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Record W2035493277 · doi:10.1115/imece2010-37930

Numerical Approach to Nonlinear Temporal Stability of Visco-Plastic Lubrication

2010· article· en· W2035493277 on OpenAlexaff
Sarah Hormozi, K. Wielage-Burchard, I.A. Frigaard, D. Mark Martinez, Dana Grecov

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMechanicsFlow (mathematics)InstabilityLubricationNewtonian fluidNonlinear systemFinite element methodRotational symmetryStability (learning theory)Dimensionless quantityFinite volume methodMaterials sciencePhysicsComputer scienceThermodynamics

Abstract

fetched live from OpenAlex

A mixed finite element/finite volume method is used to study the entry/start-up flow of core-annular and channel configurations, with a Newtonian central fluid surrounded by a Bingham lubricating fluid. The established flow is known to be temporally stable. Here we explore issues relating to establishing the flow in realistic geometries. Using transient simulation we show that these flows may be stably achieved for a range of flow parameters and explore the development/entry lengths of the steady established flow. We show that three different development lengths can be defined and explain the variations in development/entry length with the dimensionless parameters. Also, nonlinear temporal stability to axisymmetric perturbations is studied numerically to understand structural aspects of the flow stability, not easily extracted from the energy stability method.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2010
Admission routes1
Has abstractyes

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