Novel physical applications of thermal radiation within the dissipative EMHD Casson fluid flow past a horizontal Riga plate
Bibliographic record
Abstract
In this study, we investigate the magnetohydrodynamic irreversibility generation that arises in weakly conducting dissipative Casson fluid flow due to the moving Riga plate in an electro-magnetohydrodynamic actuator. The consequences of Joule heating, chemical reaction, heat source, wall suction, and thermal radiation are also assessed in the fluid flow system. The electromagnetic properties of the Riga plate are studied by including the Grinberg term in the momentum equation. The fluid flow mechanism is expressed through the system of PDEs. The modeled PDEs are converted to a set of ODEs, by using the similarity substitution. The solutions are obtained numerically by using the bvp4c approach. It is found that the influence of the wall suction factor remarkably increases the thermodynamic irreversibility and heat transmission rate adjacent to the plate surface, while an opposite effect is observed as the strength of the magnetic field rises. The rising impact of Hartmann and Prandtl number reduces the temperature of the fluid. While the influence of Eckert number and thermal radiation boosts the temperature of Casson fluid. The concentration distribution has declined with growth in Schmidt number, Brownian motion, and chemically reactive factors. A comparative analysis is carried out to match current results with established data. A fine agreement is found amongst all the results that validates the accuracy and reliability of the solutions.
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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) | 0.001 | 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".