Experimental and Numerical Investigation of Phase Separation with Entrance Mixing
Bibliographic record
Abstract
In this paper, experimental and numerical methods are used to investigate the separation of an oil / water mixture. An American Petroleum Institute (API) gravity-based separator was built to conduct the experimental studies. The numerical simulations were developed with the same geometry as the experimental setup. The effect of inlet velocity and the oil volume fraction on the separation process is investigated with the new numerical predictions. Validations of the simulation model show that the numerical predictions of the multiphase Volume of Fluid (VOF) model with the laminar viscosity model agree well with the experimental results. The results of oil volume fraction and velocity vector distribution in the separator showed that there was a mixing zone located at the entrance, which had a lower relative oil volume fraction and a higher velocity. The study of the inlet velocity effect on the mixing length of the entrance mixing zone shows that when the fluid in the separator is in the laminar range, the mixing length is less than 40% of the total separator length. However, when the inlet velocity was increased until the fluid in the separator reached the transient range, the mixing length occupied 90% of the total separator length.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".