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Record W4414219706 · doi:10.3397/1/377328

New experimental and theoretical methods to model perforated plate in the presence of grazing airflow

2025· article· en· W4414219706 on OpenAlex
Xukun Feng, Zacharie Laly, Noureddine Atalla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNoise Control Engineering Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAirflowTransmission lossMufflerElectrical impedanceRange (aeronautics)Flow (mathematics)Sound transmission classAcoustic impedance

Abstract

fetched live from OpenAlex

While perforated plates are commonly used in mufflers to attenuate exhaust noise, the relationship between their design parameters, such as hole size and percentage open area, and their acoustic performance, particularly at high sound pressure levels and strong airflow conditions, is not fully understood. This study presents an experimental method to investigate how airflow affects the transfer impedance of these plates. By testing different plate designs (5% to 40% open area) and airflow conditions (0.03 to 0.15 Mach), a new theoretical impedance model to predict their acoustic performance is proposed and tested by comparing the predicted transmission loss with existing models and measured values. The proposed model showed superior accuracy in predicting transmission loss across a wide range of plate designs (5% to 40% open area), demonstrating its potential effectiveness in optimizing muffler 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.

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)0.001
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 score0.840
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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