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Record W2992629795

Effect on noise emissions from varying distance between heat-sink fin to cooling fan blade tip

2007· article· en· W2992629795 on OpenAlexaffvenue
Colin Novak, Helen Ule, Robert Gaspar

Bibliographic record

VenueCanadian acoustics · 2007
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHeat sinkMechanical fanFinNoise (video)Passive coolingEngineeringAcousticsWater coolingMechanical engineeringThermalAutomotive engineeringComputer scienceMeteorologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

The challenge to deliver performance improvements in computer graphic cards has surpassed the ability o f finned, passive, cooling devices to dissipate the heat generated by next generation graphics processing units (GPU).The dissipation rates required by these latest GPU designs can only be delivered by more complicated thermal management systems which often require forced air cooling o f finned heat sinks.The concurrent challenge to the industry is to provide this cooling while minimizing the noise generated by these cooling fans.One o f the fundamental mechanisms for the generation o f fan noise is the dynamic force fluctuations on the fan blade and how these fluctuations interact with fixed irregularities such as adjacent cooling fins.This study investigates the effect on the acoustic emissions resulting from the variation o f the distance between the fan blade tips and the heat sink fins.A discussion and comparison of the measured results will be presented using both traditional analysis techniques as well as psychoacoustic or sound quality metrics.It was found that a minimum distance between the blade and adjacent obstructions is desired in order to minimize excessive noise levels.The minimization o f the noise emissions also had a desirable effect on the sound quality analysis. s o m m a ir eLe dfi de constamment amliorer la performance des cartes vido ont surpass la capacit d'appareils de refroidissement passif consistant d 'ailerons pour disperser la chaleur produite par les processeurs graphiques (GPU) courantes.La dissipation exige par ces GPU modernes peut tre livr seulement par les systmes de gestion thermiques plus compliqus qui exige souvent l 'utilisation du refroidissement air forc de passer des ailerons.Le dfi simultan qui presse l'industrie c'est de fournir ce refroidissement en minimisant le bruit produit par les ventilateurs utiliss.Un des mcanismes fondamentaux pour la gnration de bruit de ventilateur est la variation de forces dynamiques sur la lame du ventilateur et comment ces variations interactent avec les irrgularits fixes telles que des ailerons adjacents.Cette tude examine l 'effet sur les missions acoustiques qui rsultent de la variation de la distance entre les pointes des lames du ventilateur et les ailerons de dissipateur thermique.Une discussion et une comparaison des rsultats mesurs seront prsentes utilisant les techniques d 'analyse traditionnelles de mme que des mtrques psychoacoustique, ou de qualit du son.Il a t trouv qu'une distance minimum entre la lame et les obstructions adjacentes est dsire afin de minimiser le niveau de bruit.La minimisation des missions de bruit avait aussi un effet dsirable sur l 'analyse de la qualit du son.

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 categoriesMeta-epidemiology (narrow)
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 score0.478
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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
Published2007
Admission routes2
Has abstractyes

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