Development and Testing of an Aeroacoustic Wind Tunnel Test Section
Bibliographic record
Abstract
A new aeroacoustic wind tunnel test section is developed and tested at Carleton University. The aeroacoustic test section is fitted with two anechoic chambers on the two side walls. Side walls of the test section are lined with acoustic transparency tensioned cloth screens, which act as an interface between the test section and the anechoic chambers to provide a smooth flow surface while eliminating the need for a jet catcher and reducing interference effects. The test section is tested in the medium speed closed-loop wind tunnel at Carleton University. The design layout of the wind tunnel and design treatments to improve acoustic performance are discussed. Experiments are conducted to verify the acoustic performance of the developed aeroacoustic wind tunnel test section. It is found that background noise is comparable with other existing aeroacoustic wind tunnel facilities. The trailing edge noise of a NACA0012 airfoil model is also measured as a benchmark test. Results reveal that noise radiated from the airfoil trailing edge model are adequately higher than the background noise for a wide frequency range, and also that a sawtooth serrated trailing edge is effective for reducing noise compared to a straight trailing edge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".