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Record W1563463165

Industrial application of simplesilence technology: Evaporator fan noise control

2012· article· en· W1563463165 on OpenAlexaffvenue
Anthony Gérard, Michel Pearson

Bibliographic record

VenueCanadian acoustics · 2012
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsSoft dB (Canada)
Fundersnot available
KeywordsHarmonicsAcousticsNoise (video)Noise controlEvaporatorAerodynamicsEngineeringFlow control (data)NarrowbandNoise reductionPhysicsElectrical engineeringMechanical engineeringAerospace engineeringElectronic engineeringComputer scienceTelecommunicationsVoltage
DOInot available

Abstract

fetched live from OpenAlex

Tonal noise control from evaporator fans used for cooling a cold storage room is described. The low frequency tone at blade passage frequency can result in environmental noise penalty in the residential area near the cold storage room. Tonal noise originates from non-uniform flow that causes circumferential varying blade forces and gives rise to considerably larger radiated dipolar sound at the BPF and its harmonics. For the evaporator studied in this paper, the primary non uniform flow mainly came from the motor struts and the ice accretion in the upstream flow field of the fan. The obstruction probably controlled these instabilities so that the narrowband peak and low frequency broadband noise were decreased. CFD simulations could give more insight in the flow topology without and with the obstruction.

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 score0.825
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.227
Teacher spread0.212 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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