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Record W2332296797 · doi:10.3934/dcdsb.2011.15.991

On the objective rate of heat and stress fluxes. Connection with micro/nano-scale heat convection

2011· article· en· W2332296797 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

VenueDiscrete and Continuous Dynamical Systems - B · 2011
Typearticle
Languageen
FieldEngineering
TopicThermoelastic and Magnetoelastic Phenomena
Canadian institutionsWestern University
Fundersnot available
KeywordsCauchy stress tensorHeat fluxTensor (intrinsic definition)Constitutive equationViscous stress tensorStrain rate tensorPhysicsMaxwell stress tensorFlow (mathematics)Classical mechanicsMechanicsHeat transferThermodynamicsMathematicsMathematical analysisGeometry

Abstract

fetched live from OpenAlex

In this paper, the derivation of the convected derivatives for the heat fluxand stress tensor is revisited. A kinematic approach is adopted based onmaterial invariance. These upper-convected derivatives are used in theliterature to generalize Newton's law of viscosity and Fourier's heat law ofheat. The former constitutive law represents the behaviour of a viscoelasticfluid of the Boger type obeying the Oldroyd-B model, and the latterrepresents fluids obeying the Maxwell-Cattaneo's heat equation. Theinvariance of the derivatives under orthogonal transformation is also shown.Although the presentation here is limited to the derivatives of vector andsecond-rank tensor fluxes, the formulation can be generalized to generatethe convected derivative of a tensor flux of arbitrary rank. Finally, theconnection with micro- or nano-channel flow is noted.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.488

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 head0.161
Teacher spread0.157 · 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