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Record W4405745590 · doi:10.1016/j.ijft.2024.101021

Thermal radiation effect on MHD stagnation point flow with partial slip

2024· article· en· W4405745590 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Thermofluids · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsWiLAN (Canada)
FundersUnited Arab Emirates University
KeywordsStagnation pointMagnetohydrodynamicsMechanicsStagnation temperatureStagnation pressureThermal radiationSlip (aerodynamics)RadiationPhysicsThermodynamicsHeat transferOpticsPlasmaNuclear physics

Abstract

fetched live from OpenAlex

The coupled effect of MHD stagnation point flow and thermal radiation over a shrinking sheet with partial slip is explored. The existence of dual solutions is investigated and studied for velocity, temperature and velocity gradient profiles. Then the transformed set of equations of the flow after applying suitable similarity solutions were encountered by Shooting Technique in conjunction with the fourth ordered Runge-Kutta method. Numerical solutions with graphical representation are studied. For more physical insight the skin friction coefficient number is also examined. In temperature profiles decreasing tendency is noticed with increased Prandtl number, thermal slip parameter values for both solutions. For the first solution, with increased velocity parameter and slip parameter, both the velocity profile and velocity gradient profiles increase and reverse pattern is noticed for the second solution. The current work has numerous practical applications in polymer technology, the manufacturing of glass fibers, and metallurgical processes such as annealing and tinning copper wires, as well as chilling continuous strips or filaments by pulling through quiescent fluids.

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.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.213
Teacher spread0.209 · 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