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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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.835

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 head0.043
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 teacher head, 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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