Evaporation of Lubricant Films Subjected to Laminar and Turbulent Boundary Layers
Bibliographic record
Abstract
Abstract This work investigates experimentally the effects of grid-generated turbulence on the evaporation of thin oil films subjected to laminar, transitional, and turbulent boundary layers. Particle image velocimetry (PIV) is used to characterize flow development within a rectangular duct (20 mm × 40 mm) with a length of 1 m (∼40Dh). The inlet turbulence intensity is manipulated using wire meshes, and experiments are performed for Reynolds numbers based on the duct hydraulic diameter of 10,650, 17,750, and 35,500. Mass transfer measurements are conducted under the characterized boundary layers for oil films with initial thicknesses of 50 μm at a constant substrate temperature of 150 °C. The Reynolds number is shown to have a significant impact on the evaporation rate, whereas varying near-wall turbulence intensity is shown to have little effect for the parameters investigated in this study. This implies that mean wall shear and transport within the viscous sublayer are the predominant parameters governing the convection-limited mass transfer considered in this investigation.
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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".