On the Heat Transfer in Particle-laden Turbulent Flows: the Effect of Collision in an Anisothermal Regime
Bibliographic record
Abstract
In this study, we investigate a two-way thermally coupled collisional turbulent particle-laden flow using Eulerian-Lagrangian point-particle direct numerical simulations.Our aim is to examine the impact of inter-particle collisions on heat transfer in a time-evolving thermal mixing layer that develops between two homothermal regions, which are carried by a homogeneous and isotropic turbulent flow.Our results cover Stokes numbers between 0.2 and 3, with a ratio of thermal Stokes number to Stokes number equal to 4.43, at a Taylor microscale Reynolds number up to 124.We found that particle collisions tend to reduce the particle temperaturevelocity correlation, which results in a small decrease in the average heat transfer compared to a collisionless regime at large Stokes numbers.
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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 | 0.001 | 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".