Off-centred impacts of droplets on horizontal cylinders with large curvature ratios
Bibliographic record
Abstract
Drop impact on cylindrical objects is a natural phenomenon with important industrial applications, e.g., mesh-style mist eliminators, where the goal is to capture drops on the mesh wires.The impact velocity of the drop on a cylinder is one factor that determines the amount of a drop that is captured, with drops impacting at greater than a threshold velocity only being partially captured by the fibre.The threshold velocity will change depending on how offcentered (eccentric) the drop impacts the cylinder, and the ratio of the fibre and drop diameters, known as the curvature ratio, R * .Currently, little experimental data exists for the threshold velocity of drops impacts in the range of We<14 and curvature ratios R * >1, which this study is designed to provide.This parameter space is equivalent to drops on the order of 10 microns impacting fibers with diameters on the order of 100 microns.We show that the threshold velocity of capture decreases for increasing eccentricity and increases for increasing R * .This is in agreement with results for droplet impacts where the R * <1.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".