On Dynamics of Sand Particles Impinging Into an Oil Layer by Two Adjacent Nozzles
Bibliographic record
Abstract
Abstract Understanding the dynamics of particle dispersal in viscous environments, particularly in presence of an immiscible oil-water layer, is crucial for both environmental and industrial processes. This study investigates the behavior of single and twin oblique release of sand particles through two adjacent nozzles and their interactions, focusing on the influence of oil layer thickness, nozzle spacing, and aspect ratio on dynamics and cluster formation of sand particles. Oil layer thickness played a significant role in determining the variations in frontal width and the presence of a thicker oil layer leads to a wider spread of sand particles. The time variation of frontal velocity in twin release of sand particles was affected by both aspect ratio and oil layer thickness and higher aspect ratios resulted in an initial 25% increase in frontal velocity. Advanced cluster size distribution analysis combined with color-coding of clusters, according to their size, were performed to provide detailed information on particle and cluster dynamics. Experimental results indicated that the existence of an oil layer reduced the penetration depth by nearly 20%. Cluster size distribution analysis indicated that at the initial stage of evolution, a thicker oil layer caused the formation of relatively larger cluster sizes by approximately 30%. Smaller nozzle spacing exacerbated the channelization effect, leading to a change in smaller sand clusters from 40% to 60% indicating that cluster segregation and spreading enhances with the reduction of nozzle spacing. The combination of a thin oil layer and narrower nozzle spacing resulted in a smaller cluster formation, which is considered as higher cluster efficiency.
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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".