Experimental and Numerical Investigation of Controlled Rotomolded Axial Fan by Internal Air Injection at Gap Clearance
Bibliographic record
Abstract
In the present era, axial fans play a pivotal role in crucial sectors of both industry and research.As a result, significant attention has been directed towards enhancing their aerodynamic performances.The ongoing inquiry is centered around elevating the aeraulic efficiencies of a fan produced through rotational molding techniques.First is adopting an active control by injecting a compressed air through 16 holes placed at the fan's hollow shroud ring of a dimension of 4 mm, by leveraging a benefit that involves in exploiting the hollow nature of the fan with the centrifugal effect.In the other hand, the fan's axial position with respect to the casing was investigated to know its influence on aerodynamics performances.The numerical investigation employing the K-ω SST turbulence model allows a detailed characterization of the flow modification around the fan.Results show that the swirling zone that forms around the shroud ring in investigated axial positions as a result of the interaction of the main and leakage flows with casing walls, has a significant impact on the change of the flow topology.In comparison to the baseline case, the aerodynamic performances are improved as the leakage flow and the swirling zone are both reduced.This improvement is translated into a gain of approximately 53% in aeraulic power and a leakage flow reduction of about 80%.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".