Numerical Investigation of the Behavior of an Oil–Water Mixture in a Venturi Tube
Bibliographic record
Abstract
This work is devoted to numerical investigations of cavitating oil–water flows inside a Venturi tube. The Eulerian–Eulerian multiphase model available in the commercial CFD software ANSYS FLUENT 16.2 is used to explore the cavitation behavior of an oil–water mixture containing 10% water. Four different cases are considered for different oil viscosities (μ o = 0.029, 0.29, 1, and 2.9 kg/(m s)). The results of the simulations revealed that the increase in oil viscosity restricts the development of cavitation at the Reynolds numbers of the oil phase, Re in,o, between 15 and 1618. However, it was found that at the highest viscosity of oil considered in this work, the cavitation phenomenon starts at Re in,o = 15 and increases more rapidly in terms of the flow rate in comparison with two cases with low oil viscosity. In addition, we found out that in the case with the highest oil viscosity, the cavitation starts in the laminar flow, while at lower oil viscosities, the cavitation is characterized by the turbulent flow regime.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".