Investigation of the Impurity Transfer Process in the Boundary Layer above a Concave Wall
Bibliographic record
Abstract
Numerical modeling of the behavior of passive particles (markers) in the boundary layer above a concave surface has been performed. It is shown that, under the influence of longitudinal vortices, they relatively quickly reach the upper boundary of the boundary layer above the tops of the “mushroom” structures. This indicates a significant intensification of heat and mass transfer processes in the presence of a system of longitudinal vortices. We note that the convective transport of a scalar admixture significantly exceeds its propagation under the action of molecular effects. It is important to note that the stems of the “mushroom” structures, along which the markers move away from the wall, are noticeably thinner than the flow region directed towards the wall. This explains the effect of increased heat transfer in the presence of Görtler vortices. It should be noted that the markers were introduced parallel to the transverse coordinate evenly along the segment. Over time, they are concentrated in "mushroom" structures with the same wavelength, and there are no markers between the structures, and the line of these markers becomes wavy with a period equal to the wavelength.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".