Numerical investigation of liquid‐liquid two‐phase separation and pressure drop characteristics in <scp>T</scp> ‐junctions
Bibliographic record
Abstract
Abstract Based on the Eulerian and k − ε viscous models, a numerical model of liquid‐liquid two‐phase flow in a T‐junction was established. The simulation results were in reasonable agreement with the experimental data. The effects of the mass fraction taken off through branch and mixture velocity on the separation efficiency and pressure drop characteristics were investigated using the validated model. The results illustrate that the separation efficiency first increases and then decreases with an increase in the mass fraction taken off through branch. When the mass fraction taken off through branch is close to the inlet mass quality, the separation efficiency reaches its maximum. The maximum separation efficiency decreases with the increase of the mixture velocity. In addition, the pressure drop from the inlet to the outlet is primarily due to the local resistance at the intersection and frictional resistance in the pipe, and the pressure drop from the inlet to the branch is majorly caused by the gravity in the branch. It was observed that there is a vortex region at the inlet of the outlet pipe, causing pressure losses.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".