Droplet Evaporation in a Turbulent Environment at Elevated Pressure and Temperature Conditions
Bibliographic record
Abstract
A three-dimensional numerical model is developed to assess the effect of freestream turbulence on the vaporization of n-heptane droplet, which is exposed to a freestream of nitrogen at elevated pressure and subcritical temperature conditions. The freestream pressure, temperature and turbulence intensity are varied in the range of 0.5–10 MPa, 324–502 K, and 0%–60%, respectively. Variable thermophysical properties, the unsteadiness behavior of the gas and liquid phases, as well as heat transfer by radiation are all considered. In addition, non-ideality behavior of the gas phase, solubility of the gas into the droplet and pressure dependence of the gas-phase thermophysical properties are also accounted for. The turbulence terms in the conservation equations of the gas-phase are modeled by using the shear-stress transport (SST) model. The results show that, for the temperature range (T∞ < Tc) explored in the present study, the droplet lifetime increases, and thereby the vaporization rate decreases, as pressure rises. However, the effect of pressure gradually diminishes as the ambient temperature increases and vanishes when T∞ approaches the critical temperature of n-heptane, Tc. Moreover, the effect of freestream turbulence intensity, which is found to enhance droplet heat and mass transfer, weakens as pressure increases. Finally, droplet turbulent heat and mass transfer correlations are proposed which account for all the aforementioned parameters.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".