Particles deposition at horizontal flat plate in turbulent particulate flow
Bibliographic record
Abstract
The deposition of aluminium oxide 12 and 23 μm particles onto a horizontal flat plate within the laminar boundary layer in the free‐stream moderate turbulent flow was studied. The present numerical model considered the deposition onto the surface to be a probabilistic process determined both by hydrodynamics and the adhesive behaviour of particles and surface. Numerical simulation was realised for the flat‐plate laminar boundary layer. The two‐fluid approach was used for writing the Euler equations for a carrier gas and particulate phase. The effects of gravity and lift forces on the particles velocities and mass concentration, occurring within the boundary layer, and deposition were studied separately for various particle sizes. It was revealed that gravity and lift forces have decisive influence on the behaviour of solid particles taken place within the laminar boundary layer and on their deposition that is expressed via the distributions of the particles transverse velocity and mass concentration. These effects become more pronounced for the larger 23 μm particles. This fact, coupled with the higher probability of entrainment by the surface, results in their larger deposition velocity. The given study is the attempt to combine the hydrodynamic and adhesive aspects of the particles deposition for its more accurate estimate that is suitable for various practical devices.
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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 | 0.000 |
| 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) | 0.000 | 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".