Aeroacoustics of a Low-Speed Free Tip Fan With a Complex Clearance Geometry
Bibliographic record
Abstract
The influence of tip leakage flow on the performance of turbomachinery, both from an aerodynamic and acoustic point of view, has been demonstrated by several authors. However, most studies present in the literature are focused on the effects of tip leakage from an aerodynamic point of view and often forgo the mechanisms associated with the acoustics effect. The effect of different tip geometries is also still ill understood. The current advancement of a numerical study delving into tip leakage flow noise in low-speed turbomachinery applications is presented in this paper. The study as a whole aims to investigate the mechanisms associated with tip leakage flow noise on different axial fans with varying tip configurations. The study is carried out using lattice-Boltzmann simulations that allow to obtain the aerodynamic and aeroacoustic field simultaneously. As a first step in this investigation of tip flow noise, this paper focuses on a free-tip axial flow fan with a complex tip geometry. The global aerodynamic and acoustic performance of the fan is evaluated numerically and compared to available experimental results. An investigation of the simulated flowfield with regards to the observed acoustics is then carried out.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".