Performance Investigation of Axial-flow Fan with Exhaust-side Eccentric Blockage Disk
Bibliographic record
Abstract
Axial-flow fans, which have a simple structure, are suitable for the cooling of heating elements, such as the electronic components inside personal computers (PCs), owing to their high flow rate and low differential pressure performance. However, under normal operating environments, the performance and efficiency of fans are degraded because their intake or exhaust side is surrounded by numerous components (obstacles) inside a PC. Several studies have been conducted to elucidate the influence of different obstacle geometries and their positions on fan performance to mitigate adverse effects. Kang et al. In addition, experimental and Computational Fluid Dynamics (CFD) results revealed that when the distance was extremely narrow, a flow instability with a pair of high-pressure and low-pressure regions that propagate in the circumferential direction was generated in the distance. An experimental study of the relationship between the eccentricity of the installation position of the intake-side obstacle and the fan performance has also been conducted On the other hand, when obstacles are installed on the exhaust side, the fan performance at a specific distance between the obstacle and the fan is higher compared to the case without the obstacle [3]. However, the available results are limited and a more systematic investigation is needed to elucidate the mechanism of the improvement in fan performance.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".