Impact of oblique magnetic viscous dissipative transport on chemically reactive micro-rotations submerged in porous medium
Bibliographic record
Abstract
The present communication aims to investigate the influence of inclined magnetic field and Joule heating phenomenon in the presence of chemical reaction on micro-rotation of particles suspended in a viscoplastic fluid submerged in a porous medium. Casson fluid is considered as a viscoplastic fluid. Governing physical problem modeling and formulation is performed in the Cartesian coordinate system. A system of partial differential equations is reduced to a system of ordinary differential equations by means of suitable transformation. Nonlinear coupled system is solved numerically with the help of a shooting algorithm. Numerical investigation is carried out for strong and weak concentrations at the boundary. Emerging parameters’ effects on fluid micro-rotation velocities and temperature distribution are displayed and analyzed through graphs for strong and weak concentrations. Further, numerical values of skin friction coefficient and Nusselt number are tabulated for pertinent parameters. From the present analysis it is concluded that fluid decelerates with an increase in Casson fluid parameter, medium porosity, magnetic parameter, and inclination angle in both cases of strong concentration as well as weak concentration while it accelerates with the increase in micropolar parameter and Eckert number. Micro-rotation velocity seems to accelerate at the vicinity of stretching surface for β, K, γ, M, and Γ while it decelerates with the increase in Ec. Temperature rises with the increase in Eckert number, Biot number, inclination angle, magnetic parameter, and thermal convection parameter for strong and weak concentration. Skin friction coefficient increases with an increase in micropolar parameter, magnetic parameter, and medium porosity whereas it decreases with an increase in Casson fluid and thermal convection parameters. Nusselt number magnitude rises with an increase in K, Pr, and Bi, while it lessens with an increase in M, Ec, and γ.
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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 | 0.000 |
| 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 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".