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Record W2017245924 · doi:10.1088/0957-0233/19/6/065405

Experimental investigation of the formation of acoustic streaming in a rectangular enclosure using a synchronized PIV technique

2008· article· en· W2017245924 on OpenAlexafffund
Majid Nabavi, Muhammad Haroon Siddiqui, Javad Dargahi

Bibliographic record

VenueMeasurement Science and Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAcoustic streamingParticle image velocimetryAcousticsReynolds numberEnclosureParticle tracking velocimetryDisplacement (psychology)MechanicsVelocimetryFlow (mathematics)OpticsPhysicsMaterials scienceComputer scienceTurbulenceTelecommunicationsUltrasonic sensor

Abstract

fetched live from OpenAlex

The formation process of acoustic streaming generated in an air-filled rigid-walled square channel subjected to acoustic standing waves of different frequencies and intensities is investigated experimentally. The walls of the resonator are maintained at isothermal boundary condition. The synchronized particle image velocimetry (PIV) technique has been used to measure the streaming velocity fields. The results show that the formation of classical streaming patterns depends on the frequency and vibrational displacement of the acoustic driver. It is found that to generate the classical streaming flow patterns, the streaming Reynolds number ( Re s 1 = u 2 max /νω) should be greater than 7.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2008
Admission routes2
Has abstractyes

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