Numerical Analysis of a Two-Phase Flow and Mixing Process in a Stirred Tank
Bibliographic record
Abstract
An agitated two-phase flow and the mixing progress in an oil-water stirred tank are studied numerically using FLUENT software. The stirred cylindrical tank is equipped with an axial-type turbine and a radial-type impeller. The full Eulerian multiphase approach coupled with the standard turbulence model is performed to deal with two-phase flow with a higher volume fraction of the second (dispersed) phase. The computation is completed by using unstructured meshes in a multiple reference frame (MRF). For the initial condition of the simulation, oil is set on the top part of the tank with 30% of the total fluid volume. The simulation is conducted to get distributions of two-phase flow speed, pressure and volume fraction and to successfully illustrate how the mixing of two-phase components progresses in the stirred tank. The computational results obtained in this study would be useful for explaining the two-phase flow patterns on the mixing process and extending the applications of multiphase stirred reactors.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".