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Record W3096172662 · doi:10.1002/mma.6956

Darcy Forchheimer electromagnetic stretched flow of carbon nanotubes over an inclined cylinder: Entropy optimization and quartic chemical reaction

2020· article· en· W3096172662 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

VenueMathematical Methods in the Applied Sciences · 2020
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsFanshawe College
FundersNational Natural Science Foundation of China
KeywordsNanofluidMaterials scienceHeat transferCarbon nanotubeThermal radiationBejan numberComposite materialThermal conductivityMechanicsThermodynamicsNanotechnologyNusselt numberNanoparticlePhysicsReynolds numberTurbulence

Abstract

fetched live from OpenAlex

Carbon nanotubes (CNTs) are characterized with exceptional electrical, thermal, mechanical, chemical, and optical properties (e.g., electrical conductivity, large specific surface area, high thermal conductivity, high hardness and stiffness, light weight, special electronic structure, high aspect ratio and chemical stability, and low specific gravity). Because of such outstanding properties, CNTs are being considered as prime candidate materials in multidisciplinary fields comprising of automotive, material science, aerospace, optical, electrical, biomedical, and energy conversion for nanoscale applications. In view of such advantages, electromagnetic influence on the Darcy Forchheimer flow of single‐walled CNT (SWCNT)/multi‐walled CNT (MWCNT) nanomaterials over an inclined‐extended cylinder subject to quartic chemical reactions has been explored in the present study to improve the performance of existing heat transfer systems. The heat transportation model is enriched with nonlinear thermal radiation, dissipation, and Ohmic heating. This article is more specific about improving the efficiency of thermal‐flow systems through entropy minimization. The dimensionless nonlinear PDEs are solved via Runge–Kutta–Fehlberg approach with shooting technique. The outcome of our investigation reveals that curvature parameter augments the flow field and rate of heat and mass transfer from the cylindrical and flat surfaces. Greater electromagnetic influence favors the flow and viscous drag of SWCNT/MWCNT‐water nanofluids and rate of heat transportation from the extended cylindrical surface. Augmented volume fraction of solid nanoparticles upsurges the entropy generation and Bejan numbers appreciably. The rate of heat transportation from the extended cylindrical surface for MWCNT nanofluid is greater than that of SWCNT nanofluid.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.033
GPT teacher head0.310
Teacher spread0.278 · 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