Vorticity Reorientation in the Near-Tip Region of Rapidly-Accelerating, Finite Aspect-Ratio Plates
Bibliographic record
Abstract
An investigation into the influence of seemingly analogous plate kinematics (plunge vs. tow) for rapidly accelerating, low aspect-ratio plates has been performed. The data was obtained simultaneously by means of a three-dimensional particle tracking velocimetry (3D-PTV) system together with a six-component force/moment sensor. Despite identical effective shear-layer velocities and effective angles of attack, the force histories are found to vary between the two aforementioned cases (plunge and tow). The LEV formation for both cases was found to be nearly identical during the acceleration phase. However, at the end of acceleration the tow LEV rolled-off the plate. As such, the development of vortex force was also observed to cease once this roll-off process started. In accordance with the literature, the tip vortex has been identified to be an important contributor in the overall force production. Tip-vortex strength as well as its relative positioning to the plate surface influences the instantaneous force. However, in addition to these previous studies it has now been demonstrated, based on a Lamb-vector analysis, that the sensitivity of the resulting vortex-force formation is dependent on the interplay between streamwise vorticity and spanwise (inboard) velocity.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".