Effect of Location of Rectangular Orifice on the Momentum Flow of Power-law Fluids
Bibliographic record
Abstract
The present work numerically investigates the flow of power-law fluids through a square-edged rectangular orifice.This study has been carried out for a wide range of power-law index (0.3 -1.0) and three lateral positions of the orifice (0.5 -0.75) at a fixed Reynolds number (i.e., 20) and aspect ratio (i.e., 0.5).This work aims to understand the influence of the shift of the location of the orifice in the lateral direction on the flow characteristics.The new results have been presented in this work in the form of flow patterns, central and lateral velocity profiles, and the discharge coefficient.Notably, the flow pattern demonstrates the formation of symmetric and antisymmetric flow separation zones in the vicinity of the orifice, depending upon the orifice location, regardless of the power-law index.In this work, an effort has been made to analytically derive the equation for the discharge coefficient of non-Newtonian fluids through the rectangular channel and presented the same for a wide range of conditions.Results demonstrate that the flow velocities, i.e., centreline and lateral velocity profiles are a strong function of the governing parameters and orifice location.The discharge coefficient is seen as an increasing function of the orifice location as it shifts in the lateral direction, towards the upper wall of the computational domain.Also, a dramatic effect of the power-law index on the discharge coefficient has been observed herein for a particular orifice location.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".