsMechanicsHeat transferDipoleBody forceMagnetic dipoleCondensed matter physicsConvectionMagnetic energyPhysicsMaterials scienceMagnetization

Abstract

fetched live from OpenAlex

In this article the influence of a magnetic field on heat transfer is studied by using the lattice Boltzmann method for a magnetic fluid (ferrofluid) flowing through a three dimensional micro channel. This problem is of considerable interest when dealing with cooling of micro‐electronic devices. The magnitude of the magnetic force is controlled by changing the electrical current through a dipole. The results indicate that the flow is relatively uninfluenced by the magnetic field until its strength is large enough for the Kelvin body force to overcome the viscous force. It was observed that the magnetic force was able to change the flow field and increase the heat transfer in the channel.

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)0.002
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.243
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 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

Citations3
Published2011
Admission routes2
Has abstractyes

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