A NUMERICAL STUDY OF ASSISTING MIXED CONVECTIVE HEAT TRANSFER FROM NARROW ISOTHERMAL VERTICAL FLAT PLATES
Bibliographic record
Abstract
Many studies of mixed convective heat transfer from heated flat plates with the forced flow parallel to the plate surface are available, most of these studies dealing with wide plates. However, practical situations exist in which there is effectively mixed convective heat transfer from narrow plates and in such cases the relative plate width is expected to have a significant influence on the heat transfer rate. The present study numerically investigates how the relative width of the plate affects the mixed convective heat transfer rate from a thin narrow vertical plate. It has been assumed that the plate surfaces are isothermal. The Boussinesq approach has been adopted. The solution has been obtained using ANSYS FLUENT . The mean heat transfer rate from the heated surface of the plate has been expressed in terms of a Nusselt number based on the length of the plate, this Nusselt numbers being dependent on the Rayleigh number and the Reynolds number based on the plate length, on the ratio of the plate width to the plate length, and on the Prandtl number. Results have only been obtained for a Prandtl number of 0.74. Variations of the Nusselt numbers with Rayleigh number and with Reynolds number for various dimensionless plate widths have been obtained, the results showing that the effect of the plate width on the heat transfer rate can be significant.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".