Experimental Investigation of the Transition from the Segregated Flow Regime to the Intermittent Flow Regime in a Horizontal Pipe
Bibliographic record
Abstract
The importance of two-phase flows in the industry is well established.The prediction of the flow regimes is of paramount importance.For instance, in the transport of hydrocarbon, the flow along the pipe often involves instabilities that can cause transitions between flow regimes, such as the transition from segregated to intermittent flow, resulting in pressure oscillations that can cause significant pipe damage.Understanding and studying the parameters influencing this transition is important for correct regime forecasting and pipe design.This study aims, firstly, providing a classification of sub-regimes in a 40 mm pipe, knowing that flow regimes are essential and useful for modelling hydrodynamic parameters and heat transfer in two-phase gas-liquid flows.Moreover, the present work will be focused on the intermittent regime in which oscillations generated by the passage of liquid slugs may cause pressure oscillations that can lead to pipe leaks.Thus, accurate prediction of the onset of intermittent flow and a better knowledge of the conditions under which it occurs are of great importance.
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 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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".