Estimation of Interfacial Area Concentration for Two-Phase Slug Flow From Dual-Probe Hot-Film Measurements
Bibliographic record
Abstract
A relatively simple technique has been developed to estimate the interfacial area concentration (ai) of vertically upward gas-liquid slug flow from dual-probe hot-film anemometry measurements. The slug flow is modeled as a series of Taylor bubbles having a regular bullet-like shape separated by liquid slugs containing small spherical gas bubbles. The total interfacial area is the sum of the Taylor bubble surface area and the surface area of the bubbles in the liquid slugs. The ai is estimated from the mean diameter and local void fraction of the bubbles in the liquid slugs, and the length of the Taylor bubbles. These parameters are obtained through selective discrimination of the hot-film signals to separate the Taylor bubbles from the smaller gas bubbles in the liquid slugs. The important non-dimensional parameters that influence the interfacial area concentration are obtained using the synthesis method. A new correlation for ai for vertically-upward slug flow is developed based on the present measurements.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".