MétaCan
Menu
Back to cohort
Record W4360895815 · doi:10.1299/jsmemecj.2022.j102-04

Measurement of acoustic resistance of resonator orifice influenced by grazing flow, sound pressure and orifice corners' shape

2022· article· en· W4360895815 on OpenAlex

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

VenueThe Proceedings of Mechanical Engineering Congress Japan · 2022
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsBody orificeStrouhal numberAcousticsSound pressureDuct (anatomy)Vortex sheddingResonatorMaterials scienceFlow velocityParticle velocityPhysicsOpticsFlow (mathematics)MechanicsEngineeringAnatomyReynolds number

Abstract

fetched live from OpenAlex

Acoustic resistance of the rectangular orifice of a resonator attached on a duct was measured. Four types of resonator orifices with different corner shapes were used. To express acoustic resistance as a linear sum of bias flow velocity, grazing flow velocity, and particle velocity in the neck of the resonator, we classified the measured resistance data in two regions dominated by sound pressure and grazing flow velocity, respectively. The acoustic resistance is approximated by the larger value of the linear sum in good agreement with experimental results. The dependence of the acoustic resistance on the Strouhal number was also examined. The variation in acoustic resistance due to vortex shedding at similar orifice corner shape shown by Moers was clearly reproduced.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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