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Record W4407275650 · doi:10.1016/j.jrras.2025.101335

Novel physical applications of thermal radiation within the dissipative EMHD Casson fluid flow past a horizontal Riga plate

2025· article· en· W4407275650 on OpenAlexaff
Humaira Yasmin, Rawan Bossly, Fuad S. Alduais, Afrah Al‐Bossly, Muhammad Arif

Bibliographic record

VenueJournal of Radiation Research and Applied Sciences · 2025
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsYork University
FundersKing Faisal UniversityDeanship of Scientific Research, King Saud UniversityPrince Sattam bin Abdulaziz University
KeywordsDissipative systemThermal radiationThermalFlow (mathematics)Fluid dynamicsMechanicsPhysicsRadiationMaterials scienceOpticsThermodynamics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.307
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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