Forced convection flow and heat transfer across an in‐line bank of circular cylinders
Bibliographic record
Abstract
The common engineering problem of flow across an in‐line bank of circular cylinders was studied using CFD to investigate the nature of flow and heat transfer of a Newtonian incompressible fluid under a two‐dimensional laminar forced convection regime. The problem was modelled as a unit cell with symmetric and periodic boundary conditions, and the forced convection flow‐governing equations were solved numerically using a finite volume‐based solver (ANSYS Fluent). The study examined the dependence of local and global characteristics (streamlines, pressure and isotherm contours, individual and total drag coefficients, and average Nusselt number) on the following parameters: free‐volume fraction (0.7 ≤ ϕ f ≤ 0.99), Reynolds number (1 ≤ Re ≤ 40), and Prandtl number (0.7 ≤ Pr ≤ 100). The results reveal that, as the cylinder diameter becomes large relative to the pitch (i.e. as ϕ f decreases), friction drag across the cylinder surface increases, as well as pressure drag in the wake. Analogously, heat transfer improves and the Nusselt number increases as cylinder diameter‐to‐pitch ratio increases. The results were used to develop simple correlations for the drag coefficients and average Nusselt number.
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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 | 0.001 |
| 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".