Flow Characteristics of Synthetic Jet Near Curved Wall
Bibliographic record
Abstract
Several experimental and numerical studies have been conducted on the flow characteristics of free and wall synthetic jets, and the results have indicated that these characteristics highly depend on the dimensionless stroke, which is obtained by non-dimensionalizing the stroke (inverse of the oscillation frequency) using the slot width This finding has been applied in the active flow control of the boundary layer and flow separation by installing a synthetic jet on the suction surface of the airfoil [3], and some of the results have been practically applied in flight vehicles. Recently, studies were conducted on jet vectoring by installing a sub-slot of the synthetic jet near the primary jet and using a Coanda surface to reduce input energy loss. Kobayashi et al. [4] and Zhang et al However, although they are important during application, there are very few studies on fundamental flow characteristics such as the development conditions of synthetic jets generated near a curved wall (where the Coanda effect acts), and their results are limited Specifically, the authors did not find any fundamental study on the influence of the dimensionless stroke and ratio of the nozzle width to the surface curvature, that is, the magnitude of the Coanda effect, on the behavior of the synthetic jet generated near a curved wall. In this study, the flow characteristics of a synthetic jet that was tangentially generated from a slot on a curved surface were investigated through experiments and computational fluid dynamics (CFD) assuming two-dimensional incompressible flow. Specifically, the influence of the dimensionless stroke and curvature of the curved wall on the behavior of the generated flow under the action of the Coanda effect was analyzed. Consequently, the effect of the inverse pressure gradient under a constant Reynolds number and dimensionless stroke on the generated flow near the curved wall becomes stronger when the radius of the curved wall is smaller. In addition, the inverse pressure gradient can also affect the behavior of vortex pairs formed near the slot during the blowing phase, resulting in a difference from those of the free and wall synthetic jets, where no centrifugal force is present.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".