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Record W1979086418 · doi:10.1063/1.3098231

A phenomenological heat transfer model for the molecular gas lubrication system in hard disk drives

2009· article· en· W1979086418 on OpenAlexfundno aff
Chen Du, Nan Liu, David B. Bogy

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsnot available
FundersRyerson University
KeywordsThermal conductionMechanicsHeat transferHeat fluxCouette flowHagen–Poiseuille equationDissipationLubricationBoltzmann equationThermodynamicsMaterials sciencePhysicsFlow (mathematics)

Abstract

fetched live from OpenAlex

A reliable model of the heat transfer at the air bearing surface of a flying head slider is important for treating thermomechanical aspects of the molecular gas lubrication system in today’s hard disk drives. This article proposes a new model for heat transfer in the head disk interface, which considers both the heat conduction and viscous dissipation. The conduction heat flux based on this model shows better agreement with the numerical results of the linearized Boltzmann equation than existing models derived from the temperature jump theory. The viscous dissipation of plane Couette flow as well as that of plane Poiseuille flow in the gas film is analyzed using the energy conservation equation instead of the linearized Boltzmann equation, which is incapable of calculating the viscous dissipation at the boundaries. The new model gives simple analytical expressions for the heat flux contributed by heat conduction and viscous dissipation, and it is applicable to numerical thermomechanical simulations of the slider’s performance.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score0.270

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 head0.016
GPT teacher head0.223
Teacher spread0.207 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

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