Background vapor effect on droplet evaporation in a turbulent flow at elevated pressure
Bibliographic record
Abstract
Investigation of the evaporation of single droplets holds a significant importance as it emulates the diluted spray region and helps improve the accuracy of numerical modelling. In the present study, a fan-stirred spherical chamber was employed to generate a homogeneous and isotropic turbulent flow field with negligible mean velocity. This setup was used to investigate the effect of background vapor on the vaporization of a 500 µm pentane droplet in a turbulent flow at elevated pressure and room temperature. Turbulence intensity and pressure were varied, respectively, from stagnant to 1.5 m/s and from 1 to 5 bar. Additionally, the background pentane vapor was altered (on molar basis) from 0 % up to 40 %. The results show that the d2-law is valid throughout all explored test conditions, including in the presence of background vapor. The findings indicated that the presence of background vapor around the evaporating droplet diminishes the droplet vaporization rate under both stagnant and turbulent flow scenarios, with a more pronounced impact at elevated pressure conditions. Furthermore, turbulence is observed to enhance the vaporization rate in the presence of background vapor, with its influence being more substantial at elevated pressure levels and higher concentrations of background vapor. Finally, the experimental data was used to correlate the coupled effect of ambient background vapor, turbulence, and pressure on the vaporization of a pentane droplet in terms of the flow turbulent Reynolds number.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".