A Case Study of Double Lid Driven Cavity for Low Reynolds Number Flow
Bibliographic record
Abstract
The present numerical study has been accomplished remembering the true objective to explore the low Reynolds number flow with heat exchange behaviors inside a double lid driven square shaped cavity loaded with fluids such as air and water. Specifically, this work explores laminar, steady, incompressible mixed convection flow inside the cavity which has been done numerically by applying Finite Difference Method (FDM). In this analysis, top wall is treated as the heated wall and remaining walls are considered as cold walls. In addition, vertical side walls are moving at a relentless speed in its own particular plane along with the positive direction. Moreover, the numerical simulation is being conveyed out to observe the behavior of flow and thermal fields for variation of low Reynolds Number (Re), Richardson number (Ri) and Prandtl number(Pr). Also, the results have been validated through a comparison with other research works and a good agreement is observed. Also, results show that the above mentioned dimensionless parameters have significant effects on the flow and heat exchange attributes. Moreover, the effects of these parameters on average Nusselt number (Nu) have been analyzed and presented. Dhaka Univ. J. Sci. 66(2): 95-101, 2018 (July)
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.002 | 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".