Two-Phase Flow in Microchannels: The Case of Binary Mixtures
Bibliographic record
Abstract
Pressure measurements for segmented gas–liquid flows revealed a constant pressure gradient when the gas phase gradually expanded along the channel due to a substantial pressure drop (1500–1600 kPa). The segmented flow was formed by miscible gas and liquid hydrocarbons. A fully saturated liquid (pressurized liquid with dissolved gas) near the bubble point was introduced to the channel. Gas bubbles emerged from the liquid phase due to a reduction in local pressure when the fluid traveled through the channel. The gas phase expanded from nearly 0% up to 70% void fraction as the segmented flow accelerated along the channel. A novel, nonintrusive, in situ pressure measurement was used to accurately determine the pressure profile in the channel. To measure the void fraction and local velocity throughout the channel, a high-speed imaging technique was used. Finally, five different available models were used to describe the experimental results. The models considered the liberation of the gas phase from the saturated liquid as well as the subsequent variations in viscosity using a thermodynamic model.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".