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Record W4391143511 · doi:10.1002/cjce.25183

Investigating the influence of surface shear stress on the stability of gravity‐driven multilayer liquid flow

2024· article· en· W4391143511 on OpenAlexvenueno aff
Dharmendra S. Tomar

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsnot available
FundersIndian Institute of Technology Roorkee
KeywordsShear stressMaterials scienceMechanicsFlow (mathematics)Shear (geology)Geotechnical engineeringStability (learning theory)Stress (linguistics)Shear flowGeologyComposite materialPhysicsComputer science

Abstract

fetched live from OpenAlex

Abstract We conducted a linear stability analysis on the behaviour of two gravity‐driven Newtonian liquid layers flowing down an inclined rigid plane, subjected to external shear stress at the free surface, in both the direction of and opposite to gravity. A long wave asymptotic analysis was conducted to examine the influence of several parameters, including liquid film thickness ( β ), viscosity ratio ( μ r ), and external shear stress ( τ ), on the interfacial modes of both gas–liquid (GL) and liquid–liquid (LL). For viscosity ratios ( μ r ) < 1 and Reynolds number (Re) = 0, the observations indicate that the LL mode exhibits instability attributed to O( k ) instability. This phenomenon is manifest when an external shear stress is applied at the GL interface, specifically within a defined range of negative shear stress values. When and , the investigation reveals the presence of two complex conjugate roots when external shear stress opposes the direction of gravity. One of these roots, referred to as the positive root, is associated with the leading (or zero) order instability that renders the GL mode unstable. The other root corresponds to the leading (or zero) order stability, contributing to the stability of the LL mode. In contrast, when external shear stress acts along the gravity direction, we observe that the GL mode is stable while the LL mode becomes unstable due to O( k ) instability for various values of β . This finding highlights the importance of the direction of external shear stress in determining the interfacial mode's stability behaviour.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.315

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 integrity0.0000.001
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 head0.009
GPT teacher head0.188
Teacher spread0.179 · 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 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
Published2024
Admission routes1
Has abstractyes

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