ENTROPY GENERATION MINIMIZATION OF NANOFLUID FLOW IN A MHD CHANNEL CONSIDERING THERMAL RADIATION EFFECT
Bibliographic record
Abstract
The purpose of this article is the total entropy generation minimization of the nanofluid magneto-hydrodynamic (MHD) flow through a channel formed by two parallel isothermal plates considering thermal radiation effect. Air is the main fluid and three types of nanoparticles such as Al2O3, Ti and Cu are examined. The velocity and temperature fields are obtained from solution of the momentum and energy equations analytically. The local and total entropy generation rates are calculated and then the total entropy generation rate is presented graphically versus governing dimensionless parameters. Electrical efficiency, radiation parameter, nanoparticles volume fraction, Hartman and Peclet numbers are considered in this work. The results show that there are conditions in which the total entropy generation rate could be optimized.DOI: http://dx.doi.org/10.5755/j01.mech.19.4.5050
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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 | 0.000 | 0.001 |
| 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 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".