A comprehensive study on multiphase flow through annular pipe using CFD approach
Bibliographic record
Abstract
The objective of the study is to analyze three-dimensional fluid flow through annular pipeline with multiphase fluids using Computational Fluid Dynamics (CFD) simulation. ANSYS Fluent version 16 platform is used to perform the simulation. Eulerian model with Reynolds Stress Model (RSM) turbulence closure is adopted to analyze multiphase fluid flow in annular flow line. The results are validated with existing experimental data and empirical correlations. A robust simulation model is developed that can be used further for different applied cases. Geometry and boundary conditions of flow are adopted from experimental works to validate the simulation. The sensitivity analysis is also conducted to observe the flow characteristics. Fluid inlet velocity of distinct phases, inner pipe rotation and eccentricity are used as input or independent parameter and pressure gradient (pressure loss per unit length) and local concentration profile at different sections of geometry are the primary output parameter to analyze. The key results show that changing inner pipe rotation and eccentricity have a significant impact on output pressure and local particle distribution which eventually help to find way out from particle blockage. The outcome of this study will help oil and gas industry in designing the pipeline.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".